{"id":42,"date":"2015-11-30T12:20:33","date_gmt":"2015-11-30T12:20:33","guid":{"rendered":"http:\/\/seoul.testqgraphic.a2hosted.com\/?page_id=42"},"modified":"2025-11-08T09:04:50","modified_gmt":"2025-11-08T00:04:50","slug":"publications","status":"publish","type":"page","link":"https:\/\/data.snu.ac.kr\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<div class=\"lab-row-container vc_row wpb_row vc_row-fluid people-back vc_custom_1498114025671 boomapps_vcrow\" ><div class=\"container lab-vc-container\"><div ><div class=\"wpb_column vc_column_container vc_col-sm-12 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db411fe2\" data-id=\"6aa14db411fe2\" data-height=\"200\" data-height-mobile=\"200\" data-height-tab=\"200\" data-height-tab-portrait=\"200\" data-height-mobile-landscape=\"200\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"lab-row-container vc_row wpb_row vc_row-fluid vc_custom_1448982061687 boomapps_vcrow\" ><div class=\"container lab-vc-container\"><div ><div class=\"wpb_column vc_column_container vc_col-sm-12 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db412351\" data-id=\"6aa14db412351\" data-height=\"30\" data-height-mobile=\"25\" data-height-tab=\"50\" data-height-tab-portrait=\"25\" data-height-mobile-landscape=\"25\" style=\"clear:both;display:block;\"><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-4 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h2 class=\"head2\">Publications<\/h2>\n\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-8 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"ult-spacer spacer-6aa14db412553\" data-id=\"6aa14db412553\" data-height=\"0\" data-height-mobile=\"0\" data-height-tab=\"0\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"lab-row-container vc_row wpb_row vc_row-fluid no-padding vc_custom_1449082101305 boomapps_vcrow\" ><div class=\"container lab-vc-container\"><div ><div class=\"wpb_column vc_column_container vc_col-sm-12 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"vc_tta-container\" data-vc-action=\"collapse\"><div class=\"vc_general vc_tta vc_tta-tabs vc_tta-color-grey vc_tta-style-theme-styled-minimal vc_tta-shape-rounded vc_tta-spacing-1 pub vc_tta-tabs-position-top vc_tta-controls-align-left pub\"><div class=\"vc_tta-tabs-container\"><ul class=\"vc_tta-tabs-list\"><li class=\"vc_tta-tab vc_active\" data-vc-tab><a href=\"#Selected_Papers\" data-vc-tabs data-vc-container=\".vc_tta\"><span class=\"vc_tta-title-text\">Selected Papers (2018~)<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab><a href=\"#Selected_Papers_2004\" data-vc-tabs data-vc-container=\".vc_tta\"><span class=\"vc_tta-title-text\">Selected Papers (prior to 2018)<\/span><\/a><\/li><li class=\"vc_tta-tab\" data-vc-tab><a href=\"#others\" data-vc-tabs data-vc-container=\".vc_tta\"><span class=\"vc_tta-title-text\">Others<\/span><\/a><\/li><\/ul><\/div><div class=\"vc_tta-panels-container\"><div class=\"vc_tta-panels\"><div class=\"vc_tta-panel vc_active\" id=\"Selected_Papers\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h4 class=\"vc_tta-panel-title\"><a href=\"#Selected_Papers\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Selected Papers (2018~)<\/span><\/a><\/h4><\/div><div class=\"vc_tta-panel-body\"><div class=\"vc_row wpb_row vc_inner vc_row-fluid boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 vc_custom_1449081995526 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db4129fa\" data-id=\"6aa14db4129fa\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 vc_custom_1449081995526 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db412a92\" data-id=\"6aa14db412a92\" data-height=\"30\" data-height-mobile=\"30\" data-height-tab=\"30\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2026<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db412bd7\" data-id=\"6aa14db412bd7\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-b3cca387nh\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/?p=4815\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Phrase-Localized Language-Contrastive Guidance: Training-Free Localized Accent Control for Code-Switching Text-to-Speech<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Che Hyun Lee, Sangkwon Park, Donghun Kang, Dongwook Lee, Youngho Cho, Heeseung Kim, Sungroh Yoon, in <em>Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)<\/em>, Budapest, Hungary, October 2026.<br \/>\n<a href=\"\" target=\"_blank\" rel=\"noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2026.emnlp.org\/\" target=\"_blank\" rel=\"noopener\">link<\/a> \u00a0<a href=\"\" target=\"_blank\" rel=\"noopener\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/?p=4813\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Beyond Append-Only Decoding: A Recursive Edit-Based Encoder for Arithmetic Length Generalization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Bong Gyun Kang, Junyong Ahn, Jieun Byeon, Sungroh Yoon, in <em>Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)<\/em>, Budapest, Hungary, October 2026.<br \/>\n<a href=\"\" target=\"_blank\" rel=\"noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2026.emnlp.org\/\" target=\"_blank\" rel=\"noopener\">link<\/a> \u00a0<a href=\"\" target=\"_blank\" rel=\"noopener\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/?p=4811\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Attribute to Reason: Unlocking Speaker-Attributed Reasoning via Counterfactual Voice Grounding<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dongwook Lee, Sangkwon Park, Eunwoo Song, Che Hyun Lee, Youngho Cho, Junho Kim, June Young Yi, Heeseung Kim, Sungroh Yoon, in <em>Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)<\/em>, Budapest, Hungary, October 2026.<br \/>\n<a href=\"\" target=\"_blank\" rel=\"noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2026.emnlp.org\/\" target=\"_blank\" rel=\"noopener\">link<\/a> \u00a0<a href=\"\" target=\"_blank\" rel=\"noopener\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/?p=4809\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Rollout-Level Advantage-Prioritized Experience Replay for GRPO<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Gyeongtae Yoo, Sanghyeok Park, Soohyuk Jang, Ik-hwan Kim, Sungroh Yoon, in <em>Findings of the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP)<\/em>, Budapest, Hungary, October 2026.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2606.04560\" target=\"_blank\" rel=\"noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2026.emnlp.org\/\" target=\"_blank\" rel=\"noopener\">link<\/a> \u00a0<a href=\"https:\/\/arxiv.org\/abs\/2606.04560\" target=\"_blank\" rel=\"noopener\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/?p=4804\" class=\"pt-cv-none\" target=\"pt-cv-none\" >NaturalFlow: Optimizing Speech Flow in Simultaneous Speech-to-Speech Translation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dongwook Lee*, Youngho Cho*, Sangkwon Park, Heeseung Kim, Sungroh Yoon, in <em>Proceedings of the 26th Interspeech Conference, <strong>Oral Presentation (Long Paper)<\/strong><\/em>, Sydney, Australia, September 2026. [* equal contribution]<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/interspeech2026.org\/en-AU\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/?p=4801\" class=\"pt-cv-none\" target=\"pt-cv-none\" >From Awareness to Adherence: Bridging the Context Gap in Spoken Dialogue Systems via Context-Aware Decoding<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Che Hyun Lee, Heeseung Kim, Sungroh Yoon, in <em>Proceedings of the 26th Interspeech Conference<\/em>, Sydney, Australia, September 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/interspeech2026.org\/en-AU\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/07\/10\/contextualized-visual-personalization-in-vision-language-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Contextualized Visual Personalization in Vision-Language Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yeongtak Oh, Sangwon Yu, Junsung Park, Han Cheol Moon, Jisoo Mok, Sungroh Yoon, in <em>Proceedings of the International Conference on Machine Learning (ICML)<\/em>, Seoul, Korea, July 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/07\/10\/diagnosing-and-correcting-concept-omission-in-multimodal-diffusion-transformers\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Diagnosing and Correcting Concept Omission in Multimodal Diffusion Transformers<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Kanghyun Baek, Jaihyun Lew, Chaehun Shin, Jungbeom Lee, Sungroh Yoon, in <em>Proceedings of the International Conference on Machine Learning (ICML)<\/em>, Seoul, Korea, July 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/07\/10\/r2r2-robust-representation-for-intensive-experience-reuse-via-redundancy-reduction-in-self-predictive-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sanghyeob Song, Donghyeok Lee, Jinsik Kim, Sungroh Yoon, in <em>Proceedings of the International Conference on Machine Learning (ICML)<\/em>, Seoul, Korea, July 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/07\/10\/time-conditioned-foreseeing-an-ehr-specific-foundation-model-for-irregular-dynamics-and-calendrical-time\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Time-Conditioned Foreseeing: An EHR-Specific Foundation Model for Irregular Dynamics and Calendrical Time<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Bong Gyun Kang, Junyong Ahn, Hyeongrok Han, Sungroh Yoon, in <em>Proceedings of the International Conference on Machine Learning (ICML)<\/em>, Seoul, Korea, July 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/07\/02\/4778\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Verbal-R3: Verbal Reranker as the Missing Bridge between Retrieval and Reasoning<\/a><\/h4>\n<div class=\"pt-cv-content\">\r\n<p>Sangkwon Park*, Donghun Kang*, Jisoo Mok, Sungroh Yoon, in <em>Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, San Diego, USA, July 2026. [* equal contribution]<br \/><a target=\"_blank\" rel=\"noreferrer noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2026.aclweb.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">link<\/a><\/p> \r\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/07\/02\/still-between-us-a-dataset-and-framework-for-third-party-interruption-in-voice-assistants\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Still Between Us? A Dataset and Framework for Third-Party Interruption in Voice Assistants<\/a><\/h4>\n<div class=\"pt-cv-content\">\r\n<p>Dongwook Lee, Heeseung Kim, Eunwoo Song, Che Hyun Lee, Sungroh Yoon, in <em>Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, San Diego, USA, July 2026.<br \/><a target=\"_blank\" rel=\"noreferrer noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2026.aclweb.org\/\" target=\"_blank\" rel=\"noreferrer noopener\">link<\/a><\/p> \r\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/06\/03\/hess-head-sensitivity-score-for-sparsity-redistribution-in-vggt\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT<\/a><\/h4>\n<div class=\"pt-cv-content\">\n<p>Yongsung Kim, Wooseok Song, Jaihyun Lew, Hun Hwangbo, Jaehoon Lee, Sungroh Yoon, in <em>Proceedings of IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, Denver, USA, June 2026.<br \/><a target=\"_blank\" rel=\"noreferrer noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/cvpr.thecvf.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">link<\/a><\/p>\n\n\n\n<p><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/04\/27\/mobilekgqa-on-device-kgqa-system-on-dynamic-mobile-environments\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Junyong Ahn, Hyeongrok Han, Bong Gyun Kang, Jisoo Mok, Byunghan Lee, Sungroh Yoon, in <em>Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)<\/em>, Rio de Janeiro, Brazil, April 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/iclr.cc\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/04\/27\/ssdi8-accurate-and-efficient-8-bit-quantization-for-state-space-duality\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >SSDi8: Accurate and Efficient 8-bit Quantization for State Space Duality<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyunwoo Kim, Byoungchan Ko, Minseok Kang, Minwoo Kim, Dongjin Lee, Jaehoon Lee, Sungroh Yoon, Dahuin Jung, in <em>Proceedings of the Fourteenth International Conference on Learning Representations (ICLR)<\/em>, Rio de Janeiro, Brazil, April 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/iclr.cc\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/03\/10\/dctext-scheduled-attention-masking-for-visual-text-generation-via-divide-and-conquer-strategy\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaewoo Song, Jooyoung Choi, Kanghyun Baek, Sangyub Lee, Daemin Park, Sungroh Yoon, in <em>Proceedings of IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), <strong>Oral Presentation<\/strong><\/em>, Tucson, USA, March 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/wacv.thecvf.com\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/03\/10\/style-friendly-snr-sampler-for-style-driven-generation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Style-Friendly SNR Sampler for Style-Driven Generation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jooyoung Choi*, Chaehun Shin*, Yeongtak Oh, Heeseung Kim, Jungbeom Lee, Sungroh Yoon, in <em>Proceedings of IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)<\/em>, Tucson, USA, March 2026. [* equal contribution]<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2411.14793\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/wacv.thecvf.com\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2411.14793\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/03\/10\/gdofs-gaussian-dof-separation-for-plausible-3d-geometry-in-sparse-view-3dgs\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >GDoFS: Gaussian DoF Separation for Plausible 3D Geometry in Sparse-View 3DGS<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yongsung Kim, Jooyoung Choi, Sungroh Yoon, in <em>Proceedings of IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)<\/em>, Tucson, USA, March 2026. [Special thanks to Minjun Park]<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2412.14568\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/wacv.thecvf.com\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2412.14568\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/03\/10\/save-sparse-autoencoder%e2%80%91driven-visual-information-enhancement-for-mitigating-object-hallucination\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >SAVE: Sparse Autoencoder\u2011Driven Visual Information Enhancement for Mitigating Object Hallucination<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangha Park, Seungryong Yoo, Jisoo Mok, Sungroh Yoon, in <em>Proceedings of IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)<\/em>, Tucson, USA, March 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/wacv.thecvf.com\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/03\/10\/guiding-what-not-to-generate-automated-negative-prompting-for-text-image-alignment\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangha Park, Eunji Kim, Yeongtak Oh, Jooyoung Choi, Sungroh Yoon, in <em>Proceedings of IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)<\/em>, Tucson, USA, March 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/wacv.thecvf.com\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/01\/27\/candi-curated-test-time-adaptation-for-multivariate-time-series-anomaly-detection-under-distribution-shift\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution Shift<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon, in <em>Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI)<\/em>, Singapore, January 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/aaai.org\/conference\/aaai\/aaai-26\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-49be5688se\">#pt-cv-view-b3cca387nh .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-b3cca387nh .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-b3cca387nh .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b3cca387nh  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-b3cca387nh  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b3cca387nh .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-b3cca387nh .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b3cca387nh { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-bb722can07\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/05\/30\/improving-transferability-in-image-classification-through-refinement-of-discriminative-features\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Improving Transferability in Image Classification through Refinement of Discriminative Features<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>HyunGi Kim, Seungryong Yoo, Bong Gyun Kang, Saehyung Lee, Jaekoo Lee, Sungroh Yoon, in <em>IEEE Transactions on Artificial Intelligence<\/em>, vol. 7, no. 5, pp. 2774-2787, May 2026.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.computer.org\/csdl\/journal\/ai\/5555\/01\/11215763\/2b3fOpHwfG8\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/04\/18\/data-driven-discovery-of-quaternary-ammonium-interlayers-for-efficient-and-thermally-stable-perovskite-solar-cells\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Data-Driven Discovery of Quaternary Ammonium Interlayers for Efficient and Thermally Stable Perovskite Solar Cells<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongbeom Kim*, Yang Jeong Park*, Chaehoon Jeon, Nahye Shin, Jaewang Park, Seungun Lee, Jino Im, Sungroh Yoon, Sang Il Seok, in <em>Advanced Materials<\/em>, no. 28: e22554, April 2026. [* equal contribution]<br \/>\n<a target=\"_blank\" rel=\"noopener\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/advanced.onlinelibrary.wiley.com\/journal\/15214095\" target=\"_blank\" rel=\"noopener\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/03\/01\/exploring-the-transformer-based-and-diffusion-based-models-for-single-image-deblurring\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Exploring the Transformer-based and Diffusion-based Models for Single Image Deblurring<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghwan Park, Chaehun Shin, Jaihyun Lew, Sungroh Yoon, in <em>Journal of Visual Communication and Image Representation<\/em>, vol. 116, 104735, March 2026.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1047320326000301\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/01\/17\/beyond-language-specific-neurons-the-challenge-of-identifying-speech-specific-neurons-in-multimodal-llms\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Beyond Language-Specific Neurons: The Challenge of Identifying Speech-Specific Neurons in Multimodal LLMs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Nohil Park, Che Hyun Lee, Jiheum Yeom, Heeseung Kim, Sungroh Yoon, in <em>IEEE Journal of Selected Topics in Signal Processing<\/em>, vol. 20, no. 1, pp. 90-98, January 2026.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/signalprocessingsociety.org\/publications-resources\/ieee-journal-selected-topics-signal-processing\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/01\/15\/machine-learning-based-utilization-of-lipid-panels-in-predicting-kidney-dysfunction\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Machine learning-based utilization of lipid panels in predicting kidney dysfunction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Soie Kwon*, Donghwan Yoon*, Changhwa Park*, Sehoon Park, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Sungroh Yoon, Seung Seok Han, in <em>Kidney Research and Clinical Practice<\/em>, January 2026. [* equal contribution]<br \/>\n<a href=\"https:\/\/krcp-ksn.org\/upload\/pdf\/j-krcp-25-052.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/krcp-ksn.org\/journal\/view.php?doi=10.23876\/j.krcp.25.052\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2026\/01\/01\/a-multifaceted-analysis-of-negative-bias-in-large-language-models-through-the-lens-of-parametric-knowledge\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A Multifaceted Analysis of Negative Bias in Large Language Models through the Lens of Parametric Knowledge<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongyoon Song, Sangwon Yu, Sungroh Yoon, in <em>IEEE\/ACM Transactions on Audio, Speech and Language Processing<\/em>, vol. 34, pp. 14-28, January 2026.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=6570655\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-0eede8bkt6\">#pt-cv-view-bb722can07 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-bb722can07 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-bb722can07 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-bb722can07  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-bb722can07  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-bb722can07 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-bb722can07 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-bb722can07 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-4a96715lj5\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page cv-npf\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><div class=\"pt-cv-no-post\">No posts found.<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-77b3cb339l\">#pt-cv-view-4a96715lj5 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-4a96715lj5 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-4a96715lj5 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-4a96715lj5  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-4a96715lj5  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-4a96715lj5 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-4a96715lj5 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-4a96715lj5 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db412d90\" data-id=\"6aa14db412d90\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2025<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db412e64\" data-id=\"6aa14db412e64\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-078dea5ekq\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/12\/02\/repic-reinforced-post-training-for-personalizing-multi-modal-language-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yeongtak Oh, Jisoo Mok, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Sungroh Yoon, in <em>Proceedings of Annual Conference on Neural Information Processing Systems (NeurIPS)<\/em>, San Diego, USA, December 2025.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2506.18369\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2506.18369\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/12\/02\/interpretable-next-token-prediction-via-the-generalized-induction-head\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Interpretable Next-token Prediction via the Generalized Induction Head<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao, in <em>Proceedings of Annual Conference on Neural Information Processing Systems (NeurIPS)<\/em>, San Diego, USA, December 2025.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2411.00066\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2411.00066\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/10\/23\/know-no-better-a-data-driven-approach-for-enhancing-negation-awareness-in-clip-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Know &#8220;No&#8221; Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung, Sungroh Yoon, in <em>Proceedings of International Conference on Computer Vision (ICCV)<\/em>, Hawaii, USA, October 2025.<br \/>\n<a href=\"https:\/\/openaccess.thecvf.com\/content\/ICCV2025\/papers\/Park_Know_No_Better_A_Data-Driven_Approach_for_Enhancing_Negation_Awareness_ICCV_2025_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content\/ICCV2025\/html\/Park_Know_No_Better_A_Data-Driven_Approach_for_Enhancing_Negation_Awareness_ICCV_2025_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2501.10913\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content\/ICCV2025\/supplemental\/Park_Know_No_Better_ICCV_2025_supplemental.pdf\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/07\/27\/exploring-the-potential-of-llms-as-personalized-assistants-dataset-evaluation-and-analysis\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jisoo Mok*, Ik-hwan Kim*, Sangkwon Park*, Sungroh Yoon, in <em>Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, Vienna, Austria, July 2025. [* equal contribution]<br \/>\n<a href=\"https:\/\/aclanthology.org\/2025.acl-long.504.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2025.acl-long.504\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2506.01262\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/07\/27\/editext-controllable-coarse-to-fine-text-editing-with-diffusion-language-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Che Hyun Lee, Heeseung Kim, Jiheum Yeom, Sungroh Yoon, in <em>Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, Vienna, Austria, July 2025.<br \/>\n<a href=\"https:\/\/aclanthology.org\/2025.acl-long.1111.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2025.acl-long.1111\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2502.19765\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/07\/27\/does-your-voice-assistant-remember-analyzing-conversational-context-recall-and-utilization-in-voice-interaction-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heeseung Kim*, Che Hyun Lee*, Sangkwon Park, Jiheum Yeom, Nohil Park, Sangwon Yu, Sungroh Yoon, in <em>Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings)<\/em>, Vienna, Austria, July 2025. [* equal contribution]<br \/>\n<a href=\"https:\/\/aclanthology.org\/2025.findings-acl.470.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2025.findings-acl.470\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2502.19759\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/07\/13\/toward-robust-hyper-detailed-image-captioning-a-multiagent-approach-and-dual-evaluation-metrics-for-factuality-and-coverage\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Vancouver, Canada, July 2025.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=REnIf3dCsI\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/virtual\/2025\/poster\/45289\" target=\"_blank\">link<\/a>\u00a0\u00a0<a target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/07\/13\/visual-attention-never-fades-selective-progressive-attention-recalibration-for-detailed-image-captioning-in-multimodal-large-language-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Vancouver, Canada, July 2025.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=zuXCQRhbl4\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/virtual\/2025\/poster\/43450\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/07\/13\/causality-aware-contrastive-learning-for-robust-multivariate-time-series-anomaly-detection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Vancouver, Canada, July 2025.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=EGpueKe6TP\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/virtual\/2025\/poster\/45960\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/06\/10\/rethinking-training-for-de-biasing-text-to-image-generation-unlocking-the-potential-of-stable-diffusion\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunji Kim*, Siwon Kim*, Minjun Park, Rahim Entezari, Sungroh Yoon, in <em>Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, Nashville, USA, June 2025. [* equal contribution]<br \/>\n<a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2025\/papers\/Kim_Rethinking_Training_for_De-biasing_Text-to-Image_Generation_Unlocking_the_Potential_of_CVPR_2025_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2025\/html\/Kim_Rethinking_Training_for_De-biasing_Text-to-Image_Generation_Unlocking_the_Potential_of_CVPR_2025_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/06\/10\/large-scale-text-to-image-model-with-inpainting-is-a-zero-shot-subject-driven-image-generator\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon, in <em>Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, Nashville, USA, June 2025.<br \/>\n<a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2025\/papers\/Shin_Large-Scale_Text-to-Image_Model_with_Inpainting_is_a_Zero-Shot_Subject-Driven_Image_CVPR_2025_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2025\/html\/Shin_Large-Scale_Text-to-Image_Model_with_Inpainting_is_a_Zero-Shot_Subject-Driven_Image_CVPR_2025_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/06\/10\/defectfill-realistic-defect-generation-with-inpainting-diffusion-model-for-visual-inspection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaewoo Song, Daemin Park, Kanghyun Baek, Sangyub Lee, Jooyoung Choi, Eunji Kim, Sungroh Yoon, in <em>Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), <strong>Highlight Presentation<\/strong><\/em>, Nashville, USA, June 2025.<br \/>\n<a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2025\/papers\/Song_DefectFill_Realistic_Defect_Generation_with_Inpainting_Diffusion_Model_for_Visual_CVPR_2025_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2025\/html\/Song_DefectFill_Realistic_Defect_Generation_with_Inpainting_Diffusion_Model_for_Visual_CVPR_2025_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/04\/29\/correcting-negative-bias-in-large-language-models-through-negative-attention-score-alignment\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangwon Yu*, Jongyoon Song*, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune Gwon, Sungroh Yoon, in <em>Proceedings of Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), <strong>Oral Presentation<\/strong><\/em>, Albuquerque, USA, April 2025. [* equal contribution]<br \/>\n<a href=\"https:\/\/aclanthology.org\/2025.naacl-long.503.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2025.naacl-long.503\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2408.00137\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/04\/29\/unleashing-multi-hop-reasoning-potential-in-large-language-models-through-repetition-of-misordered-context\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon, in <em>Findings of Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL Findings)<\/em>, Albuquerque, USA, April 2025.<br \/>\n<a href=\"https:\/\/aclanthology.org\/2025.findings-naacl.360.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2025.findings-naacl.360\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2410.07103\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/04\/06\/4451\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >NanoVoice: Efficient Speaker-Adaptive Text-to-Speech for Multiple Speakers<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Nohil Park, Heeseung Kim, Che Hyun Lee, Jooyoung Choi, Jiheum Yeom, Sungroh Yoon, in <em>Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), <strong>Oral Presentation<\/strong><\/em>, Hyderabad, India, April 2025.<br \/>\n<a href=\"https:\/\/data.snu.ac.kr\/wp-content\/uploads\/2025\/11\/NanoVoice_Efficient_Speaker-Adaptive_Text-to-Speech_for_Multiple_Speakers.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/10889369\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2409.15760\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/04\/06\/voiceguider-enhancing-out-of-domain-performance-in-parameter-efficient-speaker-adaptive-text-to-speech-via-autoguidance\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jiheum Yeom, Heeseung Kim, Jooyoung Choi, Che Hyun Lee, Nohil Park, Sungroh Yoon, in <em>Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)<\/em>, Hyderabad, India, April 2025.<br \/>\n<a href=\"https:\/\/data.snu.ac.kr\/wp-content\/uploads\/2025\/11\/VoiceGuider_Enhancing_Out-of-Domain_Performance_in_Parameter-Efficient_Speaker-Adaptive_Text-to-Speech_via_Autoguidance.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/10888185\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2409.15759\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/02\/25\/disentangled-motion-modeling-for-video-frame-interpolation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Disentangled Motion Modeling for Video Frame Interpolation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon, in <em>Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI)<\/em>, Philadelphia, USA, February 2025.