Publications – Data Science & Artificial Intelligence Laboratory

2021

Conference

Noise-Robust Deep Spiking Neural Networks with Temporal Information

Seongsik Park, Dongjin Lee, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, July 2021.
preprint link

Removing Undesirable Feature Contributions Using Out-of-Distribution Data

Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon, in Proceedings of International Conference on Learning Representations (ICLR), May 2021.
preprint link

Jihye Park, Jung Min Lim, Seok Jae Heo, Jinman Park, Yoojin Chang, Hui Kwon Kim, Dongmin Jung, Ji Hea Yu, Seonwoo Min, Sungroh Yoon, Sung-Rae Cho , Inkyung Jung, Taeyoung Park , Hyongbum Henry Kim, Cell, in press.
preprint link

DNA Privacy: Analyzing Malicious DNA Sequences using Deep Neural Networks

Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon, IEEE Transactions on Computational Biology and Bioinformatics, in press.
preprint link

Feature Concentration for Supervised and Semi-supervised Learning with Unbalanced Datasets in Visual Inspection

Jiyong Jang, Sungroh Yoon, IEEE Transactions on Industrial Electronics, in press.
preprint link

Imbalanced Data Classification via Cooperative Interaction between Classifier and Generator

Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon, IEEE Transactions on Neural Networks and Learning Systems, in press.
preprint link

Security and Privacy Issues in Deep Learning

Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon, under revision.
preprint arXiv

Predicting the efficiency of prime-editing guide RNAs in human cells

Hui Kwon Kim, GooSang Yu, Jinman Park, Seonwoo Min, Sungtae Lee, Sungroh Yoon, Hyongbum Henry Kim, Nature Biotechnology, in press.
paper link

Single-Image Deblurring with Neural Networks: A Comparative Survey

Jaihyun Koh, Jangho Lee, Sungroh Yoon, Computer Vision and Image Understanding, vol. 203, p. 103134, February 2021.
paper link

Gradient Masking of Label Smoothing in Adversarial Robustness

Hyungyu Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 9, pp. 6453-6464, January 2021.
paper link

Towards fast and accurate object detection in bio-inspired spiking neural networks through Bayesian optimization

Seijoon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon, IEEE Access, vol. 9, pp. 2633-2643, January 2021.
paper link

Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering

Seongsik Park, Jaehee Jang, Seijoon Kim, Byunggook Na, Sungroh Yoon, IEEE Transactions on Very Large Scale (VLSI) Integration Systems, vol. 29, no. 1, pp. 162-175, January 2021.
paper link

2020

arXiv

Momentum Contrast Speaker Representation Learning

Jangho Lee, Jaihyun Koh, Sungroh Yoon, arXiv:2010.11457 [eess.AS], June 2020.
paper link

Joint Contrastive Learning for Unsupervised Domain Adaptation

Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon, arXiv:2006.10297 [cs.CV], June 2020.
paper link

Conference

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon, in Proceedings of Neural Information Processing Systems (NeurIPS), December 2020.
preprint link arXiv code

NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity

Sang-gil Lee, Sungwon Kim, Sungroh Yoon, in Proceedings of Neural Information Processing Systems (NeurIPS), December 2020.
preprint link arXiv

Interpretation of NLP models through input marginalization

Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon, in Proceedings of Conference on Empirical Methods in Natural Language Processing (EMNLP), November 2020.
preprint link arXiv

Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation

Jihun Yi, Sungroh Yoon, in Proceedings of Asian Conference on Computer Vision (ACCV), November 2020.
preprint link arXiv

iCaps: An Interpretable Classifier via Disentangled Capsule Networks

Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon, in Proceedings of European Conference on Computer Vision (ECCV), Glasgow, UK, August 2020.
paper slides link arxiv suppl

Self-supervised Perceptual Motion Deblurring using a Conditional Generative Neural Network Guided by Optical Flow

Jaihyun Koh, Sungroh Yoon, Society for Information Display (SID) Display Week Symposium, San Jose, USA, August 2020.
preprint link

Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks

Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint link

Improving the accuracy of blood pressure prediction by distilling the knowledge of neural networks

Sanghyun Baek, Byunghan Lee, Sungroh Yoon, in Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 2020.
preprint link

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

Seongsik Park, Seijoon Kim, Byunggook Na, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), San Francisco, USA, July 2020.
preprint link

Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization

Saehyung Lee, Hyungyu Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 272-281, Seattle, USA, June 2020.
paper slides link arXiv suppl

Automated facies identification using unsupervised clustering

Youngjun Hong, Shinjo Wang, Jeehoon Bae, Jaeyoon Yoo, Sungroh Yoon, Offshore Technology Conference (OTC), Houston, USA, May 2020.
paper link

Energy-aware Placement for SRAM-NVM Hybrid FPGAs

Seongsik Park, Jongwan Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), pp. 858-863, Grenoble, France, March 2020.
paper link

Spiking-YOLO: Spiking Neural Network for Energy-efficient Object Detection

Seijoon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon, in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), vol. 34, no. 7, pp. 11270-11277, New York, USA, February 2020.
paper link arXiv

AnomiGAN: Generative adversarial networks for anonymizing private medical data

Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), vol. 25, pp. 563-574, Hawaii, USA, January 2020.
paper link arXiv

Journal

Development and validation of a next-generation sequencing-based multigene assay to predict the prognosis of estrogen receptor-positive, HER2-negative breast cancer

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, Clinical Cancer Research, vol. 26, no. 24, pp. 6513-6522, December 2020.
paper link

Prediction of the sequence-specific cleavage activity of Cas9 variants

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, Nature Biotechnology, vol. 38, no. 11, pp. 1328-1336, November 2020.
paper link

Sequence-specific prediction of the efficiencies of adenine and cytosine base editors

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, Nature Biotechnology, vol. 38, no. 9, pp. 1037-1043, September 2020.
paper link

The Message Passing Neural Networks for Chemical Property Prediction on SMILES

Jeonghee Jo, Bumju Kwak, Hyun-Soo Choi, Sungroh Yoon, Methods, vol. 179, pp. 65-72, July 2020.
paper link

Anomaly Detection by Learning Dynamics from a Graph

Jaekoo Lee, Ho Bae, Sungroh Yoon, IEEE Access, vol. 8, no. 1, pp. 64356-64365, March 2020.
paper link

High-throughput analysis of the activities of xCas9, SpCas9-NG and SpCas9 at matched and mismatched target sequences in human cells

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, Nature Biomedical Engineering, vol. 4, pp. 111-124, January 2020.
paper link

2019

arXiv

Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information

Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon, arXiv:1912.05625 [q-bio.BM], December 2019.
paper link

One-Shot Learning for Text-to-SQL Generation

Dongjun Lee, Jaesik Yoon, Jongyun Song, Sanggil Lee, Sungroh Yoon, arXiv:1905.11499 [cs.CL], May 2019.
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Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation

Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon, arXiv:1903.04860 [cs.LG], March 2019.
paper link

PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation

Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon, arXiv:1902.10905 [cs.MM], February 2019.
paper link

Conference

Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data

Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon, in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, USA, November 2019.
preprint link

Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in Proceedings of IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
paper link arXiv

Mutual Suppression Network for Video Prediction using Disentangled Features

Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon, in Proceedings of British Machine Vision Conference (BMVC), Cardiff, UK, September 2019.
paper arXiv arXiv

HexaGAN: Generative Adversarial Nets for Real World Classification

Uiwon Hwang, Dahuin Jung, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019.
paper slides link arXiv suppl

FloWaveNet: A Generative Flow for Raw Audio

Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Long Beach, CA, USA, June 2019.
paper link arXiv code demo

FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference

Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, June 2019.
paper link arXiv

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks

Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, in Proceedings of Design Automation Conference (DAC), Las Vegas, USA, June 2019.
paper link arXiv

Real-Time Anomalous Branch Behavior Detection with a GPU-Inspired Engine for Machine Learning Models

Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
preprint link

Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on FPGA

Seongsik Park, Jahee Jang, Seijoon Kim, Sungroh Yoon, in Proceedings of Design, Automation and Test in Europe (DATE), Florence, Italy, March 2019.
paper link arXiv code

DNA Steganalysis using Deep Recurrent Neural Networks

Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, in Proceedings of Pacific Symposium on Biocomputing (PSB), Hawaii, USA, January 2019.
paper link arXiv

Journal

End-to-End Blood Pressure Prediction via Fully Convolutional Networks

Sanghyun Baek, Jiyong Jang, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 185458-185468, December 2019.
paper link

SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance

Hui Kwon Kim, Younggwang Kim, Sungtae Lee, Seonwoo Min, Jung Yoon Bae, Jae Woo Choi, Jinman Park, Dongmin Jung, Sungroh Yoon, Hyongbum Henry Kim, Science Advances, Vol. 5, no. 11, p. eaax9249, November 2019.
paper link

Comprehensive Ensemble in QSAR Prediction for Drug Discovery

Sunyoung Kwon, Ho Bae, Junghee Jo, Sungroh Yoon, in BMC Bioinformatics, vol. 20, no. 1, p. 521, October 2019.
paper link

Learning-based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography

Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee-Eun Yoon, Inha Hwang, Dana Oh, Chang-ho Yoon, Sungroh Yoon, IEEE Access, vol. 7, no. 1, pp. 146390-146402, October 2019.
paper link

End-to-end Representation Learning for Chemical-Chemical Interaction Prediction

Sunyoung Kwon and Sungroh Yoon, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 16, no. 5, pp. 1436-1447, October 2019.
paper link

PuVAE: A Variational Autoencoder to Purify Adversarial Examples

Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho, IEEE Access, vol.7, no.1, pp.125682-126593, September 2019.
paper link arXiv

Pediatric Sleep Stage Classification using Multi-domain Hybrid Neural Networks

Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim, IEEE Access, vol. 7, no. 1, pp. 96495–96505, July 2019.
paper link

Electroencephalographic Resting-State Functional Connectivity of Benign Epilepsy with Centrotemporal Spikes

Hyun-Soo Choi, Yoon Ki Jung, So Youn Ahn, Sungroh Yoon, Hee Hwang, Hunmin Kim, Journal of Clinical Neurology, vol. 15, no. 2, pp. 211-220, April 2019.
paper link

Cracking the code of personalized medicine

Advertisement Feature (not a peer reviewed research article) in Nature Research, March 2019.
link

How Generative Adversarial Networks and Their Variants Work: An Overview

Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon, ACM Computing Surveys, vol. 52, no. 1, article 1, February 2019.
paper link arXiv

Changes in Lesional and Non-lesional Skin Microbiome During Treatment of Atopic Dermatitis

Sunyoung Kwon, Ji Young Choi, Jung-Won Shin, Chang-Hun Huh, Kyoung-Chan Park, Mi-Hee Du, Sungroh Yoon, Jung-Im Na, Acta Dermato-Venereologica, vol. 99, no. 3, pp. 284-290, February 2019.
paper link

MUGAN: Multi-GPU Accelerated AmpliconNoise Server for Rapid Microbial Diversity Assessment

Byunghan Lee, Hyeyoung Min, and Sungroh Yoon, Bioinformatics, in press.
preprint link

2018

arXiv

Security and Privacy Issues in Deep Learning

Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon, arXiv:1807.11655 [cs.CR], July 2018.
paper link

Robust Tumor Localization with Pyramid Grad-CAM

Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon, arXiv:1805.11393 [cs.CV], May 2018.
paper link

Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student

Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon, arXiv:1805.10768 [cs.AI], May 2018.
paper link

Conference

Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk

Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon, in Proceedings of the 5th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, December 2018.
preprint link

Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector

Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon, in Proceedings of the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , LNCS vol. 11071, pp. 693–701, Granada, Spain, September 2018.
paper link arXiv

XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography

Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon, in Proceedings of the 9th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), pp. 111-121, Washington DC, USA, August 2018.
paper link

Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models

Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek, Deep Learning and Security (DLS) Workshop, IEEE Symposium on Security and Privacy (S&P), San Francisco, USA, May 2018.
preprint link

Quantized Memory-Augmented Neural Networks

Seongsik Park, Seijoon Kim, Seil Lee, Ho Bae, and Sungroh Yoon, in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), pp.3909-3916, New Orleans, USA, February 2018.
paper suppl link arxiv

Reinforcement Learning based Recommender System using Biclustering Technique

Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon, in Proceedings of WSDM Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP), Los Angeles, USA, February 2018.
preprint link arxiv

Customization of IBM Intu’s Voice by Connecting Text-to-Speech Services and a Voice Conversion Network

Jongyoon Song, Hyunjae Kim, Jaekoo Lee, Euishin Choi, Minseok, Kim, Sungroh Yoon, in Proceedings of the Hawaii International Conference on System Sciences (HICSS), pp. 830-839, Waikoloa Village, USA, January 2018.
paper link