<br \/>\n<a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/32486\/34641\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/32486\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2406.17256\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/02\/25\/battling-the-non-stationarity-in-time-series-forecasting-via-test-time-adaptation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon, in <em>Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI)<\/em>, Philadelphia, USA, February 2025.<br \/>\n<a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/33965\/36120\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/33965\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-7daba68hil\">#pt-cv-view-078dea5ekq .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-078dea5ekq .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-078dea5ekq .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-078dea5ekq  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-078dea5ekq  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-078dea5ekq .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-078dea5ekq .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-078dea5ekq { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-7cc2437ps2\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/12\/31\/unbiased-microrna-disease-association-prediction-using-icd-11-codes-and-negative-sampling\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Unbiased microRNA\u2013disease association prediction using ICD-11 codes and negative sampling<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Munyoung Chang, Jeonghee Jo, Junyong Ahn, Bong Gyun Kang, Sun Mo Nam, Chul-Kee Park, Sungroh Yoon, in <em>Pharmacology Research &#038; Perspectives <\/em>, vol. 13, no. 6, p. e70192, December 2025.<br \/>\n<a href=\"https:\/\/bpspubs.onlinelibrary.wiley.com\/doi\/epdf\/10.1002\/prp2.70192\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/bpspubs.onlinelibrary.wiley.com\/doi\/full\/10.1002\/prp2.70192\" target=\"_blank\">link<\/a>\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/12\/01\/an-llm-as-a-virtual-simulation-model-for-language-eloquent-area-surgery-in-human-%e2%80%af\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >An LLM as a virtual simulation model for language-eloquent area surgery in human \u202f<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sun Mo Nam*, Nohil Park*, Chul-Kee Park, Munyoung Chang, Sungroh Yoon, in <em>Medical Hypotheses<\/em>, vol. 205, p. 111792, December 2025.\u00a0[* equal contribution]<br \/>\n<a href=\"https:\/\/pdf.sciencedirectassets.com\/272414\/1-s2.0-S0306987725X00116\/1-s2.0-S0306987725002312\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEAEaCXVzLWVhc3QtMSJGMEQCIGTQ%2FXWjBpktp4qSAXpTne4Yenm5740O8pyobSIRlI3hAiA2A%2BrvXJqi29dZynNllFXMF65%2F8ATxlmDeQpqxsmGNMiq7BQjJ%2F%2F%2F%2F%2F%2F%2F%2F%2F%2F8BEAUaDDA1OTAwMzU0Njg2NSIMxLMnDbeIQI6S882RKo8FYrrz5iIsScvb2MoZ2f9vmxcx4Vz5fEKLyD9F87AE69MUArX7wrTqCUafTWx0C96ztf9SY3UGuC6ryTZHSwR37S52hZk0He8RaH65JpnSqvLMyNIHcjIrDazguRM7MiPPQ%2FySrkKS2tPJG49lXGsuLVUki17uJ1YzpenV98HBIcWXQ2q%2FXKUbgos8Q3vfhnyGvH2b%2F0GM%2B0wIgzbLXL5zqyIhHspNvRCsMwWt1kVOPLofaSklA1V0R%2FKlI363cGpI0AuJZJG7ysDIde6ARS9CkHtqoNvoN66ZQtX%2BtnpEQPJTitBvCG7FPWZIdM7LRx0RjMY%2FSWEFa4Tjmq3X9gQsibdggJSgCXD1IbC7Nf2CPdx8chivbqKycSRWNm8aR5eavoYLmhaGyLQvBt2MDBBwVl4Vtf9K5B6M7K3YyqbcGU8Qg24zNUqhIiieIyncux%2Fv8IDTPlfk24e5o%2BcB7ANrNSQK7GduorNiAo8ic%2Fic2NLuq%2Fl2GAa3g9Z3WmVCEmUfS9SdoCUcfmLctq8ETplueZPubdiY0F1RgFPt6Ef6oos92pp1KIVkVYJoH8kXUvYTvhx9wYxBnFK6lEhvNBmqKuPKu1SLZDhc1R1jj1M%2FN06q8EiOrp16dSCLJEm8aCZzTlU6RKWf0yMT91%2B93A4QOrZDzxLBAW%2BoD5gtUfplT7pr7RZfimVDykVpIpuXekfZ5e1Rh8zDYGdAvbOIL7FI5iEEfwtPB8GY2JgLyg3onbic9M%2FzunhXMYS3FN6IkS9o%2Fn4gaOnaA6SYk%2F5kQlJ9pL%2ByOjWVPYixhlcYQXIlvI7MuVAg1L65oBkHicFWtOAXQxcTQHqs7pXGrcBGTuIz07Y8OukE2VVXxjKR2g8ZJTCsmbrIBjqyAT7eIkMq4VzELGS%2Fsp05HnUAiCX0fDgqKsWemkADtpwKmZSeUkCM4Us8gi140siZ%2FayJ7FwSpTeq22bkltp9n9g1A%2FJxhRH1RuTYmAIrTmfVIPyYoAYbw8MVcUaiqyR5a3YTFPNDejHZPWapQwOTdGfwlkQshmpMuuivkUdn2%2FHfAGzI4t22TbYu8xoiKsV2Pt1jetJRzKz2mNujt9OHVoENsZ7D2HK8zBOIXtqKpnUYkiM%3D&#038;X-Amz-Algorithm=AWS4-HMAC-SHA256&#038;X-Amz-Date=20251108T010313Z&#038;X-Amz-SignedHeaders=host&#038;X-Amz-Expires=300&#038;X-Amz-Credential=ASIAQ3PHCVTYYYYHB2UY%2F20251108%2Fus-east-1%2Fs3%2Faws4_request&#038;X-Amz-Signature=f1c30bad7640e19211a2094e5e1147f7d9b5dc74c823752e496db587ccb519db&#038;hash=ec9d6e0f38cd09fd59fb375425e6f843fd83a2df0426b6cbcb40a8f610547a66&#038;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&#038;pii=S0306987725002312&#038;tid=spdf-009501e5-7091-40f3-a694-38f5ca3061f0&#038;sid=5ae4effb93dd784db1780590a6eed95cfaacgxrqa&#038;type=client&#038;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&#038;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&#038;ua=11165c5a0d5f5d515003&#038;rr=99b1263a589bf2d4&#038;cc=kr\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0306987725002312\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/11\/30\/applications-and-future-perspectives-of-large-language-models-in-otolaryngology-head-and-neck-surgery-a-comprehensive-survey\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Applications and Future Perspectives of Large Language Models in Otolaryngology-Head and Neck Surgery: A Comprehensive Survey<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Junyong Ahn*, Bong Gyun Kang*, Munyoung Chang, Sungroh Yoon, <em>Clinical &amp; Experimental Otorhinolaryngology<\/em>,\u00a0vol. 18, no. 4, pp. 283-295, November 2025. [* equal contribution]<br \/>\n<a href=\"https:\/\/e-ceo.org\/upload\/pdf\/ceo-2025-00121.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/e-ceo.org\/journal\/view.php?id=10.21053\/ceo.2025-00121\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/11\/01\/training-free-diffusion-generative-steganography-via-message-projection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Diffusion-Stego: Training-free diffusion generative steganography via message projection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon, <em>Information Sciences<\/em>, vol. 718, p. 122358, November 2025.<br \/>\n<a href=\"https:\/\/data.snu.ac.kr\/wp-content\/uploads\/2025\/10\/1-s2.0-S0020025525004906-main.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/journal\/information-sciences\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/07\/22\/cnn-based-tem-image-denoising-from-first-principles\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CNN-based TEM image denoising from first principles<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jinwoong Chae, Sungwook Hong, Sungkyu Kim, Sungroh Yoon, Gunn Kim, <em>Computational Materials Science<\/em>, vol. 259, 114146, September 2025.<br \/>\n<a href=\"https:\/\/data.snu.ac.kr\/wp-content\/uploads\/2025\/10\/1-s2.0-S0927025625004896-main.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0927025625004896\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2501.11225\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/05\/01\/on-mitigating-stability-plasticity-dilemma-in-clip-guided-image-morphing-via-geodesic-distillation-loss\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon, <em> International Journal of Computer Vision<\/em>, vol. 133, pp. 2721-2751, https:\/\/doi.org\/10.1007\/s11263-024-02308-z, May 2025.<br \/>\n<a href=\"https:\/\/data.snu.ac.kr\/wp-content\/uploads\/2025\/10\/s11263-024-02308-z.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11263-024-02308-z\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2401.10526\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/04\/04\/a-comprehensive-survey-of-time-series-forecasting-architectural-diversity-and-open-challenges\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongseon Kim, Hyungjoon Kim, HyunGi Kim, Dongjun Lee, Sungroh Yoon, <em>Artificial Intelligence Review<\/em>, vol. 58, no. 216, https:\/\/doi.org\/10.1007\/s10462-025-11223-9, April 2025.<br \/>\n<a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-025-11223-9.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10462-025-11223-9\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2411.05793\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2025\/02\/25\/regularizing-hard-examples-improves-adversarial-robustness\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Regularizing hard examples improves adversarial robustness<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon, <em>Journal of Machine Learning Research<\/em>, vol. 26, no. 20. pp. 1-48, February 2025.<br \/>\n<a href=\"https:\/\/jmlr.org\/papers\/volume26\/22-1428\/22-1428.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/jmlr.org\/papers\/v26\/22-1428.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-5c9cf57fwu\">#pt-cv-view-7cc2437ps2 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-7cc2437ps2 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-7cc2437ps2 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-7cc2437ps2  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-7cc2437ps2  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-7cc2437ps2 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-7cc2437ps2 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-7cc2437ps2 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-dd60e33enu\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page cv-npf\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><div class=\"pt-cv-no-post\">No posts found.<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-e7f180b0uf\">#pt-cv-view-dd60e33enu .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-dd60e33enu .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-dd60e33enu .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-dd60e33enu  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-dd60e33enu  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-dd60e33enu .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-dd60e33enu .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-dd60e33enu { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db412f93\" data-id=\"6aa14db412f93\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2024<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db41305b\" data-id=\"6aa14db41305b\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-beeb97armz\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/12\/16\/unified-speech-text-pretraining-for-spoken-dialog-modeling\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Integrating Paralinguistics in Speech-Empowered Large Language Models for Natural Conversation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha, Sungroh Yoon, Kang Min Yoo, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, Vancouver, Canada, December 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2402.05706.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2402.05706\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/12\/16\/unsupervised-homography-estimation-on-multimodal-image-pair-via-alternating-optimization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, Vancouver, Canada, December 2024.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/12\/16\/introducing-spectral-attention-for-long-range-dependency-in-time-series-forecasting\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Bong Gyun Kang*, Dongjun Lee*, HyunGi Kim, Dohyun Chung, Sungroh Yoon, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, Vancouver, Canada, December 2024. [* equal contribution]<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/12\/16\/textual-training-for-the-hassle-free-removal-of-unwanted-visual-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Textual Training for the Hassle-Free Removal of Unwanted Visual Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, Vancouver, Canada, December 2024.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/11\/25\/controldreamer-stylized-3d-generation-with-multi-view-controlnet\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >ControlDreamer: Stylized 3D Generation with Multi-View ControlNet<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yeongtak Oh*, Jooyoung Choi*, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon, in <em>Proceedings of the 35th British Machine Vision Conference (BMVC)<\/em>, Glasgow, UK, November 2024. [* equal contribution]<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2312.01129.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/bmvc2024.org\/\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/2312.01129\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/11\/16\/semantic-token-reweighting-for-interpretable-and-controllable-text-embeddings-in-clip\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon, in <em>Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings)<\/em>, Miami, Florida, USA 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2410.08469\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2024.emnlp.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2410.08469\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/10\/21\/cknn-cleansed-k-nearest-neighbor-for-unsupervised-video-anomaly-detection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jihun Yi, Sungroh Yoon, in <em>Proceedings of the 33rd ACM Conference on Information and Knowledge Management (CIKM)<\/em>, Boise, USA, October 2024.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/cikm2024.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/09\/29\/efficient-diffusion-driven-corruption-editor-for-test-time-adaptation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yeongtak Oh*, Jonghyun Lee*, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon, in <em>Proceedings of European Conference on Computer Vision (ECCV)<\/em>, Milano, Italy, September 2024. [* equal contribution]<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2403.10911.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/eccv.ecva.net\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2403.10911\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/09\/05\/voicetailor-lightweight-plug-in-adapter-for-diffusion-based-personalized-text-to-speech\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heeseung Kim, Sang-gil Lee, Jiheum Yeom, Che Hyun Lee, Sungwon Kim, Sungroh Yoon, in <em>Proceedings of the 25th Interspeech Conference<\/em>, Kos Island, Greece, September 2024.<br \/>\n<a href=\"https:\/\/interspeech2024.org\/\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/interspeech2024.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/09\/01\/normality-addition-via-normality-detection-in-industrial-image-anomaly-detection-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jihun Yi, Dahuin Jung, Sungroh Yoon, in <em>Proceedings of International Conference on Artificial Intelligence and Pattern Recognition<\/em>, Xiamen, China, September 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2407.19849\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/09\/01\/zero-shot-denoising-for-real-world-images\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Zero-shot Denoising for Real-world Images<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyemi Jang, Jooyoung Choi, Jaihyun Lew, Kanghyun Baek, Sungroh Yoon, in <em>Proceedings of International Conference on Artificial Intelligence and Pattern Recognition<\/em>, Xiamen, China, September 2024.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/08\/11\/interactive-text-to-image-retrieval-with-large-language-models-a-plug-and-play-approach\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Saehyung Lee*, Sangwon Yu*, Junsung Park, Jihun Yi, Sungroh Yoon, in <em>Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, <em><strong>Oral Presentation<\/strong><\/em>, Bangkok, Thailand, August 2024. [* equal contribution]<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2406.03411\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2024.aclweb.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/08\/11\/controlled-text-generation-for-black-box-language-models-via-score-based-progressive-editor-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon, in <em>Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, Bangkok, Thailand, August 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2311.07430\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2024.aclweb.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/06\/21\/llm-based-frameworks-for-api-argument-filling-in-task-oriented-conversational-systems\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon, in <em>Proceedings of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) &#8211; Industry Track<\/em>, Mexico City, Mexico, June 2024.<br \/>\n<a href=\"https:\/\/aclanthology.org\/2024.naacl-industry.36.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2024.naacl-industry.36\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/05\/11\/entropy-is-not-enough-for-test-time-adaptation-from-the-perspective-of-disentangled-factors\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Entropy is not Enough for Test-time Adaptation: From the Perspective of Disentangled Factors<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jonghyun Lee*, Dahuin Jung*, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon, in <em>Proceedings of International Conference on Learning Representations (ICLR), <strong>Spotlight<\/strong><\/em>, Vienna, Austria, May 2024. [* equal contribution]<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2403.07366.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/iclr.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2403.07366\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/05\/10\/sfda2-source-free-domain-adaptation-through-the-lens-of-data-augmentation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >SF(DA)\u00b2: Source-free Domain Adaptation Through the Lens of Data Augmentation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon, in <em>Proceedings of International Conference on Learning Representations (ICLR)<\/em>, Vienna, Austria, May 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2403.10834.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/iclr.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2403.10834\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/05\/09\/dafa-distance-aware-fair-adversarial-training\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DAFA: Distance-Aware Fair Adversarial Training<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon, in <em>Proceedings of International Conference on Learning Representations (ICLR)<\/em>, Vienna, Austria, May 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2401.12532.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/iclr.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2401.12532\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/03\/18\/entity-level-factual-adaptiveness-of-fine-tuning-based-abstractive-summarization-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon, in <em>Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL)<\/em>, St. Julians, Malta, March 2024.<br \/>\n<a href=\"https:\/\/aclanthology.org\/2024.eacl-long.55.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2024.eacl-long.55\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2402.15162\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/03\/17\/groundial-human-norm-grounded-safe-dialog-response-generation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >GrounDial: Human-norm Grounded Safe Dialog Response Generation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon, in <em>Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL Findings)<\/em>, St. Julians, Malta, March 2024.<br \/>\n<a href=\"https:\/\/aclanthology.org\/2024.findings-eacl.109.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aclanthology.org\/2024.findings-eacl.109\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2402.08968\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-71ac78b3vl\">#pt-cv-view-beeb97armz .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-beeb97armz .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-beeb97armz .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-beeb97armz  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-beeb97armz  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-beeb97armz .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-beeb97armz .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-beeb97armz { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-b1d4c0f8c3\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/12\/01\/cross-modal-embedding-integrator-for-disease-geneprotein-association-prediction-using-a-multi-head-attention-mechanism\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Cross-modal embedding integrator for disease-gene\/protein association prediction using a multi-head attention mechanism<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Munyoung Chang, Junyong Ahn, Bong Gyun Kang, Sungroh Yoon, <em>Pharmacology Research &#038; Perspectives<\/em>, vol. 12, no. 6, e70034, December 2024.<br \/>\n<a href=\"https:\/\/bpspubs.onlinelibrary.wiley.com\/doi\/epdf\/10.1002\/prp2.70034\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/bpspubs.onlinelibrary.wiley.com\/doi\/full\/10.1002\/prp2.70034\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/12\/01\/data-driven-analysis-on-perovskite-solar-cell-devices\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Data-driven analysis on perovskite solar cell devices<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seung Un Lee, Yang Jeong Park, Jongbeom Kim, Jino Im, Sungroh Yoon, Sang Il Seok, <em>Current Applied Physics<\/em>, vol. 68, pp. 98-107, December 2024.<br \/>\n<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1567173924002037\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1567173924002037\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/11\/01\/machine-learning-of-metal-organic-framework-design-for-carbon-dioxide-capture-and-utilization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Machine learning of metal-organic framework design for carbon dioxide capture and utilization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yang Jeong Park, Sungroh Yoon, Seung Un Lee, <em>Journal of CO\u2082 Utilization<\/em>, vol. 89, p. 102941, November 2024.<br \/>\n<a href=\"https:\/\/pdf.sciencedirectassets.com\/283534\/1-s2.0-S2212982024X00104\/1-s2.0-S2212982024002762\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOD%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCPjpv5p81Z%2FhdMJ3tr0thcOhs5Ipzw41maqh3Xnfdt7AIhALVeS%2BdDk5LpdJtxb%2FgyKK1w7%2B%2Brm6EwcmIXseAjO2rHKrMFCGkQBRoMMDU5MDAzNTQ2ODY1Igz2aFgadjcEj6cfUV0qkAUrM9%2B1CHMCISzbqDvLafoYS%2FfE6fZAXXfuoGOeaul9NB8WxTMXJwQFPJV%2FjV2k6xJoOk8rAq9j9hCUCCmh7auCQOilT6PMP%2FGSmMBGxTvS7WrBjyJ54aDdClKpBHbb3VND%2BQdIKI04s9cGeXUn18xoiLefS7%2BPJzcAOg8tP12FJmB5qekp52kASZtO9h8PyFPG%2B56U975uErIh%2BX%2FK7KiDBiXtW7NXUHMdFtBO4u8C0uugkJcZsDl8PjIBY47xjvXQibPO4QOBM3BE0DUN20JRkRuo5fvpNesdRa9YKTVRNN%2BGs0NldXS7dnxgUDE9XJGRB1vhFP1kyRCcKIRraEqYu2%2BOv5Q6CoFwvTzfpzs1oM8Z%2FWoDsbSSG09YQTFAeQtAJOKa189tELEh7rDXxMomnCcVU6S2X3uzILa6fuq4C4ki1U6ExxFgMj2mdGO83bVnTEIWgsxQdD9ovrCqUrn2aaMnhB1FsgOYmCVqRteLkXQr%2FTH89EqVZDG8zfykJcIX9WlaMTiZGJxkoE%2FeQQPr50cDOFFz0IRlsxXIYm3ESu0qJri1CLs%2FO63LRTspTjkT2TrL639qEZlAUkJKT8NKCgBNjVaXdggEMTtQaXInJzy7trPOv4XLecdCeksxzZSzcuEwrhHloJ2o3grHXd5VxSvsChXs3ClhHnSlIWgaXtKC1QjchRZou8wAa8HrSN%2FHYC4xJpLH5Lpa3OJ%2FGpGth570StQq8MEq0fPuzmjwk3ICy0VSJpaSeQJG50obHULsq54HprOzu4I6Fjzx4gufm%2FHgn%2Bqg8wEAUvFbkwfA8ZxIO4gPN%2BYpgtiqGu%2B9GiaGiTRdKvoZZzrr823Am68Sc9YJnOhlp%2FUnXu3wE1SMDTDNvbq5BjqwAXSS9LzWR4MYP6wjM%2BF3wewbBFxSu1839IBcy2926vTlOdcJu9SPjbniuRLM7NeKKGO4Dd9DmQJBFYu1rvS52DUwZsslFICNsKu9LhuE5gVMckTtxn%2BVNsDZ5XdS4FaFEnGCQVdRcpj5nO62M3hFSPwtYtmsZ3DIy52qOSkKhV6W0QshFIVRMduFtKuXYNHriraj%2BwqXA2Of8nMPkmQR9KcAI8hot%2FoWSDxPamINQAyF&#038;X-Amz-Algorithm=AWS4-HMAC-SHA256&#038;X-Amz-Date=20241109T001354Z&#038;X-Amz-SignedHeaders=host&#038;X-Amz-Expires=300&#038;X-Amz-Credential=ASIAQ3PHCVTY7XAWF73P%2F20241109%2Fus-east-1%2Fs3%2Faws4_request&#038;X-Amz-Signature=ee5fc704d30b85e4f8cbf31369bd91e0bf0adec570cfa255947dc63020981c49&#038;hash=93d2fe33f9647d11005643ca9de98a4bb99292729acb43c496367dade59945c5&#038;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&#038;pii=S2212982024002762&#038;tid=spdf-1f5e39e5-e42a-46b1-b540-0d96960f6ac5&#038;sid=6e5b87013166554b9f292889b181c05c4c71gxrqa&#038;type=client&#038;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&#038;ua=0d105f02095e595d5305&#038;rr=8df9997c4f37307a&#038;cc=kr\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2212982024002762\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/09\/28\/1-5-million-materials-narratives-generated-by-chatbots-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >1.5 million materials narratives generated by chatbots<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yang Jeong Park, Sung Eun Jerng, Sungroh Yoon, Ju Li, <em>Scientific Data<\/em>, vol. 11, article no. 1060, September 2024.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s41597-024-03886-w.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s41597-024-03886-w\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2308.13687\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/03\/31\/anti-adversarially-manipulated-attributions-for-weakly-supervised-semantic-segmentation-and-object-localization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon, <em>IEEE Transactions on Pattern Analysis and Machine Intelligence<\/em>, vol. 46, no. 3, pp. 1618-1634, March 2024. [A preliminary version appeared in CVPR 2021, Nashville, USA, June 2021]<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9756329\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9756329\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/github.com\/jbeomlee93\/AdvCAM\" target=\"_blank\">github<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2021\/html\/Lee_Anti-Adversarially_Manipulated_Attributions_for_Weakly_and_Semi-Supervised_Semantic_Segmentation_CVPR_2021_paper.html\" target=\"_blank\">preliminary version<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/02\/01\/sample-efficient-adversarial-imitation-learning-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Sample-efficient Adversarial Imitation Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dahuin Jung, Hyungyu Lee, Sungroh Yoon, <em>Journal of Machine Learning Research (JMLR)<\/em>, vol. 25, no. 31, January 2024. [A preliminary version appeared in NeurIPS 2022 Workshop on Deep Reinforcement Learning Workshop, New Orleans, USA, December 2022]<br \/>\n<a href=\"https:\/\/www.jmlr.org\/papers\/volume25\/23-0314\/23-0314.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.jmlr.org\/papers\/v25\/23-0314.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2303.07846\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/01\/16\/mass-spectra-prediction-with-structural-motif-based-graph-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Mass Spectra Prediction with Structural Motif-based Graph Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jiwon Park, Jeonghee Jo, Sungroh Yoon, <em>Scientific Reports<\/em>, vol. 14, article no. 1400, January 2024.<br \/>\n<a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1038\/s41598-024-51760-x.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/link.springer.com\/article\/10.1038\/s41598-024-51760-x?utm_source=rct_congratemailt&amp;utm_medium=email&amp;utm_campaign=oa_20240116&amp;utm_content=10.1038\/s41598-024-51760-x\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2306.16085\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-bb02c9dpbn\">#pt-cv-view-b1d4c0f8c3 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-b1d4c0f8c3 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-b1d4c0f8c3 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b1d4c0f8c3  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-b1d4c0f8c3  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b1d4c0f8c3 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-b1d4c0f8c3 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b1d4c0f8c3 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-b999b29v9a\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/03\/08\/improving-diffusion-based-generative-models-via-approximated-optimal-transport\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Improving Diffusion-Based Generative Models via Approximated Optimal Transport<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon, arXiv:2403.05069 [cs.CV], March 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2403.05069.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2403.05069\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/02\/23\/entity-level-factual-adaptiveness-of-fine-tuning-based-abstractive-summarization-models-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune L Gwon, Sungroh Yoon, arXiv:2402.15162 [cs.CL], February 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2402.15162.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2402.15162\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/02\/14\/gradient-alignment-with-prototype-feature-for-fully-test-time-adaptation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Gradient Alignment with Prototype Feature for Fully Test-time Adaptation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon, arXiv:2402.09004 [cs.CV], February 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2402.09004.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2402.09004\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2024\/01\/19\/4280\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon, arXiv:2401.10526 [cs.CV], January 2024.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2401.10526.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2401.10526\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-c6d45831z8\">#pt-cv-view-b999b29v9a .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-b999b29v9a .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-b999b29v9a .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b999b29v9a  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-b999b29v9a  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b999b29v9a .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-b999b29v9a .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-b999b29v9a { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db413181\" data-id=\"6aa14db413181\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2023<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db413267\" data-id=\"6aa14db413267\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-3e98272kl8\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/12\/10\/propile-probing-privacy-leakage-in-large-language-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >ProPILE: Probing Privacy Leakage in Large Language Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS), <strong>Spotlight<\/strong><\/em>, New Orleans, USA, December 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2307.01881.pdf\" a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/virtual\/2023\/poster\/71697\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2307.01881\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/12\/10\/puca-patch-unshuffle-and-channel-attention-for-enhanced-self-supervised-image-denoising\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, New Orleans, USA, December 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2310.10088.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/virtual\/2023\/poster\/71574\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2310.10088\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/12\/10\/on-the-powerfulness-of-textual-outliers-for-visual-ood-detection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >On the Powerfulness of Textual Outliers for Visual OoD Detection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, New Orleans, USA, December 2023.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=090ORrOAPL\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/virtual\/2023\/poster\/73075\" target=\"_blank\">link<\/a>\u00a0\u00a0 <\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/12\/10\/clear-continual-learning-on-algorithmic-reasoning-for-human-like-intelligence\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, New Orleans, USA, December 2023.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=hz33V7Tb2O\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/virtual\/2023\/poster\/70758\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/12\/10\/4179\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungwon Kim, Kevin J. Shih, Rohan Badlani, Joao Felipe Santos, Evelina Bakhturina, Mikyas T. Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro, in <em>Proceedings of Conference on Neural Information Processing Systems (NeurIPS)<\/em>, New Orleans, USA, December 2023.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=zNA7u7wtIN\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/virtual\/2023\/poster\/69899\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/11\/20\/mg-mlp-multi-gated-mlp-for-restoring-images-from-spatially-variant-degradations\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaihyun Koh, Jaihyun Lew, Jangho Lee, Sungroh Yoon, in <em>Proceedings of British Machine Vision Conference (BMVC)<\/em>, Aberdeen, UK, November 2023.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/bmvc2023.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/11\/11\/edit-a-video-single-video-editing-with-object-aware-consistency-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Edit-A-Video: Single Video Editing with Object-Aware Consistency<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon, in <em>Proceedings of Asian Conference on Machine Learning (ACML)<\/em>, Istanbul, Turkey, November 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2303.07945.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.acml-conf.org\/2023\/index.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2303.07945\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/10\/02\/generating-instance-level-prompts-for-rehearsal-free-continual-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Generating Instance-level Prompts for Rehearsal-free Continual Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dahuin Jung et al., in <em>Proceedings of International Conference on Computer Vision (ICCV)<\/em>, Paris, France, October 2023.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/iccv2023.thecvf.com\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/08\/20\/speaker-adaptive-speech-synthesis-with-untranscribed-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Speaker-adaptive Speech Synthesis with Untranscribed Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon, in <em>Proceedings of the 24th Interspeech Conference (INTERSPEECH)<\/em>, Dublin, Ireland, August 2023.<br \/>\n<a href=\"https:\/\/www.interspeech2023.org\/\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.interspeech2023.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/www.interspeech2023.org\/\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/07\/23\/probabilistic-concept-bottleneck-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Probabilistic Concept Bottleneck Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Honolulu, USA, July 2023.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/2306.01574.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2306.01574\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/07\/23\/on-the-impact-of-knowledge-distillation-for-model-interpretability\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >On the Impact of Knowledge Distillation for Model Interpretability<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Honolulu, USA, July 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2305.15734.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2305.15734\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/07\/23\/improving-visual-prompt-tuning-for-self-supervised-vision-transformers\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Improving Visual Prompt Tuning for Self-supervised Vision Transformers<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Honolulu, USA, July 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2306.05067.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2306.05067\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/07\/09\/large-scale-lifelong-learning-of-in-context-instructions-and-how-to-tackle-it\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Large-scale Lifelong Learning of In-context Instructions and How to Tackle It<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon, in <em>Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, Toronto, Canada, July 2023.<br \/>\n<a href=\"https:\/\/2023.aclweb.org\/\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2023.aclweb.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/2023.aclweb.org\/\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/07\/08\/model-intrinsic-features-of-fine-tuning-based-text-summarization-models-for-factual-consistency\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune L. Gwon, Sungroh Yoon, in <em>Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, Toronto, Canada, July 2023.<br \/>\n<a href=\"https:\/\/2023.aclweb.org\/\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2023.aclweb.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/2023.aclweb.org\/\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/06\/18\/grounding-counterfactual-explanation-of-image-classifier-to-textual-concept-space\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Grounding Counterfactual Explanation of Image Classifier to Textual Concept Space<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Siwon Kim, Jinoh Oh, Sungjin Lee, Seunghak Yu, Jaeyoung Do, Tara Taghavi, in <em>Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, Vancouver Canada, June 2023.<br \/>\n<a target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/cvpr2023.thecvf.com\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/05\/02\/bigvgan-a-universal-neural-vocoder-with-large-scale-training\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >BigVGAN: A Universal Neural Vocoder with Large-Scale Training<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon, in <em>Proceedings of International Conference on Learning Representations (ICLR)<\/em>, Kigali, Rwanda, May 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2206.04658\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2206.04658\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/github.com\/NVIDIA\/BigVGAN\" target=\"_blank\">github<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/05\/01\/new-insights-for-the-stability-plasticity-dilemma-in-online-continual-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >New Insights for the Stability-Plasticity Dilemma in Online Continual Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon, in <em>Proceedings of International Conference on Learning Representations (ICLR)<\/em>, Kigali, Rwanda, May 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2302.08741.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2302.08741\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2302.08741\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/01\/03\/inducing-data-amplification-using-auxiliary-datasets-in-adversarial-training\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Saehyung Lee, Hyungyu Lee, in <em>Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)<\/em>, Hawaii, USA, 2023.<br \/>\n<a href=\"https:\/\/openaccess.thecvf.com\/content\/WACV2023\/papers\/Lee_Inducing_Data_Amplification_Using_Auxiliary_Datasets_in_Adversarial_Training_WACV_2023_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content\/WACV2023\/html\/Lee_Inducing_Data_Amplification_Using_Auxiliary_Datasets_in_Adversarial_Training_WACV_2023_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2209.14053\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-aaf71320qz\">#pt-cv-view-3e98272kl8 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-3e98272kl8 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-3e98272kl8 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-3e98272kl8  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-3e98272kl8  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-3e98272kl8 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-3e98272kl8 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-3e98272kl8 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-bb532b77q5\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/12\/05\/deep-contrastive-learning-of-molecular-conformation-for-efficient-property-prediction\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep Contrastive Learning of Molecular Conformation for Efficient Property Prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yang Jeong Park, HyunGi Kim, Jeonghee Jo, Sungroh Yoon, <em>Nature Computational Science<\/em>, https:\/\/doi.org\/10.1038\/s43588-023-00560-w, December 2023.<br \/>\n<a href=\"https:\/\/rdcu.be\/dsJN8\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s43588-023-00560-w\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/10\/23\/geot-a-geometry-aware-transformer-for-reliable-molecular-property-prediction-and-chemically-interpretable-representation-learning-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >GeoT: A Geometry-aware Transformer for Reliable Molecular Property Prediction and Chemically Interpretable Representation Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Bumju Kwak, Jiwon Park, Taewon Kang, Jeonghee Jo, Byunghan Lee, Sungroh Yoon, <em>ACS Omega<\/em>, vol. 8, no. 42, pp. 38773-39944, October 2023.<br \/>\n<a href=\"https:\/\/pubs.acs.org\/doi\/epdf\/10.1021\/acsomega.3c05753\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/pubs.acs.org\/journal\/acsodf\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.15516\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/10\/01\/real-world-prediction-of-preclinical-alzheimers-disease-with-a-deep-generative-model\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Real-world Prediction of Preclinical Alzheimer\u2019s Disease with a Deep Generative Model<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, SeungWook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon, <em>Artificial Intelligence in Medicine<\/em>, vol. 144, 102654, October 2023.<br \/>\n<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0933365723001689\/pdfft?md5=13b4b2e34594813c19a7be6a6a6520ad&#038;pid=1-s2.0-S0933365723001689-main.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0933365723001689\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/08\/01\/aivariant-a-deep-learning-based-somatic-variant-detector-for-highly-contaminated-tumor-samples\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >AIVariant: a deep learning based somatic variant detector for highly contaminated tumor samples<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeonseong Jeon, Junhak Ahn, Byunggook Na, Soona Hong, Sun Kim, Sungroh Yoon, Daehyun Baek, <em>Experimental &amp; Molecular Medicine<\/em>, https:\/\/doi.org\/10.1038\/s12276-023-01049-2, August 2023.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s12276-023-01049-2\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s12276-023-01049-2\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/06\/21\/deep-learning-based-prediction-for-significant-coronary-artery-stenosis-on-coronary-computed-tomography-angiography-in-asymptomatic-populations\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heesun Lee, Bong Gyun Kang, Jeonghee Jo, Hyo Eun Park, Sungroh Yoon, Su-Yeon Choi, Min J. Kim, <em>Frontiers in Cardiovascular Medicine<\/em>, doi: 10.3389\/fcvm.2023.1167468, June 2023.<br \/>\n<a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fcvm.2023.1167468\/abstract\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fcvm.2023.1167468\/abstract\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/05\/10\/improving-generalization-performance-of-electrocardiogram-classification-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Improving generalization performance of electrocardiogram classification models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeongrok Han, Seongjae Park, Seonwoo Min, Eunji Kim, HyunGi Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Hyun-Soo Choi, Sungroh Yoon, <em>Physiological Measurement<\/em>, vol. 44, no. 5, page 054003, May 2023.<br \/>\n<a href=\"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6579\/acb30f\/pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/iopscience.iop.org\/article\/10.1088\/1361-6579\/acb30f\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/04\/01\/robust-end-to-end-focal-liver-lesion-detection-using-unregistered-multiphase-computed-tomography-images\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon, <em>IEEE Transactions on Emerging Topics in Computational Intelligence<\/em>, vol. 7, no. 2, pp. 319-329, April 2023.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=9650690\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9650690\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2112.01535\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/01\/01\/pixelsteganalysis-pixel-wise-hidden-information-removal-with-low-visual-degradation-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon, <em>IEEE Transactions on Dependable and Secure Computing<\/em>, vol. 20, no. 1, pp. 331-342, January\/February 2023.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9640563\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9640563\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1902.10905\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-c438295dx3\">#pt-cv-view-bb532b77q5 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-bb532b77q5 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-bb532b77q5 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-bb532b77q5  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-bb532b77q5  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-bb532b77q5 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-bb532b77q5 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-bb532b77q5 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-27554aeknz\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/11\/16\/controlled-text-generation-for-black-box-language-models-via-score-based-progressive-editor\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon, arXiv:2311.07820 [cs.CL], November 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2311.07430.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2311.07430\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/11\/14\/on-the-analysis-of-cross-lingual-prompt-tuning-for-decoder-based-multilingual-model\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon, arXiv:2311.07820 [cs.CL], November 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2311.07820.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2311.07820\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/08\/25\/1-5-million-materials-narratives-generated-by-chatbots\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >1.5 million materials narratives generated by chatbots<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yang Jeong Park, Sung Eun Jerng, Jin-Sung Park, Choah Kwon, Chia-Wei Hsu, Zhichu Ren, Sungroh Yoon, Ju Li, arXiv:2308.13687 [cond-mat.mtrl-sci, cs.CL], August 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2308.13687.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2308.13687\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/05\/30\/diffusion-stego-training-free-diffusion-generative-steganography-via-message-projection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon, arXiv:2305.18726 [cs.CV], May 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2305.18726.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2305.18726\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2023\/05\/25\/custom-edit-text-guided-image-editing-with-customized-diffusion-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon, arXiv:2305.15779 [cs.CV], May 2023.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2305.15779.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2305.15779\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-c06ef7f25f\">#pt-cv-view-27554aeknz .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-27554aeknz .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-27554aeknz .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-27554aeknz  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-27554aeknz  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-27554aeknz .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-27554aeknz .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-27554aeknz { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4133cf\" data-id=\"6aa14db4133cf\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2022<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4134b0\" data-id=\"6aa14db4134b0\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-86d7747xfb\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/12\/09\/sample-efficient-adversarial-imitation-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Sample-efficient Adversarial Imitation Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dahuin Jung, Hyungyu Lee, Sungroh Yoon, Deep Reinforcement Learning Workshop at NeurIPS 2022, December 2022.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=hxhoheCtUNn\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/openreview.net\/forum?id=hxhoheCtUNn\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/11\/21\/membership-privacy-preserving-gan\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Membership Privacy-preserving GAN<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon, in <em>Proceedigns of the 33rd British Machine Vision Conference (BMVC)<\/em>, London, UK, November 2022.<br \/>\n<a href=\"https:\/\/bmvc2022.mpi-inf.mpg.de\/0576.pdf\" target=\"_blank\">paper<\/a>  <a href=\"https:\/\/bmvc2022.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/08\/29\/fedclassavg-local-representation-learning-for-personalized-federated-learning-on-heterogeneous-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >FedClassAvg: Local representation learning for personalized federated learning on heterogeneous neural networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaehee Jang, Heoneok Ha, Dahuin Jung, Sungroh Yoon, in <em>Proceedings of the 51st International Conference on Parallel Processing (ICPP)<\/em>, article no. 76, pp. 1-10, August 2022.<br \/>\n<a href=\"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3545008.3545073\" a target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3545008.3545073\" a target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/08\/21\/cross-modal-temporal-semantic-alignment-for-audio-visual-event-localization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Cross-Modal Temporal Semantic Alignment for Audio-Visual Event Localization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jangho Lee, Jungbeom Lee, Jaihyun Koh, Sungroh Yoon, in <em>Proceedings of 26th International Conference on Pattern Recognition (ICPR)<\/em>, Montreal, Canada, August 2022.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.icpr2022.com\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/08\/21\/rethinking-masked-samples-in-class-imbalanced-semi-supervised-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Rethinking Masked Samples in Class-Imbalanced Semi-Supervised Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jangho Lee, Jaihyun Koh, Seungryong Yoo, Sungroh Yoon, in <em>Proceedings of 26th International Conference on Pattern Recognition (ICPR)<\/em>, Montreal, Canada, August 2022.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.icpr2022.com\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/07\/17\/autosnn-towards-energy-efficient-spiking-neural-networks-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >AutoSNN: Towards Energy-Efficient Spiking Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Baltimore, USA, July 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2201.12738.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2201.12738\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/07\/17\/guided-tts-a-diffusion-model-for-text-to-speech-via-classifier-guidance\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heeseung Kim*, Sungwon Kim*, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML), <strong>Spotlight<\/strong><\/em>, Baltimore, USA, July 2022. [* equal contribution]<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2111.11755.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2111.11755\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/07\/17\/confidence-score-for-source-free-unsupervised-domain-adaptation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Confidence Score for Source-Free Unsupervised Domain Adaptation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Baltimore, USA, July 2022.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" a target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/07\/17\/dataset-condensation-with-contrastive-signals-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Dataset Condensation with Contrastive Signals<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Baltimore, USA, July 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2202.02916.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/icml.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2202.02916\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/07\/01\/prediction-of-mortality-and-intervention-in-covid-19-patients-using-generative-adversarial-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon, in <em>Proceedings of ICML 2022 Workshop on Healthcare AI and COVID-19<\/em>, PMLR vol. 184, pp. 91-99, July 2022.<br \/>\n<a href=\"https:\/\/proceedings.mlr.press\/v184\/hwang22a\/hwang22a.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/proceedings.mlr.press\/v184\/hwang22a\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/06\/20\/bnudc-a-two-branched-deep-neural-network-for-restoring-images-from-under-display-cameras\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaihyun Koh, Jangho Lee, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, New Orleans, USA, June 2022.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/cvpr2022.thecvf.com\/\" a target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/06\/20\/perception-prioritized-training-of-diffusion-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Perception Prioritized Training of Diffusion Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, New Orleans, USA, June 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2204.00227.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/cvpr2022.thecvf.com\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2204.00227\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/github.com\/jychoi118\/P2-weighting\" target=\"_blank\">github<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/06\/20\/bridging-the-gap-between-classification-and-localization-by-aligning-feature-directions-for-weakly-supervised-object-localization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, New Orleans, USA, June 2022.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/2204.00220.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/cvpr2022.thecvf.com\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2204.00220\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/06\/20\/weakly-supervised-semantic-segmentation-using-out-of-distribution-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Weakly Supervised Semantic Segmentation using Out-of-Distribution Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, New Orleans, USA, June 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2203.03860\" a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/cvpr2022.thecvf.com\/\" a target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2203.03860\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/06\/20\/demystifying-the-neural-tangent-kernel-from-a-practical-perspective-can-it-be-trusted-for-neural-architecture-search-without-training\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, New Orleans, USA, June 2022.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/cvpr2022.thecvf.com\/\" a target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/05\/30\/rare-tokens-degenerate-all-tokens-improving-neural-text-generation-via-adaptive-gradient-gating-for-rare-token-embeddings\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon, in <em>Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL)<\/em>, Dublin, Ireland, May 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2109.03127.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.2022.aclweb.org\/\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/2109.03127\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/05\/30\/membership-feature-disentanglement-network\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Membership Feature Disentanglement Network<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heonseok Ha, Jaehee Jang, Yonghyun Jeong, Sungroh Yoon, in <em>Proceedings of the 17th ACM ASIA Conference on Computer<br \/>\nand Communications Security (AsiaCCS 2022)<\/em>, Nagasaki, Japan, May 2022.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/asiaccs2022.conferenceservice.jp\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/05\/30\/privacy-preserving-deep-sequential-model-with-matrix-homomorphic-encryption\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Privacy-Preserving Deep Sequential Model with Matrix   Homomorphic Encryption<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaehee Jang, Andrey Kim, Byunggook Na, Younho Lee, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon, in <em>Proceedings of the 17th ACM ASIA Conference on Computer and Communications Security (AsiaCCS 2022)<\/em>, Nagasaki, Japan, May 2022.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/asiaccs2022.conferenceservice.jp\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/05\/13\/a-light-and-fast-branched-neural-network-using-perceptual-optimization-for-high-quality-visual-restoration-of-udc-images\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A Light and Fast Branched Neural Network using Perceptual Optimization for High-Quality Visual Restoration of UDC Images<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaihyun Koh, Jangho Lee, Junghoon Kim, Youngwook Yoo, Bonghyun You, Sungroh Yoon, in <em>Proceedings of Society for Information Display (SID) Display Week Symposium<\/em>, San Jose, USA, May 2022.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/www.displayweek.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/04\/25\/stein-latent-optimization-for-generative-adversarial-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Stein Latent Optimization for Generative Adversarial Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon, in\u00a0<em>Proceedings of International Conference on Learning Representations (ICLR)<\/em>, April 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2106.05319\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/iclr.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.05319\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/04\/25\/priorgrad-improving-conditional-denoising-diffusion-models-with-data-dependent-adaptive-prior\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu, in\u00a0<em>Proceedings of International Conference on Learning Representations (ICLR)<\/em>, April 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2106.06406\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/iclr.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.06406\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/02\/22\/towards-a-rigorous-evaluation-of-time-series-anomaly-detection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Towards a Rigorous Evaluation of Time-series Anomaly Detection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon , in <em>Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI)<\/em>, Vancouver, Canada, February 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2109.05257.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/aaai.org\/Conferences\/AAAI-22\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2109.05257\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-2ab97614ox\">#pt-cv-view-86d7747xfb .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-86d7747xfb .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-86d7747xfb .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-86d7747xfb  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-86d7747xfb  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-86d7747xfb .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-86d7747xfb .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-86d7747xfb { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-f1991f3vtj\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/11\/22\/silent-speech-recognition-with-strain-sensors-and-deep-learning-analysis-of-directional-facial-muscle-movement\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Silent Speech Recognition with Strain Sensors and Deep Learning Analysis of Directional Facial Muscle Movement<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyunjun Yoo, Eunji Kim, Jong Won Chung, Hyeon Cho, Sujin Jeong, Heeseung Kim, Dongju Jang, Hayun Kim, Jinsu Yoon, Gae Hwang Lee, Hyunbum Kang, Joo-Young Kim, Youngjun Yun, Sungroh Yoon, Yongtaek Hong, <em>ACS Applied Materials &#038; Interfaces<\/em>, vol. 14, no. 48, pp. 54157-54169, November 2022.<br \/>\n<a href=\"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acsami.2c14918\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acsami.2c14918\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/11\/16\/brain-inspired-predictive-coding-improves-the-performance-of-machine-challenging-tasks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jangho Lee, Jeonghee Jo, Byounghwa Lee, Jung-Hoon Lee, Sungroh Yoon, <em>Frontiers in Computational Neuroscience<\/em>, DOI:10.3389\/fncom.2022.1062678, November 2022.<br \/>\n<a href=\"https:\/\/www.proquest.com\/docview\/2736913250?pq-origsite=gscholar&#038;fromopenview=true\" target=\"_blank\">paper<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/08\/01\/imbalanced-data-classification-via-cooperative-interaction-between-classifier-and-generator\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Imbalanced Data Classification via Cooperative Interaction between Classifier and Generator<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon, <em>IEEE Transactions on Neural Networks and Learning Systems<\/em>, vol. 33, no. 8, August 2022.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9344656\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9344656\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/08\/01\/a-data-embedding-scheme-for-efficient-program-behavior-modeling-with-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Data Embedding Scheme for Efficient Program Behavior Modeling with Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek, <em>IEEE Transactions on Emerging Topics in Computational Intelligence<\/em>, vol. 6, no. 4, August 2022.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9772749\" a target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9772749\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/03\/01\/dna-privacy-analyzing-malicious-dna-sequences-using-deep-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon, <em>IEEE Transactions on Computational Biology and Bioinformatics<\/em>, vol. 19, no. 2, March\/April 2022.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9170842\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9170842\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/02\/08\/flexible-dual-branched-message-passing-neural-network-for-molecular-property-prediction\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Flexible dual-branched message passing neural network for molecular property prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jeonghee Jo, Bumju Kwak, Byunghan Lee, Sungroh Yoon, <em>ACS Omega<\/em>, vol. 7, no. 5, pp. 4234-4244, February 2022.