Journal

LncRNAnet: Long Noncoding RNA Identification using Deep Learning

Junghwan Baek, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon, Bioinformatics, vol. 34, no. 22, pp. 3889-3897, November 2018.
paper link

Deep Learning Based Low-cost High-accuracy Diagnostic Framework for Dementia Using Comprehensive Neuropsychological Assessment Profiles

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, BMC Geriatrics, vol. 18, no. 1, p. 234, October 2018.
paper link

CloudSocket: Fine-Grained Power Sensing System for Datacenters

Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Sungroh Yoon, IEEE Access, vol. 6, no. 1, pp. 49601-49610, September 2018.
paper link

Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity

Hui Kwon Kim, Seonwoo Min, Myungjae Song, Soobin Jung, Jae Woo Choi, Younggwang Kim, Sangeun Lee, Sungroh Yoon, Hyongbum Kim, Nature Biotechnology, vol. 36, no. 3, pp. 239-241, March 2018.
paper link code suppl

hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units based on Homopolymer Compaction

Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, and Sungroh Yoon, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 2, pp. 441-451, March/April 2018.
paper link

TensorLightning: A Traffic-efficient Distributed Deep Learning on Commodity Spark Clusters

Seil Lee, Hanjoo Kim, Jaehong Park, Jaehee Jang, Chang-Sung Jeong, Sungroh Yoon, IEEE Access, vol. 6, no. 1, pp. 27671-27680, May 2018.
paper link

HiComet: A High-Throughput Comet Analysis Tool for Large-Scale DNA Damage Assessment

Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, and Sungroh Yoon, BMC Bioinformatics, vol. 19(Suppl 1), no. 44, pp. 49-61, February 2018.
paper link

2017

arXiv

Autonomous UAV Navigation with Domain Adaptation

Jaeyoon Yoo, Yongjun Hong, Sungroh Yoon, arXiv:1712.03742 [cs.CV], December 2017.
paper link

Homomorphic Parameter Compression for Distributed Deep Learning Training

Jaehee Jang, Byungook Na, Sungroh Yoon, arXiv:1711.10123 [cs.DC], November 2017.
paper link

Disease Prediction from Electronic Health Records Using Generative Adversarial Networks

Uiwon Hwang, Sungwoon Choi, Sungroh Yoon, arXiv:1711.04126 [cs.LG], November 2017.
paper link

Polyphonic Music Generation with Sequence Generative Adversarial Networks

Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon, arXiv:1710.11418 [cs.SD], October 2017.
paper link

Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning

Jaeyoon Yoo, Heonseok Ha, Jihun Yi, Jongha Ryu, Chanju Kim, Jung-Woo Ha, Young-Han Kim, Sungroh Yoon, arXiv:1706.09200 [cs.IR], June 2017.
paper link

Building a Neural Machine Translation System Using Only Synthetic Parallel Data

Jaehong Park, Byunggook Na, and Sungroh Yoon, arXiv:1704.00253 [cs.CL], April 2017.
paper link

Conference

Deep Recurrent Neural Network-Based Identification of Precursor microRNAs

Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, and Sungroh Yoon, in Proceedings of the Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, USA, December 2017.
paper suppl link

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction

Sunyoung Kwon and Sungroh Yoon, in Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Boston, USA, August 2017.
preprint link arXiv

Near-Data Processing for Differentiable Machine Learning Models

Hyeokjun Choe, Seil Lee, Hyunha Nam, Seongsik Park, Seijoon Kim, Eui-Young Chung, and Sungroh Yoon, in Proceedings of the 33rd International Conference on Massive Storage Systems and Technology (MSST), Santa Clara, USA, May 2017.
paper link

Transfer Learning for Deep Learning on Graph-Structured Data

Jaekoo Lee, Hyunjae Kim, Jongsun Lee, and Sungroh Yoon, in Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), San Francisco, USA, February 2017.
paper link

Training IBM Watson using Automatically Generated Question-Answer Pairs

Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, and Sungroh Yoon, in Proceedings of the Hawaii International Conference on System Sciences (HICSS), pp. 1683-1691, Waikoloa Village, USA, January 2017.
paper link arXiv

Journal

A genetic variant in SLC28A3, rs56350726, is associated with progression to castration-resistant prostate cancer in a Korean population with metastatic prostate cancer

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, Oncotarget, vol. 8, no. 57, pp. 96893-96902, November 2017.
paper link