<br \/>\n<a href=\"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acsomega.1c05877\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/pubs.acs.org\/pb-assets\/images\/_journalCovers\/acsodf\/acsodf_v007i005-3.jpg?0.948372174251888\" target=\"_blank\">cover image<\/a>\u00a0\u00a0<a href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acsomega.1c05877\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.07273\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/02\/01\/targetnet-functional-microrna-target-prediction-with-deep-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >TargetNet: Functional microRNA Target Prediction with Deep Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seonwoo Min, Byunghan Lee, Sungroh Yoon, <em>Bioinformatics<\/em>, vol. 38, no. 3, pp. 671-677, February 2022.<br \/>\n<a href=\"https:\/\/academic.oup.com\/bioinformatics\/article\/38\/3\/671\/6408435\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/academic.oup.com\/bioinformatics\/article\/38\/3\/671\/6408435\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/01\/10\/prediction-of-clinically-significant-prostate-cancer-using-polygenic-risk-models-in-asians\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Prediction of clinically significant prostate cancer using polygenic risk models in Asians<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sang Hun Song, Eunae Kim, Eunjin Woo, Eunkyung Kwon, Sungroh Yoon, Jung Kwon Kim, Hakmin Lee, Jong Jin Oh, Sangchul Lee, Sung Kyu Hong, Seok-Soo Byun, <em>Investigative and Clinical Urology<\/em>,\u00a0vol. 63, no. 1, pp. 42-52, January 2022.<br \/>\n<a href=\"https:\/\/www.icurology.org\/pdf\/10.4111\/icu.20210305\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.icurology.org\/DOIx.php?id=10.4111\/icu.20210305\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-cfe8091cp6\">#pt-cv-view-f1991f3vtj .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-f1991f3vtj .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-f1991f3vtj .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f1991f3vtj  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-f1991f3vtj  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f1991f3vtj .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-f1991f3vtj .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f1991f3vtj { text-align: left !important; }<\/style>\r\n\t\t\t\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-4183972vay\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/06\/10\/out-of-sight-out-of-mind-a-source-view-wise-feature-aggregation-for-multi-view-image-based-rendering\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Geonho Cha, Chaehun Shin, Sungroh Yoon, Dongyoon Wee, arXiv:2206.04906 [cs.CV], June 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2206.04906.pdf\" a target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2206.04906\" a target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2022\/05\/30\/guided-tts-2-a-diffusion-model-for-high-quality-adaptive-text-to-speech-with-untranscribed-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungwon Kim, Heeseung Kim, Sungroh Yoon, arXiv:2205.15370 [cs.SD], May 2022.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2205.15370\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2205.15370\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/ksw0306.github.io\/guided-tts2-demo\/\" target=\"_blank\">demo<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-363ec56dvx\">#pt-cv-view-4183972vay .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-4183972vay .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-4183972vay .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-4183972vay  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-4183972vay  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-4183972vay .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-4183972vay .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-4183972vay { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4135e8\" data-id=\"6aa14db4135e8\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2021<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4136b9\" data-id=\"6aa14db4136b9\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-8cf3036ya7\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/12\/06\/reducing-information-bottleneck-for-weakly-supervised-semantic-segmentation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon, in <em>Proceedings of the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS)<\/em>, Virtual, December 2021.<br \/>\n<a href=\"http:\/\/arxiv.org\/abs\/2110.06530\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2110.06530\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/github.com\/jbeomlee93\/RIB\" target=\"_blank\">code<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/12\/05\/noise-robust-deep-spiking-neural-networks-with-temporal-information\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Noise-Robust Deep Spiking Neural Networks with Temporal Information<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Dongjin Lee, Sungroh Yoon, in <em>Proceedings of Design Automation Conference (DAC)<\/em>, San Francisco, USA, December 2021.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.dac.com\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2104.11169\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/11\/22\/variance-stationary-differentiable-nas\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Variance-stationary Differentiable NAS<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon, in <em>Proceedings of the British Machine Vision Conference (BMVC)<\/em>, Virtual, November 2021.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/britishmachinevisionassociation.github.io\/bmvc\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/11\/07\/alignart-non-autoregressive-neural-machine-translation-by-jointly-learning-to-estimate-alignment-and-translate\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongyoon Song, Sungwon Kim, Sungroh Yoon, in <em>Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)<\/em>, Punta Cana, Dominican Republic, November 2021.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2021.emnlp.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/10\/11\/ilvr-conditioning-method-for-denoising-diffusion-probabilistic-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon, in <em>Proceedings of International Conference on Computer Vision (ICCV)<\/em>, <strong><em>Oral Presentation<\/em><\/strong>, Virtual, October 2021.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/iccv2021.thecvf.com\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2108.02938\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/github.com\/jychoi118\/ilvr_adm\" target=\"_blank\">github<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/10\/11\/advrush-searching-for-adversarially-robust-neural-architectures\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >AdvRush: Searching for Adversarially Robust Neural Architectures<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon, in <em>Proceedings of International Conference on Computer Vision (ICCV)<\/em>, Virtual, October 2021.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/iccv2021.thecvf.com\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2108.01289\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/10\/11\/toward-spatially-unbiased-generative-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Toward Spatially Unbiased Generative Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon, in <em>Proceedings of International Conference on Computer Vision (ICCV)<\/em>, Virtual, October 2021.<br \/>\n<a target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/iccv2021.thecvf.com\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2108.01285\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/github.com\/jychoi118\/toward_spatial_unbiased\" target=\"_blank\">github<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/09\/13\/towards-high-generalization-performance-on-electrocardiogram-classification\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Towards High Generalization Performance on Electrocardiogram Classification<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Sungroh Yoon, in <em>Proceedings of Computing in Cardiology (CinC)<\/em>, pp. 1-4, doi: 10.23919\/CinC53138.2021.9662737, Brno, Czech Republic, September 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9662737\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.cinc2021.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/08\/21\/accelerating-neural-architecture-search-via-proxy-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Accelerating Neural Architecture Search via Proxy Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon, in <em>Proceedings of The 30th International Joint Conference on Artificial Intelligence (IJCAI)<\/em>, Montreal-themed Virtual Reality, August 2021.<br \/>\n<a target=\"_blank\">preprint\u00a0\u00a0<\/a><a href=\"https:\/\/ijcai-21.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.04784\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/06\/25\/anti-adversarially-manipulated-attributions-for-weakly-and-semi-supervised-semantic-segmentation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Eunji Kim, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, Nashville, USA, June 2021.<br \/>\n<a target=\"_blank\">paper<\/a>\u00a0\u00a0<a target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2103.08896\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/github.com\/jbeomlee93\/AdvCAM\" target=\"_blank\">github<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/06\/25\/xprotonet-diagnosis-in-chest-radiography-with-global-and-local-explanations\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <strong>Oral Presentation<\/strong><\/em>, Nashville, USA, June 2021.<br \/>\n<a href=\"\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2103.10663\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/06\/25\/bbam-bounding-box-attribution-map-for-weakly-supervised-semantic-and-instance-segmentation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, Nashville, USA, June 2021.<br \/>\n<a href=\"\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2103.08907\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/05\/23\/personalized-face-authentication-based-on-few-shot-meta-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Personalized Face Authentication Based on Few-Shot Meta-Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon, in <em>Proceedings of the 2021 IEEE International Conference on Image Processing (ICIP)<\/em>, Alaska, USA, September 2021.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2021.ieeeicip.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/05\/04\/removing-undesirable-feature-contributions-using-out-of-distribution-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Removing Undesirable Feature Contributions Using Out-of-Distribution Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon, in\u00a0<em>Proceedings of International Conference on Learning Representations (ICLR)<\/em>, May 2021.<br \/>\n<a href=\"https:\/\/openreview.net\/pdf?id=eIHYL6fpbkA\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/openreview.net\/forum?id=eIHYL6fpbkA\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2101.06639\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-892e409o5q\">#pt-cv-view-8cf3036ya7 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-8cf3036ya7 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-8cf3036ya7 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-8cf3036ya7  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-8cf3036ya7  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-8cf3036ya7 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-8cf3036ya7 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-8cf3036ya7 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-820fd140me\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/12\/01\/selected-papers-arxiv-2015-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >NASCUP: Nucleic Acid Sequence Classification by Universal Probability<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Jongsik Chun, Sungroh Yoon, and Young-Han Kim, <em>IEEE Access<\/em>, in press. [A preliminary version appeared in <em>2016 RECOMB-Seq (Massively Parallel Sequencing)<\/em>, Los Angeles, USA, April 2016]<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/1511.04944\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/nascup\/\" target=\"_blank\">suppl<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1511.04944\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/09\/23\/generation-of-a-more-efficient-prime-editor-2-by-addition-of-the-rad51-dna-binding-domain\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Generation of a more efficient prime editor 2 by addition of the Rad51 DNA-binding domain<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Myungjae Song, Jung Min Lim, Seonwoo Min, Jeong-Seok Oh, Dong Young Kim, Jae-Sung Woo, Hiroshi Nishimasu, Sung-Rae Cho, Sungroh Yoon, Hyongbum Henry Kim, <em>Nature Communications<\/em> 12, 5617, September 2021.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s41467-021-25928-2.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s41467-021-25928-2\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/09\/07\/deep-learning-for-anomaly-detection-in-time-series-data-review-analysis-and-guidelines\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Kukjin Choi, Jihun Yi, Changhwa Park, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 9, pp. 120043-120065, September 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=9523565\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9523565\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/09\/03\/pre-training-of-deep-bidirectional-protein-sequence-representations-with-structural-information-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Pre-training of Deep Bidirectional Protein Sequence Representations with Structural Information<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 9, pp. 123912-123926, September 2021.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1912.05625.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/xpl\/RecentIssue.jsp?punumber=6287639\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1912.05625\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/08\/12\/learn2evade-learning-based-generative-model-for-evading-pdf-malware-classifiers\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Learn2Evade: Learning-based Generative Model for Evading PDF Malware Classifiers<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek, in <em>IEEE Transactions on Artificial Intelligence<\/em>, vol. 2, no. 4, pp. 299-313, August 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9512394\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9512394\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/08\/01\/feature-concentration-for-supervised-and-semi-supervised-learning-with-unbalanced-datasets-in-visual-inspection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Feature Concentration for Supervised and Semi-supervised Learning with Unbalanced  Datasets in Visual Inspection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jiyong Jang, Sungroh Yoon, <em>IEEE Transactions on Industrial Electronics<\/em>, vol. 68, no. 8, pp. 7620-7630, August 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9126207\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9126207\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/07\/01\/compensating-non-uniform-oled-pixel-brightness-in-a-vertical-blanking-interval-by-learning-tft-characteristics\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Compensating Non-uniform OLED Pixel Brightness in a Vertical Blanking Interval by Learning TFT Characteristics<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaihyun Koh, Kyeongsoo Kang, Chaehun Shin, Soo-Yeon Lee, Sungroh Yoon, <em>IEEE Transactions on Electron Devices<\/em>, vol. 68, no. 7, pp. 3396-3402, July 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9437473\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9437473\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/06\/01\/mugan-multi-gpu-accelerated-ampliconnoise-server-for-rapid-microbial-diversity-assessment\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >MUGAN: Multi-GPU Accelerated AmpliconNoise Server for Rapid Microbial Diversity Assessment<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byunghan Lee, Hyeyoung Min, and Sungroh Yoon, <em>Bioinformatics<\/em>, vol. 37, no. 11, pp. 1562-1570, June 2021.<br \/>\n<a href=\"https:\/\/academic.oup.com\/bioinformatics\/advance-article-pdf\/doi\/10.1093\/bioinformatics\/bty096\/24269001\/bty096.pdf?guestAccessKey=fff3fff9-4d3f-4421-a8aa-8b10279028bc\" target=\"_blank\">paper<\/a>\u00a0\u00a0 <a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/bty096\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/05\/18\/protein-transfer-learning-improves-identification-of-heat-shock-protein-families\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Protein transfer learning improves identification of heat shock protein families<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seonwoo Min, HyunGi Kim, Byunghan Lee, Sungroh Yoon, <em>PLOS One<\/em>, vol. 16, no. 5, pp. 1-14, May 2021.<br \/>\n<a href=\"https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0251865\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0251865\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/05\/01\/learned-embeddings-from-deep-learning-to-visualize-and-predict-protein-sets\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Learned embeddings from deep learning to visualize and predict protein sets<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Christian Dallago, Konstantin Sch\u00fctze, Michael Heinzinger, Tobias Olenyi, Maria Littmann, Amy X Lu, Kevin K Yang, Seonwoo Min, Sungroh Yoon, James T Morton, Burkhard Rost, <em>Current Protocols<\/em>, vol. 1, no. 5, p. e113, May 2021.<br \/>\n<a href=\"https:\/\/currentprotocols.onlinelibrary.wiley.com\/doi\/epdf\/10.1002\/cpz1.113\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/currentprotocols.onlinelibrary.wiley.com\/doi\/10.1002\/cpz1.113\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/02\/28\/predicting-the-efficiency-of-prime-editing-guide-rnas-in-human-cells\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Predicting the efficiency of prime-editing guide RNAs in human cells<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hui Kwon Kim, GooSang Yu, Jinman Park, Seonwoo Min, Sungtae Lee, Sungroh Yoon, Hyongbum Henry Kim, <em>Nature Biotechnology<\/em>, vol. 39, pp. 198-206, February 2021.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s41587-020-0677-y.pdf\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s41587-020-0677-y\" target=\"_blank\">link<\/a>\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/02\/18\/recording-of-elapsed-time-and-temporal-information-about-biological-events-using-cas9\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Recording of elapsed time and temporal information about biological events using Cas9<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jihye Park, Jung Min Lim, Seok Jae Heo, Jinman Park, Yoojin Chang, Hui Kwon Kim, Dongmin Jung, Ji Hea Yu,\u00a0 Seonwoo Min, Sungroh Yoon, Sung-Rae Cho , Inkyung Jung, Taeyoung Park , Hyongbum Henry Kim, <em>Cell<\/em>, vol. 184, no. 4, pp. 1047-1063.e23, February 2021.<br \/>\n<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0092867421000143\/pdfft?md5=b716394e1b7f1deb0b893fe034d67f97&#038;pid=1-s2.0-S0092867421000143-main.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0092867421000143?dgcid=rss_sd_all\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/02\/15\/single-image-deblurring-with-neural-networks-a-comparative-survey\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Single-Image Deblurring with Neural Networks: A Comparative Survey<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaihyun Koh, Jangho Lee, Sungroh Yoon, <em>Computer Vision and Image Understanding<\/em>, vol. 203, p. 103134, February 2021.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2021\/01\/cviu2021.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1077314220301533\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/01\/14\/gradient-masking-of-label-smoothing-in-adversarial-robustness\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Gradient Masking of Label Smoothing in Adversarial Robustness<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyungyu Lee, Ho Bae, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 9, pp. 6453-6464, January 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9311250\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9311250\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/01\/06\/towards-fast-and-accurate-object-detection-in-bio-inspired-spiking-neural-networks-through-bayesian-optimization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Towards fast and accurate object detection in bio-inspired spiking neural networks through Bayesian optimization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seijoon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 9, pp. 2633-2643, January 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9306772\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9306772\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/01\/03\/memory-augmented-neural-networks-on-fpga-for-real-time-and-energy-efficient-question-answering\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Jaehee Jang, Seijoon Kim, Byunggook Na, Sungroh Yoon, <em>IEEE Transactions on Very Large Scale (VLSI) Integration Systems<\/em>, vol. 29, no. 1, pp. 162-175, January 2021.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9269453\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9269453\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-ca7e4edqo9\">#pt-cv-view-820fd140me .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-820fd140me .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-820fd140me .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-820fd140me  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-820fd140me  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-820fd140me .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-820fd140me .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-820fd140me { text-align: left !important; }<\/style>\r\n\t\t\t\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-5a92cf2nyz\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/10\/02\/ficgan-facial-identity-controllable-gan-for-de-identification\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >FICGAN: Facial Identity Controllable GAN for De-identification<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon, arXiv:2110.00740 [cs.CV], October 2021.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2110.00740\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2110.00740\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/06\/29\/geometry-aware-transformer-for-molecular-property-prediction\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Geometry-aware Transformer for molecular property prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Bumju Kwak, Jeonghee Jo, Byunghan Lee, Sungroh Yoon, arXiv:2106.15516 [cs.LG], June 2021.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2106.15516\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.15516\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2021\/06\/07\/training-energy-efficient-deep-spiking-neural-networks-with-time-to-first-spike-coding\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Sungroh Yoon, arXiv:2106.02568 [cs.NE], June 2021.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2106.02568\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2106.02568\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-ed30c75p5h\">#pt-cv-view-5a92cf2nyz .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-5a92cf2nyz .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-5a92cf2nyz .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-5a92cf2nyz  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-5a92cf2nyz  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-5a92cf2nyz .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-5a92cf2nyz .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-5a92cf2nyz { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4137e0\" data-id=\"6aa14db4137e0\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2020<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4138a7\" data-id=\"6aa14db4138a7\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-098fdaaezf\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/12\/06\/glow-tts-a-generative-flow-for-text-to-speech-via-monotonic-alignment-search-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon, in\u00a0<em>Proceedings of Neural Information Processing Systems (NeurIPS), <strong>Oral Presentation<\/strong><\/em>, December 2020.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2005.11129\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2005.11129\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/bit.ly\/2LD7O9a\" target=\"_blank\">code<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/12\/06\/nanoflow-scalable-normalizing-flows-with-sublinear-parameter-complexity\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sang-gil Lee, Sungwon Kim, Sungroh Yoon, in\u00a0<em>Proceedings of Neural Information Processing Systems (NeurIPS)<\/em>, December 2020.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2006.06280\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/neurips.cc\/\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/2006.06280\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/11\/16\/interpretation-of-nlp-models-through-input-marginalization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Interpretation of NLP models through input marginalization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon, in\u00a0<em>Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP)<\/em>, November 2020.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2010.13984.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/2020.emnlp.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/2010.13984\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/09\/17\/patch-svdd-patch-level-svdd-for-anomaly-detection-and-segmentation-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jihun Yi, Sungroh Yoon, in\u00a0<em>Proceedings of Asian Conference on Computer Vision (ACCV)<\/em>, November 2020.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2006.16067.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/accv2020.kyoto\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2006.16067\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/09\/13\/bag-of-tricks-for-electrocardiogram-classification-with-deep-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim,  Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon, in <em>Proceedings of Computing in Cardiology<\/em>, vol. 47, pp. 1-4, Rimini, Italy, September 2020.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9344302\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/9344302\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/08\/23\/icaps-an-interpretable-classifier-via-disentangled-capsule-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >iCaps: An Interpretable Classifier via Disentangled Capsule Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon, in <em>Proceedings of European Conference on Computer Vision (ECCV)<\/em>, Glasgow, UK, August 2020.<br \/>\n<a href=\"https:\/\/www.ecva.net\/papers\/eccv_2020\/papers_ECCV\/papers\/123640307.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2020\/09\/3215-long_video-slides.pdf\" target=\"_blank\">slides<\/a>\u00a0\u00a0 <a href=\"https:\/\/eccv2020.eu\/\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/2008.08756\" target=\"_blank\">arxiv<\/a>\u00a0 <a href=\"https:\/\/www.ecva.net\/papers\/eccv_2020\/papers_ECCV\/papers\/123640307-supp.pdf\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/08\/03\/self-supervised-perceptual-motion-deblurring-using-a-conditional-generative-neural-network-guided-by-optical-flow\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Self-supervised Perceptual Motion Deblurring using a Conditional Generative Neural Network Guided by Optical Flow<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaihyun Koh, Sungroh Yoon, in <em>Proceedings of Society for Information Display (SID) Display Week Symposium<\/em>, San Jose, USA, August 2020.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2020\/02\/SID_Self-supervised_Perceptual_Motion_Deblurring_using_a_Conditional_Generative_Neural_Network_Guided_by_Optical_Flow_camera_ready.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/www.displayweek.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/07\/20\/blood-pressure-prediction-by-a-smartphone-sensor-using-fully-convolutional-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon, in <em>Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)<\/em>, Montreal, Canada, July 2020.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/embc.embs.org\/2020\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/07\/20\/improving-the-accuracy-of-blood-pressure-prediction-by-distilling-the-knowledge-of-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Improving the accuracy of blood pressure prediction by distilling the knowledge of neural networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sanghyun Baek, Byunghan Lee, Sungroh Yoon, in <em>Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)<\/em>, Montreal, Canada, July 2020.<br \/>\n<a href=\"\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/embc.embs.org\/2020\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/07\/19\/t2fsnn-deep-spiking-neural-networks-with-time-to-first-spike-coding\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Seijoon Kim, Byunggook Na, Sungroh Yoon, in <em>Proceedings of Design Automation Conference (DAC)<\/em>, San Francisco, USA, July 2020.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2020\/07\/DAC2020.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.dac.com\/content\/2020-dac-accepted-papers\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/06\/16\/adversarial-vertex-mixup-toward-better-adversarially-robust-generalization\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Saehyung Lee, Hyungyu Lee, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <strong>Oral Presentation<\/strong><\/em>, pp. 272-281, Seattle, USA, June 2020.<br \/>\n<a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2020\/papers\/Lee_Adversarial_Vertex_Mixup_Toward_Better_Adversarially_Robust_Generalization_CVPR_2020_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2020\/05\/CVPR_20_presentation.pdf\" target=\"_blank\">slides<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2020\/html\/Lee_Adversarial_Vertex_Mixup_Toward_Better_Adversarially_Robust_Generalization_CVPR_2020_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/pdf\/2003.02484.pdf\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/openaccess.thecvf.com\/content_CVPR_2020\/supplemental\/Lee_Adversarial_Vertex_Mixup_CVPR_2020_supplemental.pdf\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/05\/04\/automated-facies-identification-using-unsupervised-clustering\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Automated facies identification using unsupervised clustering<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Youngjun Hong, Shinjo Wang, Jeehoon Bae, Jaeyoon Yoo, Sungroh Yoon, <em>Offshore Technology Conference (OTC)<\/em>, Houston, USA, May 2020.