Large-Scale Structured Sparsity via Parallel Fused Lasso on Multiple GPUs

Taehoon Lee, Joong-Ho Won, Johan Lim, and Sungroh Yoon, Journal of Computational and Graphical Statistics, vol. 26, no. 4, pp. 851-864, October 2017.
paper link

Large-Scale Machine Learning of Media Outlets for Understanding Public Reactions to Nation-Wide Viral Infection Outbreaks

Sungwoon Choi, Jangho Lee, Min-Gyu Kang, Hyeyoung Min, Yoon-Seok Chang, and Sungroh Yoon, Methods, vol. 129, pp. 50-59, October 2017.
paper link

Machine Learning-Based Identification of Endogenous Cellular microRNA Sponges against Viral microRNAs

Soowon Kang, Seunghyun Park, Sungroh Yoon, and Hyeyoung Min, Methods, vol. 129, pp. 33-40, October 2017.
paper link

Deep Learning in Bioinformatics

Seonwoo Min, Byunghan Lee, and Sungroh Yoon, Briefings in Bioinformatics, vol. 18, no. 5, pp. 851-869, September 2017.
paper link arXiv

DUDE-Seq: Fast, Flexible, and Robust Denoising for Targeted Amplicon Sequencing

Byunghan Lee, Taesup Moon, Sungroh Yoon, and Tsachy Weissman, PLOS ONE, 12(7):e0181463, July 2017.
paper link arXiv suppl

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

Eunsun Oh, Sung Wook Seo, Young Cheol Yoon, Dong Wook Kim, Sunyoung Kwon, Sungroh Yoon, Journal of Orthopaedic Surgery, vol. 25, no. 2, pp. 1-7, June 2017.
paper link

Genetic risk score to predict biochemical recurrence after radical prostatectomy in prostate cancer: prospective cohort study

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, Oncotarget, vol. 8, no. 44, pp. 75979-75988, May 2017.
paper link

An Effective Pre-Store/Pre-Load Method Exploiting Intra-Request Idle Time of NAND Flash-Based Storage Devices

Jin-Young Kim, Tae-Hee You, Hyeokjun Seo, Sungroh Yoon, Jean-Luc Gaudiot, Eui-Young Chung, Microprocessors and Microsystems, vol. 50, pp. 222-236, May 2017.
paper link

NC-link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data

Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, and Sungroh Yoon, IEEE Access, vol. 5, no. 1, pp. 5594-5608, April 2017
paper link

Exome-Based Genome-Wide Association Study and Risk Assessment using Genetic Risk Score to Prostate Cancer in the Korean Population

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, Oncotarget, vol. 8, no. 27, pp. 43934-43943, March 2017.
paper link

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

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, PLOS ONE, 12(1): e0168917, January 2017.
paper link

2016

arXiv

LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems

Gyuwan Kim, Hayoon Yi, Jangho Lee, Yunheung Paek, and Sungroh Yoon, arXiv:1611.01726 [cs.CR], November 2016.
paper link

deepMiRGene: Deep Neural Network based Precursor microRNA Prediction

Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, and Sungroh Yoon, arXiv:1605.00017 [cs.LG], May 2016.
paper link

DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility

Hanjoo Kim, Jaehong Park, Jaehee Jang, and Sungroh Yoon, arXiv:1602.08191v2 [cs.LG], Februaray 2016.
paper link code

Conference

Neural Universal Discrete Denoiser

Taesup Moon, Seonwoo Min, Byunghan Lee, and Sungroh Yoon, in Proceedings of the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, December 2016.
preprint suppl link

An Efficient Method to Boosting Performance of Spiking Neural Network Training

Seongsik Park, Sang-gil Lee, Hyunha Nam, and Sungroh Yoon, in the Thirtieth Annual Conference on Neural Information Processing Systems (NIPS) Workshop on Computing with Spikes, Barcelona, Spain, December 2016.
paper link arXiv

CloudSocket: Smart Grid Platform for Datacenters

Seil Lee, Hanjoo Kim, Seongsik Park, Seijoon Kim, Hyeokjun Choe, Chang-Sung Jeong, and Sungroh Yoon, in Proceedings of the 34th IEEE International Conference on Computer Design (ICCD), pp. 436-439, Phoenix, USA, October 2016.
paper link