<br \/>\n<a href=\"https:\/\/www.onepetro.org\/download\/conference-paper\/OTC-30773-MS?id=conference-paper%2FOTC-30773-MS\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.onepetro.org\/conference-paper\/OTC-30773-MS\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/03\/09\/energy-aware-placement-for-sram-nvm-hybrid-fpgas\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Energy-aware Placement for SRAM-NVM Hybrid FPGAs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Jongwan Kim, Sungroh Yoon, in <em>Proceedings of Design, Automation and Test in Europe (DATE)<\/em>, pp. 858-863, Grenoble, France, March 2020.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9116487\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9116487\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/02\/10\/spiking-yolo-spiking-neural-network-for-energy-efficient-object-detection\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Spiking-YOLO: Spiking Neural Network for Energy-efficient Object Detection<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seijoon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon, in <em>Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI)<\/em>,  vol. 34, no. 7, pp. 11270-11277, New York, USA, February 2020.<br \/>\n<a href=\"https:\/\/aaai.org\/ojs\/index.php\/AAAI\/article\/view\/6787\/6641\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/aaai.org\/ojs\/index.php\/AAAI\/article\/view\/6787\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1903.06530\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/01\/03\/anomigan-generative-adversarial-networks-for-anonymizing-private-medical-data-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >AnomiGAN: Generative adversarial networks for anonymizing private medical data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon, in\u00a0<em>Proceedings of Pacific Symposium on Biocomputing (PSB)<\/em>, vol. 25, pp. 563-574, Hawaii, USA, January 2020.<br \/>\n<a href=\"http:\/\/psb.stanford.edu\/psb-online\/proceedings\/psb20\/Bae.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/psb.stanford.edu\/psb-online\/proceedings\/psb20\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1901.11313\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-0b755426mu\">#pt-cv-view-098fdaaezf .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-098fdaaezf .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-098fdaaezf .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-098fdaaezf  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-098fdaaezf  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-098fdaaezf .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-098fdaaezf .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-098fdaaezf { text-align: left !important; }<\/style>\r\n\t\t\t\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-f34be14i2a\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/12\/15\/development-and-validation-of-a-next-generation-sequencing-based-multigene-assay-to-predict-the-prognosis-of-estrogen-receptor-positive-her2-negative-breast-cancer\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Development and validation of a next-generation sequencing-based multigene assay to predict the prognosis of estrogen receptor-positive, HER2-negative breast cancer<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Han-Byoel Lee, Sae Byul Lee, Minsu Kim, Sunyoung Kwon, Jeonghee Jo, Jinkyoung Kim, Hee Jin Lee, Han Suk Ryu, Jong Won Lee, Chungyeul Kim, Jaehwan Jeong, Hyoki Kim, Dong-Young Noh, In-Ae Park, Sei Hyun Ahn, Sun Kim, Sungroh Yoon, Aeree Kim, Wonshik Han, <em>Clinical Cancer Research<\/em>, vol. 26, no. 24, pp. 6513-6522, December 2020.<br \/>\n<a href=\"https:\/\/clincancerres.aacrjournals.org\/content\/26\/24\/6513.full-text.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/clincancerres.aacrjournals.org\/content\/26\/24\/6513\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/11\/01\/prediction-of-the-sequence-specific-cleavage-activity-of-cas9-variants\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Prediction of the sequence-specific cleavage activity of Cas9 variants<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Nahye Kim, Hui Kwon Kim, Sungtae Lee, Jung Hwa Seo, Jae Woo Choi, Jinman Park, Seonwoo Min, Sungroh Yoon, Sung-Rae Cho, Hyongbum Henry Kim,\u00a0<em>Nature Biotechnology<\/em>, vol. 38, no. 11, pp. 1328-1336, November 2020.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s41587-020-0537-9.pdf\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/doi.org\/10.1038\/s41587-020-0537-9\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/09\/01\/sequence-specific-prediction-of-the-efficiencies-of-adenine-and-cytosine-base-editors\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Sequence-specific prediction of the efficiencies of adenine and cytosine base editors<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Myungjae Song, Hui Kwon Kim, Sungtae Lee, Younggwang Kim, Sang-Yeon Seo, Jinman Park, Nahye Kim, Jae Woo Choi, Hyewon Jang, Jeong Hong Shin, Seonwoo Min, Jhejiu Quan, Jihun Kim, Hoon-Chul Kang, Sungroh Yoon, Hyongbum Henry Kim, <em>Nature Biotechnology<\/em>, vol. 38, no. 9, pp. 1037-1043, September 2020.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s41587-020-0573-5.pdf\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/doi.org\/10.1038\/s41587-020-0573-5\" target=\"_blank\">link<\/a>\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/07\/01\/the-message-passing-neural-networks-for-chemical-property-prediction-on-smiles\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >The Message Passing Neural Networks for Chemical Property Prediction on SMILES<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jeonghee Jo, Bumju Kwak, Hyun-Soo Choi, Sungroh Yoon, <em>Methods<\/em>, vol. 179, pp. 65-72, July 2020.<br \/>\n<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1046202319303433\/pdfft?md5=3fe2a132787b173f675eb21ab3325d65&amp;pid=1-s2.0-S1046202319303433-main.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1046202319303433\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/03\/30\/anomaly-detection-of-by-learning-dynamics-from-a-graph\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Anomaly Detection by Learning Dynamics from a Graph<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaekoo Lee, Ho Bae, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 8, no. 1, pp. 64356-64365, March 2020.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=9050542\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/9050542\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/01\/14\/high-throughput-analysis-of-the-activities-of-xcas9-spcas9-ng-and-spcas9-at-matched-and-mismatched-target-sequences-in-human-cells\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hui Kwon Kim, Sungtae Lee, Younggwang Kim, Jinman Park, Seonwoo Min, Jae Woo Choi, Tony P Huang, Sungroh Yoon, David R Liu, Hyongbum Henry Kim, <em>Nature Biomedical Engineering<\/em>, vol. 4, pp. 111-124, January 2020.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/s41551-019-0505-1.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/s41551-019-0505-1\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-2d8be17whv\">#pt-cv-view-f34be14i2a .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-f34be14i2a .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-f34be14i2a .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f34be14i2a  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-f34be14i2a  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f34be14i2a .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-f34be14i2a .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f34be14i2a { text-align: left !important; }<\/style>\r\n\t\t\t\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t <div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-f63f20e831\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/10\/22\/momentum-contrast-speaker-representation-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Momentum Contrast Speaker Representation Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jangho Lee, Jaihyun Koh, Sungroh Yoon, arXiv:2010.11457 [eess.AS], June 2020.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2010.11457\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2010.11457\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2020\/06\/18\/joint-contrastive-learning-for-unsupervised-domain-adaptation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Joint Contrastive Learning for Unsupervised Domain Adaptation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon, arXiv:2006.10297 [cs.CV], June 2020.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/2006.10297\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/2006.10297\" target=\"_blank\">link<\/a>\u00a0\u00a0 <\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-30f4df0i2l\">#pt-cv-view-f63f20e831 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-f63f20e831 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-f63f20e831 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f63f20e831  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-f63f20e831  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f63f20e831 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-f63f20e831 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f63f20e831 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4139cb\" data-id=\"6aa14db4139cb\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2019<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db413aaa\" data-id=\"6aa14db413aaa\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-ec22fe622c\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/11\/18\/prediction-of-drug-classes-with-a-deep-neural-network-using-drug-targets-and-chemical-structure-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon, in\u00a0<em>Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM)<\/em>, San Diego, USA, November 2019.<br \/>\n<a href=\"https:\/\/ieeebibm.org\/BIBM2019\/\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeebibm.org\/BIBM2019\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/10\/27\/frame-to-frame-aggregation-of-active-regions-in-web-videos-for-weakly-supervised-semantic-segmentation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in <em>Proceedings of IEEE International Conference on Computer Vision (ICCV)<\/em>, Seoul, Korea, October 2019.<br \/>\n<a href=\"http:\/\/openaccess.thecvf.com\/content_ICCV_2019\/papers\/Lee_Frame-to-Frame_Aggregation_of_Active_Regions_in_Web_Videos_for_Weakly_ICCV_2019_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/openaccess.thecvf.com\/content_ICCV_2019\/html\/Lee_Frame-to-Frame_Aggregation_of_Active_Regions_in_Web_Videos_for_Weakly_ICCV_2019_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1908.04501\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/09\/09\/reinforcement-learning-based-recommender-system-using-biclustering-technique-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Mutual Suppression Network for Video Prediction using Disentangled Features<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon, in <em>Proceedings of British Machine Vision Conference (BMVC)<\/em>, Cardiff, UK, September 2019.<br \/>\n<a href=\"https:\/\/bmvc2019.org\/wp-content\/uploads\/papers\/0336-paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/bmvc2019.org\/programme\/detailed-programme\/\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1804.04810\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/06\/30\/hexagan-generative-adversarial-nets-for-real-world-classification\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >HexaGAN: Generative Adversarial Nets for Real World Classification<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Uiwon Hwang, Dahuin Jung, Sungroh Yoon, in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Long Beach, CA, USA, June 2019.<br \/>\n<a href=\"http:\/\/proceedings.mlr.press\/v97\/hwang19a\/hwang19a.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2020\/05\/ICML_2019_HexaGAN.pdf\" target=\"_blank\">slides<\/a>\u00a0\u00a0<a href=\"http:\/\/proceedings.mlr.press\/v97\/hwang19a.html\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/pdf\/1902.09913\" target=\"_blank\">arXiv<\/a>\u00a0 <a href=\"http:\/\/proceedings.mlr.press\/v97\/hwang19a\/hwang19a-supp.pdf\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/06\/29\/flowavenet-a-generative-flow-for-raw-audio\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >FloWaveNet: A Generative Flow for Raw Audio<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon,\u00a0in <em>Proceedings of International Conference on Machine Learning (ICML)<\/em>, Long Beach, CA, USA, June 2019.<br \/>\n<a href=\"http:\/\/proceedings.mlr.press\/v97\/kim19b\/kim19b.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/proceedings.mlr.press\/v97\/kim19b.html\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1811.02155\" target=\"_blank\">arXiv<\/a>\u00a0 <a href=\"https:\/\/github.com\/ksw0306\/FloWaveNet\" target=\"_blank\">code<\/a>\u00a0 <a href=\"https:\/\/ksw0306.github.io\/flowavenet-demo\/\" target=\"_blank\">demo<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/06\/16\/ficklenet-weakly-and-semi-supervised-semantic-image-segmentation-using-stochastic-inference\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in <em>Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR)<\/em>, Long Beach, USA, June 2019.<br \/>\n<a href=\"http:\/\/openaccess.thecvf.com\/content_CVPR_2019\/papers\/Lee_FickleNet_Weakly_and_Semi-Supervised_Semantic_Image_Segmentation_Using_Stochastic_Inference_CVPR_2019_paper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/openaccess.thecvf.com\/content_CVPR_2019\/html\/Lee_FickleNet_Weakly_and_Semi-Supervised_Semantic_Image_Segmentation_Using_Stochastic_Inference_CVPR_2019_paper.html\" target=\"_blank\">link<\/a>\u00a0\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1902.10421\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/06\/02\/fast-and-efficient-information-transmission-with-burst-spikes-in-deep-spiking-neural-networks-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, in <em>Proceedings of Design Automation Conference (DAC)<\/em>, Las Vegas, USA, June 2019.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=8807080\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8807080\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1809.03142\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/03\/01\/real-time-anomalous-branch-behavior-detection-with-a-gpu-inspired-engine-for-machine-learning-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Real-Time Anomalous Branch Behavior Detection with a GPU-Inspired Engine for Machine Learning Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek, in <em>Proceedings of Design, Automation and Test in Europe (DATE)<\/em>, Florence, Italy, March 2019.<br \/>\n<a href=\"https:\/\/www.date-conference.com\/\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.date-conference.com\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/03\/01\/energy-efficient-inference-accelerator-for-memory-augmented-neural-networks-on-fpga\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on FPGA<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Jahee Jang, Seijoon Kim, Sungroh Yoon, in <em>Proceedings of Design, Automation and Test in Europe (DATE)<\/em>, Florence, Italy, March 2019.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=8715013\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.date-conference.com\/\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1805.07978\" target=\"_blank\">arXiv<\/a>\u00a0 <a href=\"https:\/\/github.com\/seongsikpark\/MANN-FPGA\" target=\"_blank\">code<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/01\/01\/dna-steganalysis-using-deep-recurrent-neural-networks-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DNA Steganalysis using Deep Recurrent Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, in <em>Proceedings of Pacific Symposium on Biocomputing (PSB)<\/em>, Hawaii, USA, January 2019.<br \/>\n<a href=\"https:\/\/psb.stanford.edu\/psb-online\/proceedings\/psb19\/bae.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/psb.stanford.edu\/psb-online\/proceedings\/psb19\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1704.08443\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-feee6eat6g\">#pt-cv-view-ec22fe622c .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-ec22fe622c .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-ec22fe622c .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-ec22fe622c  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-ec22fe622c  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-ec22fe622c .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-ec22fe622c .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-ec22fe622c { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-e1d6c1d82d\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/12\/31\/end-to-end-blood-pressure-prediction-via-fully-convolutional-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >End-to-End Blood Pressure Prediction via Fully Convolutional Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sanghyun Baek, Jiyong Jang, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 7, no. 1, pp. 185458-185468, December 2019.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=8936850\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8936850\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/11\/07\/spcas9-activity-prediction-by-deepspcas9-a-deep-learning-based-model-with-high-generalization-performance\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >SpCas9 activity prediction by DeepSpCas9, a deep learning\u2013based model with high generalization performance<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim,\u00a0\u00a0<em>Science Advances<\/em>, Vol. 5, no. 11, p. eaax9249, November 2019.<br \/>\n<a href=\"https:\/\/advances.sciencemag.org\/content\/5\/11\/eaax9249.full.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/advances.sciencemag.org\/content\/5\/11\/eaax9249\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/10\/26\/comprehensive-ensemble-in-qsar-prediction-for-drug-discovery\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Comprehensive Ensemble in QSAR Prediction for Drug Discovery<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon, Ho Bae, Junghee Jo, Sungroh Yoon, in\u00a0<em>BMC Bioinformatics<\/em>, vol. 20, no. 1, p. 521, October 2019.<br \/>\n<a href=\"https:\/\/rdcu.be\/b87mF\" target=\"_blank\">paper<\/a>  <a href=\"https:\/\/bmcbioinformatics.biomedcentral.com\/articles\/10.1186\/s12859-019-3135-4\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/10\/07\/learning-based-instantaneous-drowsiness-detection-using-wired-and-wireless-electroencephalography\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 7, no. 1, pp. 146390-146402, October 2019.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=8861308\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8861308\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/10\/01\/end-to-end-representation-learning-for-chemical-chemical-interaction-prediction\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >End-to-end Representation Learning for Chemical-Chemical Interaction Prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon and Sungroh Yoon, <em>IEEE\/ACM Transactions on Computational Biology and Bioinformatics<\/em>, vol. 16, no. 5, pp. 1436-1447, October 2019.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=8428455\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8428455\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/09\/04\/puvae-a-variational-autoencoder-to-purify-adversarial-examples\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >PuVAE: A Variational Autoencoder to Purify Adversarial Examples<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho, <em>IEEE Access<\/em>, vol.7, no.1, pp.125682-126593, September 2019.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=8824108\">paper <\/a>\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8824108\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1903.00585\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/07\/11\/pediatric-sleep-stage-classification-using-multi-domain-hybrid-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Pediatric Sleep Stage Classification using Multi-domain Hybrid Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim, <em>IEEE Access<\/em>, vol. 7, no. 1, pp. 96495&#8211;96505, July 2019.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=8759961\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8759961\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/04\/02\/resting-state-electroencephalography-eeg-functional-connectivity-of-benign-epilepsy-with-centrotemporal-spikes-bects\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyun-Soo Choi, Yoon Ki Jung, So Youn Ahn, Sungroh Yoon, Hee Hwang, Hunmin Kim,\u00a0<em>Journal of Clinical Neurology<\/em>, vol. 15, no. 2, pp. 211-220, April 2019.<br \/>\n<a href=\"https:\/\/thejcn.com\/Synapse\/Data\/PDFData\/0145JCN\/jcn-15-211.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/thejcn.com\/DOIx.php?id=10.3988\/jcn.2019.15.2.211\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/03\/28\/cracking-the-code-of-personalized-medicine\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Cracking the code of personalized medicine<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Advertisement Feature (not a peer reviewed research article) in <em>Nature Research<\/em>, March 2019.<br \/>\n<a href=\"https:\/\/www.nature.com\/articles\/d42473-019-00101-y\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/02\/01\/how-generative-adversarial-nets-and-its-variants-work-an-overview-of-gan\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >How Generative Adversarial Networks and Their Variants Work: An Overview<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon,\u00a0<em>ACM Computing Surveys<\/em>, vol. 52, no. 1, article 1, February 2019.<br \/>\n<a href=\"https:\/\/dl.acm.org\/ft_gateway.cfm?id=3301282&#038;ftid=2040119&#038;dwn=1&#038;CFID=20426536&#038;CFTOKEN=1a80887b9fe5102c-BD4A1F74-EDC7-3A08-85DE06722D2621F2\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3301282\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1711.05914\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/02\/01\/changes-in-lesional-and-non-lesional-skin-microbiome-during-treatment-of-atopic-dermatitis\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Changes in Lesional and Non-lesional Skin Microbiome During Treatment of Atopic Dermatitis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon, Ji Young Choi, Jung-Won Shin, Chang-Hun Huh, Kyoung-Chan Park, Mi-Hee Du, Sungroh Yoon,\u00a0Jung-Im Na, <em>Acta Dermato-Venereologica<\/em>, vol. 99, no. 3, pp. 284-290, February 2019.<br \/>\n<a href=\"http:\/\/www.medicaljournals.se\/acta\/download\/10.2340\/00015555-3089\/\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.medicaljournals.se\/acta\/content\/abstract\/10.2340\/00015555-3089\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-4cd0610uf7\">#pt-cv-view-e1d6c1d82d .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-e1d6c1d82d .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-e1d6c1d82d .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e1d6c1d82d  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-e1d6c1d82d  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e1d6c1d82d .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-e1d6c1d82d .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e1d6c1d82d { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-dfb60f1456\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/05\/01\/one-shot-learning-for-text-to-sql-generation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >One-Shot Learning for Text-to-SQL Generation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dongjun Lee, Jaesik Yoon, Jongyun Song, Sanggil Lee, Sungroh Yoon, arXiv:1905.11499 [cs.CL], May 2019.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1905.11499\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1905.11499\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2019\/03\/19\/learning-condensed-and-aligned-features-for-unsupervised-domain-adaptation-using-label-propagation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon, arXiv:1903.04860 [cs.LG], March 2019.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1903.04860\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1903.04860\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-b01fa49m79\">#pt-cv-view-dfb60f1456 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-dfb60f1456 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-dfb60f1456 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-dfb60f1456  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-dfb60f1456  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-dfb60f1456 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-dfb60f1456 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-dfb60f1456 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db413bd1\" data-id=\"6aa14db413bd1\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2018<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db413c95\" data-id=\"6aa14db413c95\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-c0e81dc593\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/12\/17\/detecting-system-anomalies-in-multivariate-time-series-with-information-transfer-and-random-walk\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon, in <em>Proceedings of the 5th IEEE\/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)<\/em>, Zurich, Switzerland, December 2018.<br \/>\n<a href=\"http:\/\/bdcat-conference.org\/\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/bdcat-conference.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/09\/18\/liver-lesion-detection-from-weakly-labeled-multi-phase-ct-volumes-with-a-grouped-single-shot-multibox-detector\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon, in <em>Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) <\/em>, LNCS vol. 11071, pp. 693\u2013701, Granada, Spain, September 2018.<br \/>\n<a href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007%2F978-3-030-00934-2_77.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-00934-2_77\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1807.00436\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/08\/29\/xgboost-based-instantaneous-drowsiness-detection-framework-using-multitaper-spectral-information-of-electroencephalography\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon, in <em>Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)<\/em>, pp. 111-121, Washington DC, USA, August 2018.<br \/>\n<a href=\"http:\/\/ailab.snu.ac.kr\/wp-content\/uploads\/2018\/10\/p111-choi.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3233567\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/06\/24\/mimicry-resilient-program-behavior-modeling-with-lstm-based-branch-models\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek, <em>Deep Learning and Security (DLS) Workshop<\/em>, <em>IEEE Symposium on Security and Privacy (S&amp;P)<\/em>, San Francisco, USA,\u00a0May 2018.<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1803.09171\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.ieee-security.org\/TC\/SPW2018\/DLS\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/02\/07\/quantized-memory-augmented-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Quantized Memory-Augmented Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, and Sungroh Yoon, in <em>Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI)<\/em>, pp.3909-3916, New Orleans, USA, February 2018.<br \/>\n<a href=\"https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/download\/16732\/16638\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/Q-MANN\/AAAI2017.suppl.pdf\" target=\"_blank\">suppl<\/a>\u00a0\u00a0<a href=\"https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/16732\" target=\"_blank\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1711.03712\" target=\"_blank\">arxiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/02\/01\/reinforcement-learning-based-recommender-system-using-biclustering-technique\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Reinforcement Learning based Recommender System  using Biclustering Technique<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon,\u00a0in <em>Proceedings of WSDM Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP)<\/em>, Los Angeles, USA, February 2018.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2018\/01\/ifup2018.pdf\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"https:\/\/www.librec.net\/ifup\/2018\/\" target=\"_blank\">link<\/a>  <a href=\"https:\/\/arxiv.org\/abs\/1801.05532\" target=\"_blank\">arxiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/01\/03\/customization-of-ibm-intus-voice-by-connecting-text-to-speech-services-and-a-voice-conversion-network\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Customization of IBM Intu\u2019s Voice by Connecting Text-to-Speech Services and a Voice Conversion Network<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jongyoon Song, Hyunjae Kim, Jaekoo Lee, Euishin Choi, Minseok, Kim, Sungroh Yoon,\u00a0in <em>Proceedings of the Hawaii International Conference on System Sciences (HICSS)<\/em>, pp. 830-839, Waikoloa Village, USA, January 2018.<br \/>\n<a href=\"https:\/\/scholarspace.manoa.hawaii.edu\/bitstream\/10125\/49991\/1\/paper0104.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/scholarspace.manoa.hawaii.edu\/handle\/10125\/49991\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-b6c9df6opr\">#pt-cv-view-c0e81dc593 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-c0e81dc593 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-c0e81dc593 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-c0e81dc593  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-c0e81dc593  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-c0e81dc593 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-c0e81dc593 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-c0e81dc593 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-e72bd0cc0c\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/11\/15\/lncrnanet-long-noncoding-rna-identification-using-deep-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >LncRNAnet: Long Noncoding RNA Identification using Deep Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Junghwan Baek, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, <em>Bioinformatics<\/em>, vol. 34, no. 22, pp. 3889-3897, November 2018.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2018\/05\/jhbaek2018preprint.pdf\">paper<\/a>\u00a0\u00a0 <a href=\"https:\/\/doi.org\/10.1093\/bioinformatics\/bty418\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/09\/14\/deep-learning-based-low-cost-high-accuracy-diagnostic-framework-for-dementia-using-comprehensive-neuropsychological-assessment-profiles\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep Learning Based Low-cost High-accuracy Diagnostic Framework for Dementia Using Comprehensive Neuropsychological Assessment Profiles<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyun-Soo Choi, Jin Yeong Choe, Hanjoo Kim, Ji Won Han, Yeon Kyung Chi, Kayoung Kim, Jongwoo Hong, Taehyun Kim, Tae Hui Kim, Sungroh Yoon, Ki Woong Kim, <em>BMC Geriatrics<\/em>, vol. 18, no. 1, p. 234, October 2018.<br \/>\n<a href=\"https:\/\/rdcu.be\/8tik\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/bmcgeriatr.biomedcentral.com\/articles\/10.1186\/s12877-018-0915-z\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/08\/25\/cloudsocket-fine-grained-power-sensing-system-for-datacenters\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CloudSocket: Fine-Grained Power Sensing System for Datacenters<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 6, no. 1, pp. 49601-49610, September 2018.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&#038;arnumber=8454427\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8454427\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/03\/02\/tba-embargoed\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep learning improves prediction of CRISPR\u2013Cpf1 guide RNA activity<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hui Kwon Kim, Seonwoo Min, Myungjae Song, Soobin Jung, Jae Woo Choi, Younggwang Kim, Sangeun Lee, Sungroh Yoon, Hyongbum Kim,\u00a0<em>Nature Biotechnology<\/em>, vol. 36, no. 3, pp. 239-241, March 2018.<br \/>\n<a href=\"http:\/\/rdcu.be\/FOM1\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/nbt.4061\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/deepcrispr.info\/\" target=\"_blank\">code<\/a>\u00a0\u00a0<a href=\"https:\/\/www.nature.com\/articles\/nbt.4061#supplementary-information\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/03\/01\/selected-papers-journal-2016\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units based on Homopolymer Compaction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, and Sungroh Yoon, <em>IEEE\/ACM Transactions on Computational Biology and Bioinformatics<\/em>, vol. 15, no. 2, pp. 441-451, March\/April 2018.<br \/>\n<a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=7420667\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/document\/7420667\/?arnumber=7420667\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/02\/24\/tensorlightning-a-traffic-efficient-distributed-deep-learning-on-commodity-spark-clusters\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >TensorLightning: A Traffic-efficient Distributed Deep Learning on Commodity Spark Clusters<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seil Lee, Hanjoo Kim, Jaehong Park, Jaehee Jang, Chang-Sung Jeong, Sungroh Yoon, <em>IEEE Access<\/em>, vol. 6, no. 1, pp. 27671-27680, May 2018.<br \/>\n<a href=\"https:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=8369060\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/ieeexplore.ieee.org\/document\/8369060\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/01\/03\/hicomet-a-high-throughput-comet-analysis-tool-for-large-scale-dna-damage-assessment\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >HiComet: A High-Throughput Comet Analysis Tool for Large-Scale DNA Damage Assessment<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, and Sungroh Yoon, <em>BMC Bioinformatics<\/em>, vol. 19(Suppl 1), no. 44, pp. 49-61, February 2018.<br \/>\n<a href=\"http:\/\/click.springernature.com\/f\/a\/Xn16loMrSSgIWglppP3JGw~~\/AAEGiQA~\/RgRcbmkNP0R4aHR0cHM6Ly9ibWNiaW9pbmZvcm1hdGljcy5iaW9tZWRjZW50cmFsLmNvbS90cmFjay9wZGYvMTAuMTE4Ni9zMTI4NTktMDE4LTIwMTUtNz9zaXRlPWJtY2Jpb2luZm9ybWF0aWNzLmJpb21lZGNlbnRyYWwuY29tVwNzcGNYBAAAAABCCgABfeSLWvFfvC1SEHNyeW9vbkBzbnUuYWMua3I~\">paper<\/a> \u00a0<a href=\"http:\/\/click.springernature.com\/f\/a\/b0h__S2gHDgJLg-Vju4Wpw~~\/AAEGiQA~\/RgRcbmkNP0ROaHR0cHM6Ly9ibWNiaW9pbmZvcm1hdGljcy5iaW9tZWRjZW50cmFsLmNvbS9hcnRpY2xlcy8xMC4xMTg2L3MxMjg1OS0wMTgtMjAxNS03VwNzcGNYBAAAAABCCgABfeSLWvFfvC1SEHNyeW9vbkBzbnUuYWMua3I~\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-d7178b9eld\">#pt-cv-view-e72bd0cc0c .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-e72bd0cc0c .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-e72bd0cc0c .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e72bd0cc0c  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-e72bd0cc0c  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e72bd0cc0c .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-e72bd0cc0c .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e72bd0cc0c { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-d2bfe91e54\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/08\/02\/security-and-privacy-issues-in-deep-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Security and Privacy Issues in Deep Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon,\u00a0arXiv:1807.11655 [cs.CR], July 2018.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1807.11655\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1807.11655\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/05\/31\/robust-tumor-localization-with-pyramid-grad-cam\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Robust Tumor Localization with Pyramid Grad-CAM<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon,\u00a0arXiv:1805.11393 [cs.CV], May 2018.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1805.11393\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1805.11393\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2018\/05\/29\/intelligent-knowledge-tracing-more-like-a-real-learning-process-of-a-student\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon,\u00a0arXiv:1805.10768 [cs.AI], May 2018.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1805.10768\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1805.10768\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-8a43384gba\">#pt-cv-view-d2bfe91e54 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-d2bfe91e54 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-d2bfe91e54 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-d2bfe91e54  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-d2bfe91e54  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-d2bfe91e54 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-d2bfe91e54 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-d2bfe91e54 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db413db7\" data-id=\"6aa14db413db7\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 vc_custom_1449081995526 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db413e44\" data-id=\"6aa14db413e44\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"vc_tta-panel\" id=\"Selected_Papers_2004\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h4 class=\"vc_tta-panel-title\"><a href=\"#Selected_Papers_2004\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Selected Papers (prior to 2018)<\/span><\/a><\/h4><\/div><div class=\"vc_tta-panel-body\"><div class=\"vc_row wpb_row vc_inner vc_row-fluid boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 vc_custom_1449081995526 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db413f77\" data-id=\"6aa14db413f77\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2017<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414046\" data-id=\"6aa14db414046\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-a8d8eecdb5\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/12\/11\/autonomous-uav-navigation-with-domain-adaptation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Autonomous UAV Navigation with Domain Adaptation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaeyoon Yoo, Yongjun Hong, Sungroh Yoon,\u00a0arXiv:1712.03742 [cs.CV], December 2017.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1712.03742.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1712.03742\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/11\/28\/homomorphic-parameter-compression-for-distributed-deep-learning-training\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Homomorphic Parameter Compression for Distributed Deep Learning Training<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaehee Jang, Byungook Na, Sungroh Yoon,\u00a0arXiv:1711.10123 [cs.DC], November 2017.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1711.10123.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1711.10123\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/11\/11\/disease-prediction-from-electronic-health-records-using-generative-adversarial-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Disease Prediction from Electronic Health Records Using Generative Adversarial Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Uiwon Hwang, Sungwoon Choi, Sungroh Yoon,\u00a0arXiv:1711.04126 [cs.LG], November 2017.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1711.04126\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1711.04126\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/10\/31\/a-seqgan-for-polyphonic-music-generation\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Polyphonic Music Generation with Sequence Generative Adversarial Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon,\u00a0arXiv:1710.11418 [cs.SD], October 2017.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1710.11418\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1710.11418\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/06\/09\/2274\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaeyoon Yoo, Heonseok Ha, Jihun Yi, Jongha Ryu, Chanju Kim, Jung-Woo Ha, Young-Han Kim, Sungroh Yoon,\u00a0arXiv:1706.09200 [cs.IR], June 2017.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1706.09200\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1706.09200\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/05\/17\/building-a-neural-machine-translation-system-using-only-synthetic-parallel-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Building a Neural Machine Translation System Using Only Synthetic Parallel Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaehong Park, Byunggook Na, and Sungroh Yoon,\u00a0arXiv:1704.00253 [cs.CL], April\u00a02017.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1704.00253\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1704.00253\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-27a27406it\">#pt-cv-view-a8d8eecdb5 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-a8d8eecdb5 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-a8d8eecdb5 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-a8d8eecdb5  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-a8d8eecdb5  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-a8d8eecdb5 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-a8d8eecdb5 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-a8d8eecdb5 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-05a96b5b10\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/09\/05\/2194\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep Recurrent Neural Network-Based Identification of Precursor microRNAs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, and Sungroh Yoon, in <em>Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS)<\/em>, Long Beach, USA, December 2017.<br \/>\n<a href=\"http:\/\/papers.nips.cc\/paper\/6882-deep-recurrent-neural-network-based-identification-of-precursor-micrornas.pdf\" target=\"_blank\">paper<\/a> \u00a0<a href=\"http:\/\/papers.nips.cc\/paper\/6882-deep-recurrent-neural-network-based-identification-of-precursor-micrornas-supplemental.zip\" target=\"_blank\">suppl<\/a>\u00a0 <a href=\"http:\/\/papers.nips.cc\/paper\/6882-deep-recurrent-neural-network-based-identification-of-precursor-micrornas\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/08\/20\/deepcci-end-to-end-deep-learning-for-chemical-chemical-interaction-prediction\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon and Sungroh Yoon,\u00a0in <em>Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)<\/em>, Boston, USA, August 2017.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1704.08432v1\" target=\"_blank\">preprint<\/a>\u00a0\u00a0<a href=\"http:\/\/acm-bcb.org\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1704.08432\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/05\/15\/near-data-processing-for-machine-learning\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Near-Data Processing for Differentiable Machine Learning Models<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeokjun Choe, Seil Lee, Hyunha Nam, Seongsik Park, Seijoon Kim, Eui-Young Chung,\u00a0and Sungroh Yoon,\u00a0in <em>Proceedings of the 33rd International Conference on Massive Storage Systems and Technology (MSST)<\/em>, Santa Clara, USA, May\u00a02017.<br \/>\n<a href=\"http:\/\/storageconference.us\/2017\/Papers\/DifferentiableMachineLearningModels.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/storageconference.us\/2017\/index.html\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/02\/12\/transfer-learning-for-deep-learning-on-graph-structured-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Transfer Learning for Deep Learning on Graph-Structured Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaekoo Lee, Hyunjae Kim, Jongsun Lee, and Sungroh Yoon, in <em>Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI)<\/em>, San Francisco, USA, February 2017.<br \/>\n<a href=\"http:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI17\/paper\/download\/14803\/14387\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.aaai.org\/Conferences\/AAAI\/aaai17.php\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/01\/11\/training-ibm-watson-using-automatically-generated-question-answer-pairs\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Training IBM Watson using Automatically Generated Question-Answer Pairs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, and Sungroh Yoon, in <em>Proceedings of the Hawaii International Conference on System Sciences (HICSS)<\/em>, pp. 1683-1691, Waikoloa Village, USA, January 2017.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2017\/01\/2017.1.hicss_.pdf\" target=\"_blank\">paper<\/a> \u00a0<a href=\"http:\/\/hicss.hawaii.edu\/\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/pdf\/1611.03932v1\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-82006a2qvu\">#pt-cv-view-05a96b5b10 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-05a96b5b10 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-05a96b5b10 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-05a96b5b10  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-05a96b5b10  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-05a96b5b10 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-05a96b5b10 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-05a96b5b10 { text-align: left !important; }<\/style>\r\n\t\t\t\n\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t\n<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-f86b3bbc9b\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/11\/01\/a-genetic-variant-in-slc28a3-rs56350726-is-associated-with-progression-to-castration-resistant-prostate-cancer-in-a-korean-population-with-metastatic-prostate-cancer\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A genetic variant in SLC28A3, rs56350726, is associated with progression to castration-resistant prostate cancer in a Korean population with metastatic prostate cancer<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jung Ku Jo, Jong Jin Oh, Yong Tae Kim, Hong Sang Moon, Hong Yong Choi, Seunghyun Park, Jin-Nyoung Ho, Sungroh Yoon, Hae Young Park, and Seok-Soo Byun,\u00a0<em>Oncotarget<\/em>, vol. 8, no. 57, pp. 96893-96902,\u00a0November 2017.<br \/>\n<a href=\"http:\/\/www.impactjournals.com\/oncotarget\/index.php?journal=oncotarget&amp;page=article&amp;op=download&amp;path%5B%5D=18298&amp;path%5B%5D=58672\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.impactjournals.com\/oncotarget\/index.php?journal=oncotarget&amp;page=article&amp;op=view&amp;path[]=18298&amp;path[]=58673\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/10\/02\/large-scale-structured-sparsity-via-parallel-fused-lasso-on-multiple-gpus\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Large-Scale Structured Sparsity via Parallel Fused Lasso on Multiple GPUs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee, Joong-Ho Won, Johan Lim, and Sungroh Yoon, <em>Journal of Computational and Graphical Statistics<\/em>, vol. 26, no. 4, pp. 851-864, October 2017.<br \/>\n<a href=\"http:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/10618600.2017.1328363?needAccess=true#aHR0cDovL3d3dy50YW5kZm9ubGluZS5jb20vZG9pL3BkZi8xMC4xMDgwLzEwNjE4NjAwLjIwMTcuMTMyODM2Mz9uZWVkQWNjZXNzPXRydWVAQEAw\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2017.1328363\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/10\/01\/large-scale-machine-learning-of-media-outlets-for-understanding-public-reactions-to-nation-wide-viral-infection-outbreaks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Large-Scale Machine Learning of Media Outlets for Understanding Public Reactions to Nation-Wide Viral Infection Outbreaks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungwoon Choi, Jangho Lee, Min-Gyu Kang, Hyeyoung Min, Yoon-Seok Chang, and Sungroh Yoon, <em>Methods<\/em>, vol. 129, pp. 50-59, October 2017.<br \/>\n<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1046202317300191?via%3Dihub#\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1046202317300191?via%3Dihub\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/10\/01\/machine-learning-based-identification-of-endogenous-cellular-microrna-sponges-against-viral-micrornas\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Machine Learning-Based Identification of Endogenous Cellular microRNA Sponges against Viral microRNAs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Soowon Kang, Seunghyun Park,\u00a0Sungroh Yoon, and Hyeyoung Min,\u00a0<em>Methods<\/em>, vol. 129, pp. 33-40, October 2017.<br \/>\n<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1046202317300233?via%3Dihub#\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1046202317300233?via%3Dihub\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/09\/01\/deep-learning-in-bioinformatics\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep Learning in Bioinformatics<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seonwoo Min, Byunghan Lee, and Sungroh Yoon, <em>Briefings in Bioinformatics<\/em>, vol.\u00a018,\u00a0no. 5, pp. 851-869, September 2017.<br \/>\n<a href=\"http:\/\/bib.oxfordjournals.org\/content\/early\/2016\/07\/25\/bib.bbw068.full.pdf+html\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/academic.oup.com\/bib\/article\/18\/5\/851\/2562808\">link<\/a>\u00a0 <a href=\"https:\/\/arxiv.org\/abs\/1603.06430\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/07\/03\/selected-papers-arxiv-2015-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DUDE-Seq: Fast, Flexible, and Robust Denoising for Targeted Amplicon Sequencing<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byunghan Lee, Taesup Moon, Sungroh Yoon, and Tsachy Weissman,\u00a0<em>PLOS ONE<\/em>, 12(7):e0181463, July 2017.<br \/>\n<a href=\"http:\/\/journals.plos.org\/plosone\/article\/file?id=10.1371\/journal.pone.0181463&amp;type=printable\" target=\"_blank\">paper<\/a>\u00a0 <a href=\"http:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0181463\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1511.04836\" target=\"_blank\">arXiv<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/dude-seq\/\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/06\/29\/2358\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunsun Oh, Sung Wook Seo, Young Cheol Yoon, Dong Wook Kim, Sunyoung Kwon, Sungroh Yoon,\u00a0<em>Journal of Orthopaedic Surgery<\/em>, vol. 25, no. 2, pp. 1-7,\u00a0June 2017.<br \/>\n<a href=\"http:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/2309499017716243\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/journals.sagepub.com\/doi\/abs\/10.1177\/2309499017716243\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/05\/26\/genetic-risk-score-to-predict-biochemical-recurrence-after-radical-prostatectomy-in-prostate-cancer-prospective-cohort-study\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Genetic risk score to predict biochemical recurrence after radical prostatectomy in prostate cancer: prospective cohort study<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Tae Jin Kim, In Jae Lee, Jin-Nyoung Ho, Sungroh Yoon, and Seok-Soo Byun, <em>Oncotarget<\/em>, vol. 8, no. 44, pp. 75979-75988, May 2017.<br \/>\n<a href=\"http:\/\/www.impactjournals.com\/oncotarget\/index.php?journal=oncotarget&amp;page=article&amp;op=download&amp;path%5B%5D=18275&amp;path%5B%5D=58599\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.impactjournals.com\/oncotarget\/index.php?journal=oncotarget&amp;page=article&amp;op=view&amp;path[]=18275&amp;pubmed-linkout=1\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/05\/01\/an-effective-pre-storepre-load-method-exploiting-intra-request-idle-time-of-nand-flash-based-storage-devices\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >An Effective Pre-Store\/Pre-Load Method Exploiting Intra-Request Idle Time of NAND Flash-Based Storage Devices<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jin-Young Kim, Tae-Hee You, Hyeokjun Seo, Sungroh Yoon, Jean-Luc Gaudiot, Eui-Young Chung, <em>Microprocessors and Microsystems<\/em>, vol. 50, pp. 222-236, May 2017.<br \/>\n<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0141933117301631\/pdfft?md5=7f1491e613cea1983cd161f8d04429c0&amp;pid=1-s2.0-S0141933117301631-main.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0141933117301631\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/04\/04\/nc-link-a-new-linkage-method-for-efficient-hierarchical-clustering-of-large-scale-data\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >NC-link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, and Sungroh Yoon, <em>IEEE Access<\/em>, vol. 5, no. 1, pp. 5594-5608, April 2017<br \/>\n<a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=7891959\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/document\/7891959\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/03\/24\/exome-based-genome-wide-association-study-and-risk-assessment-using-genetic-risk-score-to-prostate-cancer-in-the-korean-population\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Exome-Based Genome-Wide Association Study and Risk Assessment using Genetic Risk Score to Prostate Cancer in the Korean Population<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jong Jin Oh, Soo Ji Lee, Joo-Yeon Hwang, Dokyoon Kim, Sang Eun Lee, Sung Kyu Hong, Jin-Nyoung Ho, Sungroh Yoon, Joohon Sung, Wun-Jae Kim, and Seok-Soo Byun, <em>Oncotarget<\/em>, vol. 8, no. 27, pp. 43934-43943, March 2017.<br \/>\n<a href=\"http:\/\/www.impactjournals.com\/oncotarget\/index.php?journal=oncotarget&amp;page=article&amp;op=download&amp;path%5B%5D=16540&amp;path%5B%5D=52900\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.impactjournals.com\/oncotarget\/index.php?journal=oncotarget&amp;page=article&amp;op=view&amp;path[]=16540&amp;pubmed-linkout=1\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2017\/01\/03\/development-and-external-validation-of-the-korean-prostate-cancer-risk-calculator-for-high-grade-prostate-cancer-comparison-with-two-western-risk-calculators-in-an-asian-cohort\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Development and External Validation of the Korean Prostate Cancer Risk Calculator for High-grade Prostate Cancer: Comparison with Two Western Risk Calculators in an Asian Cohort<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jae Young Park, Sungroh Yoon, Man Sik Park, Hoon Choi, Jae Hyun Bae, Du Geon Moon, Sung Kyu Hong, Sang Eun Lee, Chanwang Park, and Seok-Soo Byun, <em>PLOS ONE<\/em>, 12(1): e0168917, January 2017.<br \/>\n<a href=\"http:\/\/journals.plos.org\/plosone\/article\/file?id=10.1371\/journal.pone.0168917&amp;type=printable\" target=\"_blank\">paper<\/a> \u00a0<a href=\"http:\/\/journals.plos.org\/plosone\/article?id=10.1371\/journal.pone.0168917\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-f0379a7c5j\">#pt-cv-view-f86b3bbc9b .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-f86b3bbc9b .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-f86b3bbc9b .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f86b3bbc9b  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-f86b3bbc9b  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f86b3bbc9b .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-f86b3bbc9b .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-f86b3bbc9b { text-align: left !important; }<\/style>\r\n\t\t\t\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db41416c\" data-id=\"6aa14db41416c\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2016<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414234\" data-id=\"6aa14db414234\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-62d6b7b84b\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/11\/06\/lstm-based-system-call-language-modeling-and-robust-ensemble-method-for-designing-host-based-intrusion-detection-systems\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Gyuwan Kim, Hayoon Yi, Jangho Lee, Yunheung Paek, and Sungroh Yoon,\u00a0arXiv:1611.01726 [cs.CR], November\u00a02016.<br \/>\n<a href=\"https:\/\/arxiv.org\/pdf\/1611.01726v1\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/arxiv.org\/abs\/1611.01726\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/05\/03\/deepmirgene-deep-neural-network-based-precursor-microrna-prediction\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >deepMiRGene: Deep Neural Network based Precursor microRNA Prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, and Sungroh Yoon,\u00a0arXiv:1605.00017 [cs.LG], May\u00a02016.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/1605.00017v1.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1605.00017\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/02\/26\/deepspark-spark-based-deep-learning-supporting-asynchronous-updates-and-caffe-compatibility\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hanjoo Kim, Jaehong Park, Jaehee Jang, and Sungroh Yoon,\u00a0arXiv:1602.08191v2 [cs.LG], Februaray 2016.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/1602.08191v2.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1602.08191\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/deepspark.snu.ac.kr\" target=\"_blank\">code<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-9d46bc5bm4\">#pt-cv-view-62d6b7b84b .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-62d6b7b84b .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-62d6b7b84b .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-62d6b7b84b  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-62d6b7b84b  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-62d6b7b84b .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-62d6b7b84b .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-62d6b7b84b { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-faad267051\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/11\/01\/neural-universal-discrete-denoiser\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Neural Universal Discrete Denoiser<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taesup Moon, Seonwoo Min, Byunghan Lee, and Sungroh Yoon, \u00a0in <em>Proceedings of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS)<\/em>, Barcelona, Spain, December 2016.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/10\/neural_dude_nips_camera.pdf\" target=\"_blank\">preprint<\/a> \u00a0<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/10\/suppl_camera.pdf\" target=\"_blank\">suppl<\/a>\u00a0 <a href=\"https:\/\/nips.cc\/Conferences\/2016\/Schedule?showEvent=7141\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/10\/31\/an-efficient-method-to-boosting-performance-of-spiking-neural-network-training\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >An Efficient Method to Boosting Performance of Spiking Neural Network Training<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seongsik Park, Sang-gil Lee, Hyunha Nam, and Sungroh Yoon, \u00a0in <em>the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS) Workshop on Computing with Spikes<\/em>, Barcelona, Spain, December 2016.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/11\/NIPS_CWS_2016.pdf\" target=\"_blank\">paper<\/a> \u00a0<a href=\"https:\/\/www.cwi.nl\/computing-spikes-nips-2016-workshop\" target=\"_blank\">link<\/a>\u00a0 <a href=\"http:\/\/arxiv.org\/abs\/1611.02416\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/08\/15\/cloudsocket-smart-grid-platform-for-datacenters\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CloudSocket: Smart Grid Platform for Datacenters<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Chang-Sung Jeong, and Sungroh Yoon, \u00a0in <em>Proceedings of the 34th IEEE International Conference on Computer Design (ICCD)<\/em>, pp. 436-439, Phoenix, USA, October 2016.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2017\/09\/07753322.pdf\" target=\"_blank\">paper<\/a>\u00a0 <a href=\"http:\/\/ieeexplore.ieee.org\/document\/7753322\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/07\/14\/deep-learning-for-bioinformatics-and-health-informatics\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deep Learning for Bioinformatics and Health Informatics<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, tutorial given\u00a0at<em>\u00a0the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)<\/em>, Seattle, USA, October 2016.<br \/>\n<a href=\"https:\/\/goo.gl\/AQ3Tr6\" target=\"_blank\">slides<\/a> \u00a0<a href=\"http:\/\/data.snu.ac.kr\/acm-bcb\/slides\/acm_tutorial_dl_bio.pdf\" target=\"_blank\">slides<\/a>\u00a0(domestic server)\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/acm-bcb\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/07\/14\/deeptarget-end-to-end-learning-framework-for-microrna-target-prediction-using-deep-recurrent-neural-networks\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >deepTarget: End-to-end Learning Framework for microRNA Target Prediction   using Deep Recurrent Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byunghan Lee, Junghwan Baek, Seunghyun Park, and Sungroh Yoon, \u00a0in <em>Proceedings of the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)<\/em>, pp. 434-442, Seattle, USA, October 2016.<br \/>\n<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2975212\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/deepTarget\" target=\"_blank\">code<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/03\/02\/selected-papers-conference-2016\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Collaborative Analytics for Data Silos<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, and Sang K Cha, in <em>Proceedings of IEEE International Conference on Data Engineering (ICDE)<\/em>, pp. 743-754, Helsinki, Finland, May 2016.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/06\/2016.5-ICDE.pdf\" target=\"_blank\" rel=\"\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/icde2016.fi\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/03\/01\/mining-internet-media-for-monitoring-changes-of-public-emotions-about-infectious-diseases\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Mining Internet Media for Monitoring Changes of Public Emotions about Infectious Diseases<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon-Seok Chang, and Sungroh Yoon, in <em>Proceedings of \u00a0ICDE\u00a0Workshop on Health Data Management and Mining<\/em>, Helsinki, Finland, May 2016.<br \/>\n<a href=\"https:\/\/sites.google.com\/site\/hdmmicde\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-4d042243dy\">#pt-cv-view-faad267051 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-faad267051 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-faad267051 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-faad267051  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-faad267051  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-faad267051 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-faad267051 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-faad267051 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-127f7e8a26\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/07\/30\/selected-papers-journal-2016-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Exploiting Compression-Induced Internal Fragmentation for Power-Off Recovery in SSD<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dongwook Kim, Youjip Won, Jaehyuk Cha, Sungroh Yoon, Jongmoo Choi, and Sooyong Kang, <em>IEEE Transactions on Computers<\/em>, vol. 65, no. 6, pp. 1720-1733, July 2016.<br \/>\n<a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=7172998\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=7172998&amp;newsearch=true&amp;queryText=Exploiting%20Compression-Induced%20Internal%20Fragmentation%20for%20Power-Off%20Recovery%20in%20SSD&amp;x=0&amp;y=0\" target=\"_blank\">link <\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/07\/01\/selected-papers-journal-2016-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungmin Lee, Hyeyoung Min, and Sungroh Yoon, <em>Briefings in Bioinformatics<\/em>, vol. 17, no. 4, pp. 713-727, July 2016.