Deep Learning for Bioinformatics and Health Informatics

Sungroh Yoon, tutorial given at the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), Seattle, USA, October 2016.
slides slides (domestic server) link

deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks

Byunghan Lee, Junghwan Baek, Seunghyun Park, and Sungroh Yoon, in Proceedings of the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), pp. 434-442, Seattle, USA, October 2016.
paper code

Collaborative Analytics for Data Silos

Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, and Sang K Cha, in Proceedings of IEEE International Conference on Data Engineering (ICDE), pp. 743-754, Helsinki, Finland, May 2016.
paper link

Mining Internet Media for Monitoring Changes of Public Emotions about Infectious Diseases

Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon-Seok Chang, and Sungroh Yoon, in Proceedings of ICDE Workshop on Health Data Management and Mining, Helsinki, Finland, May 2016.
link

NASCUP: Nucleic Acid Sequence Classification by Universal Probability

Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Sungroh Yoon, and Young-Han Kim, in 2016 RECOMB-Seq (Massively Parallel Sequencing), Los Angeles, USA, April 2016.
paper suppl arXiv

Journal

Exploiting Compression-Induced Internal Fragmentation for Power-Off Recovery in SSD

Dongwook Kim, Youjip Won, Jaehyuk Cha, Sungroh Yoon, Jongmoo Choi, and Sooyong Kang, IEEE Transactions on Computers, vol. 65, no. 6, pp. 1720-1733, July 2016.
paper link

Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond

Sungmin Lee, Hyeyoung Min, and Sungroh Yoon, Briefings in Bioinformatics, vol. 17, no. 4, pp. 713-727, July 2016.
paper link suppl

Regularization and Kernelization of the Maximin Correlation Approach

Taehoon Lee, Taesup Moon, Seung Jean Kim, and Sungroh Yoon, IEEE Access, vol. 4, pp. 1385-1392, April 2016.
paper link code arXiv

Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors

Hyun-Soo Choi, Byunghan Lee, and Sungroh Yoon, IEEE Access, vol. 4, pp. 1266-1273, March 2016.
paper link

NAND Flash Memory with Multiple Page Sizes for High Performance Storage Devices

Jin-Young Kim, Sang-Hoon Park, Hyeokjun Seo, Ki-Whan Song, Sungroh Yoon, and Eui-Young Chung, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no.2, pp. 764-768, February 2016.
paper link

2015

arXiv

Manifold Regularized Deep Neural Networks using Adversarial Examples

Taehoon Lee, Minsuk Choi, and Sungroh Yoon, arXiv:1511.06381 [cs.LG], November 2015.
paper link

Conference

DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks

Byunghan Lee, Taehoon Lee, Byunggook Na, and Sungroh Yoon, in NIPS Workshop on Machine Learning in Computational Biology/Systems Biology, Montreal, Canada, December 2015.
paper link

Distributed Ensemble Learning for Analyzing Nationwide Health-Insurance Databases

Heonseok Ha, Jinkyu Kim, Jaehong Park and Sungroh Yoon, in NIPS Workshop on Machine Learning in Machine Learning for Healthcare, Montreal, Canada, December 2015.
link

Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression

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.
paper link

Big/Little Deep Neural Network for Ultra Low-Power Inference

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.
paper link

FingerNet: Deep Learning-Based Robust Finger Joint Detection from Radiographs

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.
paper link

Wearable and Wireless Measurement System for Evaluating Penile Tumescence

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.
paper link

Computational Prediction of Competitive Endogenous RNA

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.
paper link

Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions

Taehoon Lee and Sungroh Yoon, in Proceedings of International Conference on Machine Learning (ICML), Lille, France, July 2015.
paper link

Execution Time Modeling for Heterogeneous Computing System

Hyeokjun Seo, Eui-Young Chung, and Sungroh Yoon, in Proceedings of the 30th International Technical Conference on Circuits/Systems, Computers and Communications, Seoul, Korea, June 2015.