<br \/>\n<a href=\"http:\/\/bib.oxfordjournals.org\/cgi\/reprint\/bbv073?ijkey=4Ug8H2aVNVb4Jbc&amp;keytype=ref\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/bib.oxfordjournals.org\/cgi\/content\/abstract\/bbv073?ijkey=4Ug8H2aVNVb4Jbc&amp;keytype=ref\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/biossd\/\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/03\/28\/selected-papers-arxiv-2015-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Regularization and Kernelization of the Maximin Correlation Approach<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee, Taesup Moon, Seung Jean Kim, and Sungroh Yoon, <em>IEEE Access<\/em>, vol. 4, pp. 1385-1392, April\u00a02016.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/05\/2016.4-IEEE-Access-RMCA.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=7448814\" target=\"_blank\">link<\/a>\u00a0 <a href=\"http:\/\/data.snu.ac.kr\/rmca\/\" target=\"_blank\">code<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1502.06105\" target=\"_blank\">arXiv<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/03\/21\/biometric-authentication-using-noisy-electrocardiograms-acquired-by-mobile-sensors\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyun-Soo Choi, Byunghan Lee, and Sungroh Yoon, <em>IEEE Access<\/em>, vol. 4, pp. 1266-1273, March 2016.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/04\/2016.3-IEEE-Access-ECG.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=7444130\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2016\/02\/02\/selected-papers-journal-2016-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >NAND Flash Memory with Multiple Page Sizes for High Performance Storage Devices<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jin-Young Kim, Sang-Hoon Park, Hyeokjun Seo, Ki-Whan Song, Sungroh Yoon, and Eui-Young Chung, <em>IEEE Transactions on Very Large Scale Integration (VLSI) Systems<\/em>, vol. 24, no.2, pp. 764-768, February 2016.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2016.2-TVLSI.pdf\" target=\"_blank\" rel=\"\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?reload=true&amp;arnumber=7066966\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-826194el14\">#pt-cv-view-127f7e8a26 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-127f7e8a26 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-127f7e8a26 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-127f7e8a26  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-127f7e8a26  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-127f7e8a26 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-127f7e8a26 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-127f7e8a26 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414363\" data-id=\"6aa14db414363\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2015<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db41442b\" data-id=\"6aa14db41442b\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-c1d97f836e\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/08\/02\/selected-papers-conference-2014\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Analytical Model of SSD Parallelism<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jinsoo Yoo, Youjip Won, Sooyong Kang, Jongmoo Choi, Sungroh Yoon, and Jaehyuk Cha, in Proceedings of 4th International Conference on Simulation and Modeling Methodologies, Technologies, and Applications (SIMULTECH 2014) , Vienna, Austria, August 2014.<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/03\/02\/selected-papers-conference-2014-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CASPER: Context-Aware Scheme for Paired-End Read from High-Throughput Short-Read Amplicon Sequencing<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon, Byunghan Lee, and Sungroh Yoon, in Proceedings of 2014 RECOMB-Seq (Massively Parallel Sequencing) , Pittsburgh, USA, March 2014. [full paper published in BMC Bioinformatics]<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/01\/12\/selected-papers-conference-2014-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Ensemble Learning for Robust Prediction of microRNA-mRNA Interactions<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghak Yu, Juho Kim, Hyeyoung Min, and Sungroh Yoon, in Proceedings of the 2014 International Conference on Big Data and Smart Computing, Bangkok, Thailand, January 2014.<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/01\/02\/selected-papers-conference-2014-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Ensemble Algorithms for DNA Motif Finding<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Juho Kim, Seunghak Yu, and Sungroh Yoon,\u00a0in Proceedings of the 2014 International Conference on Electronics, Information and Communication, Kota Kinabalu, Malaysia, January 2014.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-00294e6n64\">#pt-cv-view-c1d97f836e .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-c1d97f836e .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-c1d97f836e .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-c1d97f836e  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-c1d97f836e  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-c1d97f836e .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-c1d97f836e .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-c1d97f836e { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-350f630ae9\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/12\/30\/selected-papers-journal-2014\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >IO Workload Characterization Revisited: A Data-Mining Approach<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Bumjoon Seo, Sooyong Kang, Jongmoo Choi, Jaehyuk Cha, Youjip Won, and Sungroh Yoon, IEEE Transactions on Computers, vol. 63, no. 12, pp. 3026-3038, December 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.12-TCOM-IO.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6598677\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/10\/30\/selected-papers-journal-2014-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Ensemble learning can significantly improve human microRNA target prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghak Yu, Juho Kim, Hyeyoung Min, and Sungroh Yoon, Methods, vol. 69, no. 3, pp. 220-229, October 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.10-Methods.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1046202314002552\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/09\/02\/selected-papers-journal-2014-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >CASPER: Context-Aware Scheme for Paired-End Read from High-Throughput Short-Read Amplicon Sequencing<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon, Byunghan Lee, and Sungroh Yoon, BMC Bioinformatics , vol. 15, no. suppl 9, p. S10, September 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.9-BMC-casper.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.biomedcentral.com\/1471-2105\/15\/S9\/S10\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/08\/02\/selected-papers-journal-2014-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >The Use of Exome Genotyping to Predict Pathological Gleason Score Upgrade after Radical Prostatectomy in Low-Risk Prostate Cancer Patients<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Gheeyoung Choe, Sungroh Yoon, and Seok-soo Byun, PLOS ONE, vol. 9, no. 8, e104146, August 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.8-PLOS-ONE.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.plosone.org\/article\/info%3Adoi%2F10.1371%2Fjournal.pone.0104146\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/05\/02\/selected-papers-journal-2014-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Macro and Small over Micro: Macromolecules and Small Molecules that Regulate microRNAs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Soowon Kang, Kyungtaek Im, Jihae Baek, Sungroh Yoon, and Hyeyoung Min, ChemBioChem, vol. 15, no. 8, pp. 1071-1078, May 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.5-ChemBioChem.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/cbic.201402007\/abstract\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/04\/02\/selected-papers-journal-2014-6\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Standardization of RNA chemical mapping experiments<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Wipapat Kladwang, Thomas H. Mann, Alex Becka, Siqi Tian, Hanjoo Kim, Sungroh Yoon, and Rhiju Das, Biochemistry, vol. 53, no. 19, pp. 3063-3065, April 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.4-BioChem.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/pubs.acs.org\/doi\/abs\/10.1021\/bi5003426\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/03\/02\/selected-papers-journal-2014-7\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Design of a Bitmap-based QoS-aware Memory Controller for a Packet Memory<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghak Yu, Sungroh Yoon, Eui-Young Chung, and Hyuk-Jun Lee, Electronics Express, vol. 11, no. 5, pp. 1-12, March 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.3-ELEX.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.jstage.jst.go.jp\/article\/elex\/11\/5\/11_11.20130983\/_article\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2014\/02\/02\/selected-papers-journal-2014-8\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >RNA Design Rules from a Massive Open Laboratory<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jeehyung Lee, Wipapat Kladwang, Minjae Lee, Daniel Cantu, Martin Azizyan, Hanjoo Kim, Alex Limpaecher, Snehal Gaikwad, Sungroh Yoon, Adrien Treuille, and Rhiju Das, Proceedings of the National Academy of Sciences of the United States of America (PNAS), vol. 111, no. 6, pp. 2122-2127, February 2014.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.2-PNAS.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.pnas.org\/content\/111\/6\/2122.short\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-a539478kt9\">#pt-cv-view-350f630ae9 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-350f630ae9 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-350f630ae9 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-350f630ae9  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-350f630ae9  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-350f630ae9 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-350f630ae9 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-350f630ae9 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414541\" data-id=\"6aa14db414541\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2014<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414605\" data-id=\"6aa14db414605\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/arxiv\/'>arXiv<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-9780e7d714\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/11\/30\/selected-papers-arxiv-2015\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Manifold Regularized Deep Neural Networks using Adversarial Examples<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee, Minsuk Choi, and Sungroh Yoon, arXiv:1511.06381 [cs.LG], November 2015.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/1511.06381v1.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1511.06381\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-a241807uki\">#pt-cv-view-9780e7d714 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-9780e7d714 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-9780e7d714 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-9780e7d714  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-9780e7d714  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-9780e7d714 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-9780e7d714 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-9780e7d714 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-66869fc854\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/12\/22\/selected-papers-conference-2015\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byunghan Lee, Taehoon Lee, Byunggook Na, and Sungroh Yoon, in NIPS Workshop on Machine Learning in Computational Biology\/Systems Biology, Montreal, Canada, December 2015.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/1512.05135v1.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/mlcb.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/12\/02\/selected-papers-conference-2015-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Distributed Ensemble Learning for Analyzing Nationwide Health-Insurance Databases<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Heonseok Ha, Jinkyu Kim, Jaehong Park and Sungroh Yoon, in NIPS Workshop on Machine Learning in Machine Learning for Healthcare, Montreal, Canada, December 2015.<br \/>\n<a href=\"https:\/\/sites.google.com\/site\/nipsmlhc15\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/11\/02\/selected-papers-conference-2015-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jaekoo Lee, Gunn Kim, and Sungroh Yoon, in Proceedings of IEEE International Conference on Data Mining (ICDM), pp. 829-834, Atlantic City, New Jersey, USA, November 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/03\/2015.11-ICDM.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/icdm2015.stonybrook.edu\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/10\/30\/selected-papers-conference-2015-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Big\/Little Deep Neural Network for Ultra Low-Power Inference<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Sungroh Yoon, Gunhee Kim, and Sungjoo Yoo, in Proceedings of International Conference on Hardware\/Software Codesign and System Synthesis (CODES+ISSS), pp. 124-132, Amsterdam, The Netherlands, October 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2015.CODES_.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/esweek.acm.org\/codesisss\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/10\/29\/selected-papers-conference-2015-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >FingerNet: Deep Learning-Based Robust Finger Joint Detection from Radiographs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungmin Lee, Minsuk Choi, Hyun-Soo Choi, and Sungroh Yoon, in Proceedings of IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 619-622, Atlanta, Georgia, USA, October 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2015.Biocas.smlee_.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/biocas2015.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/10\/18\/selected-papers-conference-2015-6\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Wearable and Wireless Measurement System for Evaluating Penile Tumescence<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungwoon Choi, Seijoon Kim, Jae Young Park, and Sungroh Yoon, in Proceedings of IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 37-40, Atlanta, Georgia, USA, October 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2015.Biocas.swchoi.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/biocas2015.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/10\/17\/selected-papers-conference-2015-7\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Computational Prediction of Competitive Endogenous RNA<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghyun Park, Soowon Kang, Hyeyoung Min, and Sungroh Yoon, in Proceedings of IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 382-385, Atlanta, Georgia, USA, October 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2015.Biocas.shpark.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/biocas2015.org\/\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/07\/02\/selected-papers-conference-2015-8\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee and Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Lille, France, July 2015.<br \/>\n<a href=\"http:\/\/jmlr.org\/proceedings\/papers\/v37\/leeb15.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/icml.cc\/2015\/?page_id=825#DeepLearning\u00a0III\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/06\/02\/selected-papers-conference-2015-9\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Execution Time Modeling for Heterogeneous Computing System<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeokjun Seo, Eui-Young Chung, and Sungroh Yoon, \u00a0in Proceedings of the 30th International Technical Conference on Circuits\/Systems, Computers and Communications, Seoul, Korea, June 2015.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-097e168sn2\">#pt-cv-view-66869fc854 .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-66869fc854 .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-66869fc854 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-66869fc854  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-66869fc854  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-66869fc854 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-66869fc854 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-66869fc854 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-1ff07b4f6a\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/09\/12\/selected-papers-journal-2015-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Automated band annotation for RNA structure probing experiments with numerous capillary electrophoresis profiles<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seungmyung Lee, Hanjoo Kim, Siqi Tan, Taehoon Lee, Sungroh Yoon, and Rhiju Das, Bioinformatics, vol. 31, no. 17, pp. 2808-2815, September 2015.<br \/>\n<a href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/31\/17\/2808.full.pdf+html\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/31\/17\/2808\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/31\/17\/2808\/suppl\/DC1\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/09\/02\/selected-papers-journal-2015-2-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Multi-threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yongkweon Jeon and Sungroh Yoon, IEEE Transactions on Parallel and Distributed Systems, vo. 26, no. 9, pp. 2534-2548, September 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2015.9-TPDS.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?tp=&amp;arnumber=6893001\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2014.9-TPDS-suppl.pdf\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/08\/02\/selected-papers-journal-2015-3-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Genome-wide detection of allelic genetic variation to predict biochemical recurrence after radical prostatectomy among prostate cancer patients using an exome SNP chip<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Hak Min Lee, Jung Keun Lee, Jin-Nyoung Ho, Sungroh Yoon, and Seok-Soo Byun, Journal of Cancer Research and Clinical Oncology, vol. 141, no. 8, pp. 1493-1501, August 2015.<br \/>\n<a href=\"http:\/\/link.springer.com\/content\/pdf\/10.1007%2Fs00432-015-1947-9.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/link.springer.com\/article\/10.1007%2Fs00432-015-1947-9\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/03\/02\/selected-papers-journal-2015-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >High-dimensional Fused Lasso Regression using Majorization-Minimization and Parallel Processing<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Donghyeon Yu, Joong-Ho Won, Taehoon Lee, Johan Lim, and Sungroh Yoon,\u00a0Journal of Computational and Graphical Statistics, vol. 24, no. 1, pp. 121-153, March 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2015.3-JCGS.pdf\" target=\"_blank\">paper<\/a> \u00a0<a href=\"http:\/\/www.tandfonline.com\/doi\/full\/10.1080\/10618600.2013.878662\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/03\/02\/selected-papers-journal-2015-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Design Trade-Offs of SSDs: from Energy Consumption&#8217;s Perspective<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seokhei Cho, Changhyun Park, Youjip Won, Sooyong Kang, Jaehyuk Cha, Sungroh Yoon, and Jongmoo Choi, ACM Transactions on Storage, vol. 11, no. 2, article 8, March 2015.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2015.3-TOS.pdf\" target=\"_blank\">paper<\/a> \u00a0<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2644818&amp;CFID=507321177&amp;CFTOKEN=89828355\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/01\/02\/selected-papers-journal-2015-6\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Google unveils a glimpse of allergic rhinitis in the real world<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Min-Gyu Kang, Woo-Jung Song, Sungwoon Choi, Hanjoo Kim, Heonseok Ha, Sae-Hoon Kim, Sang-Heon Cho, Kyung-Up Min, Sungroh Yoon, and Yoon-Seok Chang, Allergy, vol. 70, no. 1, pp. 124-128, January 2015.<br \/>\n<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/all.12528\/pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/all.12528\/abstract;jsessionid=F18970B70798309462BF7B6A201197C4.f02t01\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-f504c79z4q\">#pt-cv-view-1ff07b4f6a .pt-cv-content-item { margin-bottom: 10px !important; }\n#pt-cv-view-1ff07b4f6a .pt-cv-specialp * { font-size: 13px !important; }\n#pt-cv-view-1ff07b4f6a .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1ff07b4f6a  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-1ff07b4f6a  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1ff07b4f6a .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-1ff07b4f6a .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1ff07b4f6a { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db41472c\" data-id=\"6aa14db41472c\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2013<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4147f9\" data-id=\"6aa14db4147f9\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-5c92821e1c\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/07\/23\/selected-papers-conference-2013\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >In-Depth Analysis of Interrelation between Quality Scores and Real Errors in Illumina Reads<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunyoung Kwon, Seunghyun Park, Byunghan Lee, and Sungroh Yoon, in Proceedings of IEEE 35th Annual International Conference on Engineering in Medicine and Biology, Osaka, Japan, July 2013.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2013-EMBS-In-depth.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/24109767\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/07\/22\/selected-papers-conference-2013-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Robust Classification of DNA Damage Patterns in Single Cell Gel Electrophoresis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Chanil CHung, Jay Junkeun Chang, Hyeyoung Min, and Sungroh Yoon, in Proceedings of IEEE 35th Annual International Conference on Engineering in Medicine and Biology, Osaka, Japan, July 2013.<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/07\/21\/selected-papers-conference-2013-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Graph-Based Binning Method for Clustering 16s rRNA Sequences into OTUs<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyun-Soo Choi, Seunghyun Park, Chulwoo Kim, and Sungroh Yoon, in Proceedings of the 28th International Technical Conference on Circuits\/Systems, Computers and Communications, Yeosu, Korea, July 2013.<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/07\/20\/selected-papers-conference-2013-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Tree-Based Comparison and Classification of RNA Secondary Structure<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hanjoo Kim, Sungwoon Choi, Chulwoo Kim, and Sungroh Yoon, in Proceedings of the 28th International Technical Conference on Circuits\/Systems, Computers and Communications, Yeosu, Korea, July 2013.<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/05\/03\/selected-papers-conference-2013-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >VSSIM: Virtual Machine Based SSD Simulator<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jinsoo Yoo, Youjip Won, Joongwoo Hwang, Sooyong Kang, Jongmoo Choi, Sungroh Yoon, and Jaehyuk Cha, in Proceedings of the 2013 Conference on Mass Storage Systems and Technologies (MSST13), Long Beach, USA, May 2013.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-dc14e34pyq\">#pt-cv-view-5c92821e1c .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-5c92821e1c  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-5c92821e1c  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-5c92821e1c .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-5c92821e1c .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-5c92821e1c { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-d77430c16c\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/09\/03\/selected-papers-journal-2013\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >GPU-Based Acceleration of an RNA Tertiary Structure Prediction Algorithm<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yongkweon Jeon, Eesuk Jung, Hyeyoung Min, Eui-Young Chung, and Sungroh Yoon, Computers in Biology and Medicine, vol. 43, no. 8, pp. 1011-1022, September 2013.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2013.7-CompBM-FARNA.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010482513001236\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/07\/03\/selected-papers-journal-2013-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >HiTRACE-Web: an Online Tool for Robust Analysis of High-Throughput Capillary Electrophoresis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hanjoo Kim, Pablo Cordero, Rhiju Das, and Sungroh Yoon, Nucleic Acids Research, vol. 41, no. W1, pp. W492-498, July 2013.<br \/>\n<a href=\"http:\/\/nar.oxfordjournals.org\/content\/41\/W1\/W492.full.pdf+html\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/nar.oxfordjournals.org\/content\/41\/W1\/W492\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/hitrace.org\/\" target=\"_blank\">server<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/01\/23\/selected-papers-journal-2013-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Yongkweon Jeon, Joong-Ho Won and Sungroh Yoon, IEEE Transactions on Biomedical Engineering, vol. 60, no. 1, pp. 240-244, Jaunary 2013.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2013.1-TBME-USIV.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6276243\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/01\/20\/selected-papers-journal-2013-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jinkyu Kim, Gunn Kim, Sungbae An, Young-Kyun Kwon and Sungroh Yoon, PLOS ONE, vol. 8, no. 1, e51986, January 2013.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2013.1-PLOS-ONE.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.plosone.org\/article\/info%3Adoi%2F10.1371%2Fjournal.pone.0051986\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2013\/01\/03\/selected-papers-journal-2013-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Uncluttered Single-Image Visualization of Vascular Structures using GPU and Integer Programming<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin and Sandy Napel, IEEE Transactions on Visualization and Computer Graphics, vol. 19, no. 1, pp. 81-93, January 2013.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2013.1-TVCG-USIV.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6143935&amp;tag=1\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/www.computer.org\/cms\/Computer.org\/dl\/trans\/tg\/2013\/01\/extras\/ttg2013010081s.pdf\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-c19ce8ex6c\">#pt-cv-view-d77430c16c .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-d77430c16c  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-d77430c16c  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-d77430c16c .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-d77430c16c .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-d77430c16c { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db41490b\" data-id=\"6aa14db41490b\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2012<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db4149d0\" data-id=\"6aa14db4149d0\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-73deaf595f\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2012\/12\/24\/selected-papers-conference-2012\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byunghan Lee, Joonhong Park, and Sungroh Yoon, in Proceedings of IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium, December 2012.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2012.12-ICDM-metagenomics.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6413826\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2012\/12\/14\/selected-papers-conference-2012-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Influence of Number of Channels and FTL on SSD Power Consumption<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seokhei Cho, Youjip Won, Sooyong Kang, Jaehyuk Cha, Jongmoo Choi and Sungroh Yoon, in Proceedings of 2012 International Conference of Electrical, Computer, Electronics and Biomedical Engineering (ICECEBE2012), Bangkok, Thailand, December 2012.<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2012\/04\/04\/selected-papers-conference-2012-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Deduplication in SSDs: Model and Quantitative Analysis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jonghwa Kim, ChoongHyun Lee, Ikjoon Son, Jongmoo Choi, Sungroh Yoon, Hu-ung Lee, Sooyong Kang, Youjip Won and Jaehyuk Cha, in Proceedings of the 2012 Conference on Mass Storage Systems and Technologies (MSST12), Pacific Grove, USA, April 2012.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-f3090f5bq8\">#pt-cv-view-73deaf595f .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-73deaf595f  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-73deaf595f  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-73deaf595f .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-73deaf595f .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-73deaf595f { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-3d54937855\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2012\/09\/04\/selected-papers-journal-2012\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jae-Beom Lee, Myoung-Jin Kim, Sungroh Yoon, and Eui-Young Chung, IEEE Transactions on Computers, vol. 61, no. 9, pp. 1256-1269, September 2012.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2012.9-TCOM-PF.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?tp=&amp;arnumber=5975143\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2012\/05\/04\/selected-papers-journal-2012-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Can the Prostate Risk Calculator Based on Western Population be Applied to Asian Population?<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Duck Ki Yoon, Jae Young Park, Sungroh Yoon, Man Sik Park, Du Geon Moon, and Fritz H. Schr\u00f6der, The Prostate, vol. 72, no. 7, pp. 721-729, May 2012.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2012.5-Prostate.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/pros.21475\/abstract;jsessionid=3EA6638AFCF4ED819E1D5FA62DADFEA4.d03t04\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/PCRC\/RISC\/Home.html\" target=\"_blank\">server<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2012\/03\/04\/selected-papers-journal-2012-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >vHoT: a Database for Predicting Inter-Species Iteractions between Viral microRNA and Host Genomes<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hanjoo Kim, Seunghyun Park, Hyeyoung Min, and Sungroh Yoon, Archives of Virology, vol. 157, no. 3, pp. 497-501, March 2012.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2012.3-AVIR-vhot.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/link.springer.com\/article\/10.1007%2Fs00705-011-1181-y\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/vhot\/\" target=\"_blank\">server<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-f8d441ds50\">#pt-cv-view-3d54937855 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-3d54937855  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-3d54937855  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-3d54937855 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-3d54937855 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-3d54937855 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414ae7\" data-id=\"6aa14db414ae7\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2011<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414ba9\" data-id=\"6aa14db414ba9\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-0c3f2b9ead\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/06\/04\/selected-papers-conference-2011\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >SSD Characterization: From Energy Consumption&#8217;s Perspective<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Balgeun Yoo, Youjip Won, Seokhei Cho, Sooyong Kang, Jongmoo Choi and Sungroh Yoon, in Proceedings of 3rd USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage &#8217;11), Portland, USA, June 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.6-USENIX-SSD-Power.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/dl.acm.org\/citation.cfm?id=2002218.2002221\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-72d0d22fzr\">#pt-cv-view-0c3f2b9ead .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-0c3f2b9ead  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-0c3f2b9ead  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-0c3f2b9ead .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-0c3f2b9ead .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-0c3f2b9ead { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-891d944c00\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/07\/24\/selected-papers-journal-2011\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >HiTRACE: High-throughput robust analysis for capillary electrophoresis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, Jinkyu Kim, Justine Hum, Hanjoo Kim, Seunghyun Park, Wipapat Kladwang and Rhiju Das, Bioinformatics, vol. 27, no. 13, pp. 1798-1805, July 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.7-Bioinformatics-HiTRACE.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/27\/13\/1798.abstract\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/hitrace.stanford.edu\/\" target=\"_blank\">code<\/a>\u00a0\u00a0<a href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/suppl\/2011\/05\/13\/btr277.DC1\/supplement.pdf\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/07\/23\/selected-papers-journal-2011-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Buffer Controller Based Multiple Processing Element Utilization for Dataflow Synthesis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Woohyung Chun, Sungroh Yoon and Sangjin Hong, IEEE Transactions on Very Large Scale Integration Systems, vol. 19, no. 7, pp. 1249-1262, July 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.7-TVLSI-multiple.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?tp=&amp;arnumber=5471062\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/07\/21\/selected-papers-journal-2011-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Verification Methodology for the IMT-Advanced Channel Simulator<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Kyung-Won Kim, Jae-Joon Park, Sungroh Yoon and Seong-Jun Oh, Electronics Express, vol. 8, no. 13, pp. 994-1000, July 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.7-ELEX-sjoh.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.jstage.jst.go.jp\/article\/elex\/8\/13\/8_13_994\/_article\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/05\/14\/selected-papers-journal-2011-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Energy-Aware Interconnect Resource Reduction through Buffer Access Manipulation for Data-Centric Applications<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Woohyung Chun, Sungroh Yoon and Sangjin Hong, IEEE Transactions on Very Large Scale Integration Systems, vol. 19, no. 5, pp. 818-831, May 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.5-TVLSI-energy.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=5437217\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/05\/04\/selected-papers-journal-2011-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Constructing Accurate Contact Maps for Hydroxyl Radical Cleavage Based High-Throughput RNA Structure Inference<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jinkyu Kim, Hanjoo Kim, Hyeyoung Min and Sungroh Yoon, IEEE Transactions on Biomedical Engineering, vol. 58, no. 5, pp. 1347-1355, May 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.5-TBME-mohca.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=5705566\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/cmap\/\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/01\/14\/selected-papers-journal-2011-6\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Initial biopsy outcome prediction in Korean patients &#8211; comparison of a noble web-based Korean prostate cancer risk calculator versus prostate-specific antigen testing<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jae Young Park, Sungroh Yoon, Man Sik Park, Dae-Yeon Cho, Hong-Seok Park, Du Geon Moon and Duck Ki Yoon, JKMS, vol. 26, no. 1, pp. 85-91, January 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.1-JKMS-urology.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/jkms.org\/DOIx.php?id=10.3346\/jkms.2011.26.1.85\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/PCRC\/\" target=\"_blank\">server<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2011\/01\/04\/selected-papers-journal-2011-7\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Fast sort of floating-point data for data engineering<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Changsoo Kim, Sungroh Yoon and Dongseung Kim, Advances in Engineering Software, vol. 42, no. 1-2, pp. 50-54, January-February 2011.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2011.1-FastSort-Elsevier.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0965997810001511\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-4ae82edgar\">#pt-cv-view-891d944c00 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-891d944c00  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-891d944c00  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-891d944c00 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-891d944c00 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-891d944c00 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414cba\" data-id=\"6aa14db414cba\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2010<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414d7d\" data-id=\"6aa14db414d7d\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-41aa38bae9\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2010\/03\/04\/selected-papers-conference-2010\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Exploiting Multiple Switch Libraries in Topology Synthesis of On-Chip Interconnection Network<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Minje Jun, Sungroh Yoon and Eui-Young Chung, in Proceedings of Design, Automation and Test in Europe (DATE), pp. 1390-1395, Dresden, Germany, March 2010.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-7b56f46hes\">#pt-cv-view-41aa38bae9 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-41aa38bae9  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-41aa38bae9  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-41aa38bae9 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-41aa38bae9 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-41aa38bae9 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-1be0dc2f67\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2010\/09\/24\/selected-papers-journal-2010\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Application of maximin correlation analysis to classifying protein environments for function prediction<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee, Hyeyoung Min, Seung Jean Kim and Sungroh Yoon, Biochemical and Biophysical Research Communications, vol. 400, no. 2, pp. 219-224, September 2010.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2010.9-BBRC-MCA.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0006291X10015378\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/mca\/\" target=\"_blank\">suppl<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2010\/09\/23\/selected-papers-journal-2010-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Support vector machine based classification of 3-dimensional protein physicochemical environments for automated function annotation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeyoung Min, Seunghak Yu, Taehoon Lee and Sungroh Yoon, Archives of Pharmacal Research, vol. 33, no. 9, pp. 1451-1459, September 2010.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2010.9-APR-feature.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/link.springer.com\/article\/10.1007%2Fs12272-010-0920-z\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2010\/08\/04\/selected-papers-journal-2010-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Concurrent simulation platform for energy-aware smart metering systems<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Seunghyun Park, Hanjoo Kim, Hichan Moon, Jun Heo and Sungroh Yoon, IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1918-1926, August 2010.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2010.8-TCE-simulator.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=5606347\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2010\/07\/04\/selected-papers-journal-2010-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Architecture Exploration of High-Performance PCs with a Solid-State Disk<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Dong Kim, Kwanhu Bang, Seung-Hwan Ha, Sungroh Yoon and Eui-Young Chung, IEEE Transactions on Computers, vol. 59, no. 7, pp. 878-890, July 2010.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2010.7-TCOM-SSD.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?tp=&amp;arnumber=5438986\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2010\/04\/04\/selected-papers-journal-2010-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Got target?: Computational methods for microRNA target prediction and their extension<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hyeyoung Min and Sungroh Yoon,\u00a0Experimental and Molecular Medicine, vol. 42, no. 4, pp. 234-244, April 2010.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2010.4-EMM-got-target.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.nature.com\/emm\/journal\/v42\/n4\/full\/emm201025a.html\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2010\/02\/04\/selected-papers-journal-2010-6\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Numerically Efficient Algorithm for Modified Trellis Approaches<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Hichan Moon and Sungroh Yoon, IEEE Transactions on Communications, vol. 58, no. 2, pp. 385-389, February 2010.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/wp-content\/uploads\/2016\/01\/2010.2-TCOMM-trellis.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=5407596\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-e3649ebn5f\">#pt-cv-view-1be0dc2f67 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1be0dc2f67  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-1be0dc2f67  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1be0dc2f67 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-1be0dc2f67 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1be0dc2f67 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414e94\" data-id=\"6aa14db414e94\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">2009<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db414f5a\" data-id=\"6aa14db414f5a\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-482b2e4b10\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/01\/04\/selected-papers-conference-2009\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Performance Analysis of Network Coding with Rapter Codes for Multimedia Broadcast Services<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Kwangseok Noh, Sungroh Yoon and Jun Heo, in Proceedings of International Conference on Consumer Electronics, pp. 1-2, Las Vegas, USA, January 2009.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-a5f2718qyu\">#pt-cv-view-482b2e4b10 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-482b2e4b10  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-482b2e4b10  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-482b2e4b10 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-482b2e4b10 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-482b2e4b10 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-eee823f823\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/12\/04\/selected-papers-journal-2009\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Stochastic Modeling and Concurrent Simulation of the Game of Golf<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, Seil Lee and Seong-Jun Oh, ETRI Journal, vol. 31, no. 6, pp. 809-811, December 2009.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20ETRI-golf.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/etrij.etri.re.kr\/Cyber\/servlet\/BrowseAbstract?vol=31&amp;num=06&amp;pg=809\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/11\/04\/selected-papers-journal-2009-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Nonlinear Preprocessing Method for Detecting Peaks from Gas Chromatograms<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Byonghyo Shim, Hyeyoung Min and Sungroh Yoon, BMC Bioinformatics, vol. 10, no. 1, p. 378, November 2009.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20BMC-peak.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/www.biomedcentral.com\/1471-2105\/10\/378\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/gcpeak\/\" target=\"_blank\">code<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/10\/04\/selected-papers-journal-2009-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Good Puncturing Scheme for Rate Compatible Low-Density Parity-Check Codes<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sunghoon Choi, Sungroh Yoon, Wonjin Sung, Hongkyu Kwon and Jun Heo, Journal of Communications and Networks, vol. 11, no. 5, pp. 456-464, October 2009.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20JCN.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6388389\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/09\/04\/selected-papers-journal-2009-6\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >High-Speed Post-Layout Logic Simulation Using Quasi-Static Clock Event Evaluation<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Myeong-Jin Kim, Eui-Young Chung and Sungroh Yoon, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 28, no. 8, pp. 1274-1278, August 2009.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20TCAD-clocktree.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?reload=true&amp;arnumber=5166544\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/05\/04\/selected-papers-journal-2009-7\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A Robust Peak Detection Method for RNA Structure Inference by High-Throughput Contact Mapping<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Jinkyu Kim, Seunghak Yu, Byonghyo Shim, Hanjoo Kim, Hyeyoung Min, Eui-Young Chung, Rhiju Das and Sungroh Yoon, Bioinformatics, vol. 25, no. 9, pp. 1137-1144, May 2009. <a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20Bioinformatics-MOHCA.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/25\/9\/1137\" target=\"_blank\">link<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20Bioinformatics-MOHCA-supplement.pdf\" target=\"_blank\">suppl<\/a>\u00a0\u00a0<a href=\"http:\/\/data.snu.ac.kr\/pub\/mohca\/\" target=\"_blank\">code<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/02\/04\/selected-papers-journal-2009-8\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Performance Analysis of Network Coding with Raptor Codes for IPTV<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Kwangseok Noh, Sungroh Yoon and Jun Heo, IEEE Transactions on Consumer Electronics, vol. 55, no. 1, pp. 83-87, February 2009.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20TCE-raptor.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=4814418\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/01\/04\/selected-papers-journal-2009-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sung-Yong Bang, Kwanhu Bang, Sungroh Yoon and Eui-Young Chung, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 28, no. 9, pp. 1334-1347, September 2009.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20TCAD-kalman.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=5208582\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2009\/01\/04\/selected-papers-journal-2009-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >K-Maximin Clustering: A Maximin Correlation Approach to Partition-Based Clustering<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Taehoon Lee, Seung Jean Kim, Eui-Young Chung and Sungroh Yoon, Electronics Express, vol. 6, no. 17, pp. 1205-1211, September 2009.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2009%20Elex-k-maximin.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"https:\/\/www.jstage.jst.go.jp\/article\/elex\/6\/17\/6_17_1205\/_article\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-16ecf83fr5\">#pt-cv-view-eee823f823 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-eee823f823  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-eee823f823  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-eee823f823 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-eee823f823 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-eee823f823 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db41506c\" data-id=\"6aa14db41506c\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_text_column wpb_content_element \">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<h4 class=\"pub years\" style=\"text-align: right;\">~\u00a02009<\/h4>\n\n\t\t<\/div>\n\t<\/div>\n<div class=\"ult-spacer spacer-6aa14db41512e\" data-id=\"6aa14db41512e\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/conference\/'>Conference<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-e5fe2d4c59\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2008\/05\/12\/selected-papers-conference-2004-2008\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Parallel External Sort of Floating-Point Data by Integer Conversion<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Changsoo Kim, Sungroh Yoon and Dongseung Kim, in <em>Proceedings of Applied Computing Conference<\/em>, pp. 120-123, Istanbul, Turkey, May 2008.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-cb30085hp8\">#pt-cv-view-e5fe2d4c59 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e5fe2d4c59  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-e5fe2d4c59  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e5fe2d4c59 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-e5fe2d4c59 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-e5fe2d4c59 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><h3 class='pt-cv-term-heading'><a href='https:\/\/data.snu.ac.kr\/index.php\/category\/journal\/'>Journal<\/a><\/h3><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-ffb79954ef\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2007\/07\/12\/selected-papers-journal-2004-2008-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Co-clustering: A Versatile Tool for Data Analysis in Biomedical Informatics<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, Luca Benini and Giovanni De Micheli, <em>IEEE Transactions on Information Technology in Biomedicine<\/em>, vol. 11, no. 4, pp. 493-494, July 2007.<br \/>\n<a class=\"LinkWhite\" href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2007%20TITB.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a class=\"LinkWhite\" href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=4267695\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2007\/05\/12\/selected-papers-journal-2004-2008-3\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Clustering Protein Microenvironments for Function Prediction: Finding PROSITE motifs in 3D<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, Jessica Ebert, Eui-Young Chung, Giovanni De Micheli and Russ B. Altman, \u00a0<em>BMC Bioinformatics<\/em>, 2007, vol. 8, Suppl 4:S10, May 2007.<br \/>\n<a class=\"LinkWhite\" href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2007%20BMC-feature.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a class=\"LinkWhite\" href=\"http:\/\/www.biomedcentral.com\/1471-2105\/8\/S4\/S10\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2006\/11\/12\/selected-papers-journal-2004-2008-4\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A Variability-Insensitive Scheme for NAND Flash Memory Interfaces<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Chang-Il Sohn, Sungroh Yoon, Sung-Woo Chung, Chan-Ik Park and Eui-Young Chung,\u00a0<em>Electronics Letters<\/em>, vol. 42, no. 23, pp. 1335-1337, November 2006.<br \/>\n<a class=\"LinkWhite\" href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2006%20electronicsletters.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a class=\"LinkWhite\" href=\"http:\/\/digital-library.theiet.org\/content\/journals\/10.1049\/el_20062239\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2006\/06\/12\/selected-papers-journal-2004-2008-5\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Computational Methods for Identifying MicroRNAs and Their Targets<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon and Giovanni De Micheli,\u00a0<em>Birth Defects Research<\/em>, vol. 78, no. 2, pp. 118-128, June 2006.<br \/>\n<a class=\"LinkWhite\" href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2006%20BDR%20miRNA%20review.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a class=\"LinkWhite\" href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/bdrc.20067\/abstract\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2006\/02\/12\/selected-papers-journal-2004-2008-6\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A Pattern Mining Method for High-throughput Lab-on-a-Chip Data Analysis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, Luca Benini and Giovanni De Micheli,\u00a0<em>IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems<\/em>, vol. 25, no. 2, pp. 358-377, February 2006.<br \/>\n<a class=\"LinkWhite\" href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2006%20TCAD06.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a class=\"LinkWhite\" href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=1597367\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-12 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2005\/09\/12\/selected-papers-journal-2004-2008-8\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Prediction of Regulatory Modules Comprising microRNAs and Target Genes<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon and Giovanni De Micheli,\u00a0<em>Bioinformatics<\/em>, vol. 21, ii93-ii100, September 2005.<br \/>\n<a class=\"LinkWhite\" href=\"http:\/\/data.snu.ac.kr\/pub\/paper\/2005%20Bioinformatics-MRM.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a class=\"LinkWhite\" href=\"http:\/\/bioinformatics.oxfordjournals.org\/content\/21\/suppl_2\/ii93.abstract\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-0c66a16xdr\">#pt-cv-view-ffb79954ef .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-ffb79954ef  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-ffb79954ef  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-ffb79954ef .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-ffb79954ef .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-ffb79954ef { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 vc_custom_1449081995526 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db415358\" data-id=\"6aa14db415358\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"vc_tta-panel\" id=\"others\" data-vc-content=\".vc_tta-panel-body\"><div class=\"vc_tta-panel-heading\"><h4 class=\"vc_tta-panel-title\"><a href=\"#others\" data-vc-accordion data-vc-container=\".vc_tta-container\"><span class=\"vc_tta-title-text\">Others<\/span><\/a><\/h4><\/div><div class=\"vc_tta-panel-body\"><div class=\"vc_row wpb_row vc_inner vc_row-fluid boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 vc_custom_1449081995526 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db415499\" data-id=\"6aa14db415499\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449096345635 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db41552a\" data-id=\"6aa14db41552a\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db4155be\" data-id=\"6aa14db4155be\" data-height=\"20\" data-height-mobile=\"20\" data-height-tab=\"20\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\">\n\t<div class=\"wpb_raw_code wpb_content_element wpb_raw_html\">\n\t\t<div class=\"wpb_wrapper\">\n\t\t\t<div class=\"pt-cv-wrapper\"><div class=\"pt-cv-view pt-cv-grid pt-cv-colsys pt-cv-left\" id=\"pt-cv-view-1da13bbf70\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"col-md-12 col-sm-6 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/02\/03\/book-chapters-and-others-2015-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A High-Performance Solid-State Disk with Double-Data-Rate NAND Flash Memory<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Eui-Young Chung, Chang-Il Son, Kwanhu Bang, Dong Kim, and Sungroh Yoon, arXiv:1502.02239v1 [cs.AR], February 2015.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/1502.02239v1.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1502.02239\" target=\"_blank\">link <\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-6 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2015\/02\/03\/book-chapters-and-others-2015\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >FRAME: Fast and Realistic Attacker Modeling and Evaluation for Temporal Logic Correlation in Static Noise<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, Nahmsuk Oh, Peivand Tehrani, Eui-Young Chung, and Giovanni De Micheli, arXiv:1502.02236v1 [cs.OH], February 2015.<br \/>\n<a href=\"http:\/\/arxiv.org\/pdf\/1502.02236v1.pdf\" target=\"_blank\">paper<\/a>\u00a0\u00a0<a href=\"http:\/\/arxiv.org\/abs\/1502.02236\" target=\"_blank\">link <\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-6 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2006\/09\/03\/book-chapters-and-others-2006-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Technologies and Analysis Methods for Detecting Gene Expression by DNA Microarrays<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, IEEE Technology Survey, September 2006.<br \/>\n<a href=\"http:\/\/data.snu.ac.kr\/techno-survey\/index.htm\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-6 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2006\/01\/03\/book-chapters-and-others-2006\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >A Pattern Mining Method for High-throughput Lab-on-a-chip Data Analysis<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, Luca Benini and Giovanni De Micheli, in Krishnendu Chakrabarty and Jun Zeng, Editors, Design Automation Methods and Tools for Microfluidics-Based Biochips, Springer-Verlag, New York, 2006.<br \/>\n<a href=\"http:\/\/www.amazon.com\/Design-Automation-Methods-Microfluidics-Based-Biochips\/dp\/1402051220\/ref=sr_1_fkmr3_1?ie=UTF8&amp;qid=1371353391&amp;sr=8-1-fkmr3&amp;keywords=Design+Automation+Methods+and+Tools+for+Microfluidics-Based+Biochips\" target=\"_blank\">link<\/a><\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-6 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2002\/10\/03\/book-chapters-and-others-2002-2\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Defects vs. Faults: Some Data from the ELF35 and Murphy Chips<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Edward J. McCluskey, Ahmad Al-Yamani, James Chien-mo Li, Chao-wen Tseng, Erik Volkerink, Sungroh Yoon, Francois-Fabien Ferhani, Edward Li and Subhasish Mitra, Center for Reliable Computing Technical Report, Stanford University, October 2002.<\/p>\n<\/div><\/div><\/div>\n<div class=\"col-md-12 col-sm-6 col-xs-12 pt-cv-content-item pt-cv-1-col\" ><div class='pt-cv-ifield'><h4 class=\"pt-cv-title\"><a href=\"https:\/\/data.snu.ac.kr\/index.php\/2002\/05\/03\/book-chapters-and-others-2002\/\" class=\"pt-cv-none\" target=\"pt-cv-none\" >Testable Design of ELF13: 0.13\u03bcm Digital CMOS Circuits<\/a><\/h4>\n<div class=\"pt-cv-content\"><p>Sungroh Yoon, James Chien-mo Li and Edward J. McCluskey, Center for Reliable Computing Technical Report, Stanford University, May 2002.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>\t\t\t<style type=\"text\/css\" id=\"pt-cv-inline-style-fca0786p3k\">#pt-cv-view-1da13bbf70 .pt-cv-readmore  { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1da13bbf70  + .pt-cv-pagination-wrapper .pt-cv-more , #pt-cv-view-1da13bbf70  + .pt-cv-pagination-wrapper .pagination .active a { color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1da13bbf70 .pt-cv-gls-header  { background: #00aeef !important; }\n#pt-cv-view-1da13bbf70 .pt-cv-tao  { font-size: 20px !important; color: #ffffff !important; background: #00aeef !important; }\n#pt-cv-view-1da13bbf70 { text-align: left !important; }<\/style>\r\n\t\t\t\n\t\t<\/div>\n\t<\/div>\n<\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449095515700 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-3 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><div class=\"wpb_column vc_column_container vc_col-sm-9 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><\/div><\/div><\/div><div class=\"vc_row wpb_row vc_inner vc_row-fluid vc_custom_1449096345635 boomapps_vcrow\"><div class=\"wpb_column vc_column_container vc_col-sm-12 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db415776\" data-id=\"6aa14db415776\" data-height=\"60\" data-height-mobile=\"60\" data-height-tab=\"60\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><div class=\"lab-row-container vc_row wpb_row vc_row-fluid vc_custom_1448982061687 boomapps_vcrow\" ><div class=\"container lab-vc-container\"><div ><div class=\"wpb_column vc_column_container vc_col-sm-12 boomapps_vccolumn\"><div class=\"wpb_wrapper\"><div class=\"ult-spacer spacer-6aa14db4158d5\" data-id=\"6aa14db4158d5\" data-height=\"160\" data-height-mobile=\"160\" data-height-tab=\"160\" data-height-tab-portrait=\"\" data-height-mobile-landscape=\"\" style=\"clear:both;display:block;\"><\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"Publications Selected Papers (2018~)Selected Papers (prior to 2018)OthersSelected Papers (2018~) 2026 [pt_view id=\"b3cca387nh\"] [pt_view id=\"bb722can07\"] [pt_view id=\"4a96715lj5\"] 2025 [pt_view id=\"078dea5ekq\"] [pt_view id=\"7cc2437ps2\"] [pt_view id=\"dd60e33enu\"] 2024 [pt_view id=\"beeb97armz\"] [pt_view id=\"b1d4c0f8c3\"] [pt_view id=\"b999b29v9a\"] 2023 [pt_view id=\"3e98272kl8\"] [pt_view id=\"bb532b77q5\"] [pt_view id=\"27554aeknz\"] 2022 [pt_view id=\"86d7747xfb\"] [pt_view id=\"f1991f3vtj\"] [pt_view id=\"4183972vay\"] 2021 [pt_view id=\"8cf3036ya7\"] [pt_view id=\"820fd140me\"] [pt_view id=\"5a92cf2nyz\"] 2020 [pt_view id=\"098fdaaezf\"]&hellip;","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"footnotes":""},"class_list":["post-42","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages\/42","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/comments?post=42"}],"version-history":[{"count":7,"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages\/42\/revisions"}],"predecessor-version":[{"id":4634,"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/pages\/42\/revisions\/4634"}],"wp:attachment":[{"href":"https:\/\/data.snu.ac.kr\/index.php\/wp-json\/wp\/v2\/media?parent=42"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}