Journal

Automated band annotation for RNA structure probing experiments with numerous capillary electrophoresis profiles

Seungmyung Lee, Hanjoo Kim, Siqi Tan, Taehoon Lee, Sungroh Yoon, and Rhiju Das, Bioinformatics, vol. 31, no. 17, pp. 2808-2815, September 2015.
paper link suppl

Multi-threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining

Yongkweon Jeon and Sungroh Yoon, IEEE Transactions on Parallel and Distributed Systems, vo. 26, no. 9, pp. 2534-2548, September 2015.
paper link suppl

Genome-wide detection of allelic genetic variation to predict advanced-stage prostate cancer after radical prostatectomy using an exome SNP chip

Jong Jin Oh, Seunghyun Park, Sang Eun Lee, Sung Kyu Hong, Sangchul Lee, Jung Ki Jo, Jung Keun Lee, Jin-Nyoung Ho, Sungroh Yoon, Seok-Soo Byun, Urologic Oncology: Seminars and Original Investigations, vol. 33, no. 9, pp. 385.e7-e13, September 2015.
paper link

Genome-wide detection of allelic genetic variation to predict biochemical recurrence after radical prostatectomy among prostate cancer patients using an exome SNP chip

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.
paper link

High-dimensional Fused Lasso Regression using Majorization-Minimization and Parallel Processing

Donghyeon Yu, Joong-Ho Won, Taehoon Lee, Johan Lim, and Sungroh Yoon, Journal of Computational and Graphical Statistics, vol. 24, no. 1, pp. 121-153, March 2015.
paper link

Design Trade-Offs of SSDs: from Energy Consumption’s Perspective

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.
paper link

Google unveils a glimpse of allergic rhinitis in the real world

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.
paper link

2014

Conference

Analytical Model of SSD Parallelism

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.

CASPER: Context-Aware Scheme for Paired-End Read from High-Throughput Short-Read Amplicon Sequencing

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]

Ensemble Learning for Robust Prediction of microRNA-mRNA Interactions

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.

Ensemble Algorithms for DNA Motif Finding

Juho Kim, Seunghak Yu, and Sungroh Yoon, in Proceedings of the 2014 International Conference on Electronics, Information and Communication, Kota Kinabalu, Malaysia, January 2014.

Journal

IO Workload Characterization Revisited: A Data-Mining Approach

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.
paper link

Ensemble learning can significantly improve human microRNA target prediction

Seunghak Yu, Juho Kim, Hyeyoung Min, and Sungroh Yoon, Methods, vol. 69, no. 3, pp. 220-229, October 2014.
paper link

CASPER: Context-Aware Scheme for Paired-End Read from High-Throughput Short-Read Amplicon Sequencing

Sunyoung Kwon, Byunghan Lee, and Sungroh Yoon, BMC Bioinformatics , vol. 15, no. suppl 9, p. S10, September 2014.
paper link

The Use of Exome Genotyping to Predict Pathological Gleason Score Upgrade after Radical Prostatectomy in Low-Risk Prostate Cancer Patients

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.
paper link

Macro and Small over Micro: Macromolecules and Small Molecules that Regulate microRNAs

Soowon Kang, Kyungtaek Im, Jihae Baek, Sungroh Yoon, and Hyeyoung Min, ChemBioChem, vol. 15, no. 8, pp. 1071-1078, May 2014.
paper link

Standardization of RNA chemical mapping experiments

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.
paper link

Design of a Bitmap-based QoS-aware Memory Controller for a Packet Memory

Seunghak Yu, Sungroh Yoon, Eui-Young Chung, and Hyuk-Jun Lee, Electronics Express, vol. 11, no. 5, pp. 1-12, March 2014.
paper link

RNA Design Rules from a Massive Open Laboratory

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.
paper link

Selected Papers (2004~2013)

2013

Conference

In-Depth Analysis of Interrelation between Quality Scores and Real Errors in Illumina Reads

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.
paper link

Robust Classification of DNA Damage Patterns in Single Cell Gel Electrophoresis

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.

Graph-Based Binning Method for Clustering 16s rRNA Sequences into OTUs

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.

Tree-Based Comparison and Classification of RNA Secondary Structure

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.

VSSIM: Virtual Machine Based SSD Simulator

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.

Journal

GPU-Based Acceleration of an RNA Tertiary Structure Prediction Algorithm

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.
paper link

HiTRACE-Web: an Online Tool for Robust Analysis of High-Throughput Capillary Electrophoresis

Hanjoo Kim, Pablo Cordero, Rhiju Das, and Sungroh Yoon, Nucleic Acids Research, vol. 41, no. W1, pp. W492-498, July 2013.
paper link server

Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures

Yongkweon Jeon, Joong-Ho Won and Sungroh Yoon, IEEE Transactions on Biomedical Engineering, vol. 60, no. 1, pp. 240-244, Jaunary 2013.
paper link

Entropy-Based Analysis and Bioinformatics-Inspired Integration of Global Economic Information Transfer

Jinkyu Kim, Gunn Kim, Sungbae An, Young-Kyun Kwon and Sungroh Yoon, PLOS ONE, vol. 8, no. 1, e51986, January 2013.
paper link

Uncluttered Single-Image Visualization of Vascular Structures using GPU and Integer Programming

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.
paper link suppl

2012

Conference

Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics

Byunghan Lee, Joonhong Park, and Sungroh Yoon, in Proceedings of IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium, December 2012.
paper link

Influence of Number of Channels and FTL on SSD Power Consumption

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.

Deduplication in SSDs: Model and Quantitative Analysis

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.

Journal

Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications

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.
paper link

Can the Prostate Risk Calculator Based on Western Population be Applied to Asian Population?

Duck Ki Yoon, Jae Young Park, Sungroh Yoon, Man Sik Park, Du Geon Moon, and Fritz H. Schröder, The Prostate, vol. 72, no. 7, pp. 721-729, May 2012.
paper link server

vHoT: a Database for Predicting Inter-Species Iteractions between Viral microRNA and Host Genomes

Hanjoo Kim, Seunghyun Park, Hyeyoung Min, and Sungroh Yoon, Archives of Virology, vol. 157, no. 3, pp. 497-501, March 2012.
paper link server

2011

Conference

SSD Characterization: From Energy Consumption’s Perspective

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 ’11), Portland, USA, June 2011.
paper link

Journal

HiTRACE: High-throughput robust analysis for capillary electrophoresis

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.
paper link code suppl

Buffer Controller Based Multiple Processing Element Utilization for Dataflow Synthesis

Woohyung Chun, Sungroh Yoon and Sangjin Hong, IEEE Transactions on Very Large Scale Integration Systems, vol. 19, no. 7, pp. 1249-1262, July 2011.
paper link

Verification Methodology for the IMT-Advanced Channel Simulator

Kyung-Won Kim, Jae-Joon Park, Sungroh Yoon and Seong-Jun Oh, Electronics Express, vol. 8, no. 13, pp. 994-1000, July 2011.
paper link

Energy-Aware Interconnect Resource Reduction through Buffer Access Manipulation for Data-Centric Applications

Woohyung Chun, Sungroh Yoon and Sangjin Hong, IEEE Transactions on Very Large Scale Integration Systems, vol. 19, no. 5, pp. 818-831, May 2011.
paper link

Constructing Accurate Contact Maps for Hydroxyl Radical Cleavage Based High-Throughput RNA Structure Inference

Jinkyu Kim, Hanjoo Kim, Hyeyoung Min and Sungroh Yoon, IEEE Transactions on Biomedical Engineering, vol. 58, no. 5, pp. 1347-1355, May 2011.
paper link suppl

Initial biopsy outcome prediction in Korean patients – comparison of a noble web-based Korean prostate cancer risk calculator versus prostate-specific antigen testing

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.
paper link server

Fast sort of floating-point data for data engineering

Changsoo Kim, Sungroh Yoon and Dongseung Kim, Advances in Engineering Software, vol. 42, no. 1-2, pp. 50-54, January-February 2011.
paper link

2010

Conference

Exploiting Multiple Switch Libraries in Topology Synthesis of On-Chip Interconnection Network

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.

Journal

Application of maximin correlation analysis to classifying protein environments for function prediction

Taehoon Lee, Hyeyoung Min, Seung Jean Kim and Sungroh Yoon, Biochemical and Biophysical Research Communications, vol. 400, no. 2, pp. 219-224, September 2010.
paper link suppl

Support vector machine based classification of 3-dimensional protein physicochemical environments for automated function annotation

Hyeyoung Min, Seunghak Yu, Taehoon Lee and Sungroh Yoon, Archives of Pharmacal Research, vol. 33, no. 9, pp. 1451-1459, September 2010.
paper link

Concurrent simulation platform for energy-aware smart metering systems

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.
paper link

Architecture Exploration of High-Performance PCs with a Solid-State Disk

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.
paper link

Got target?: Computational methods for microRNA target prediction and their extension

Hyeyoung Min and Sungroh Yoon, Experimental and Molecular Medicine, vol. 42, no. 4, pp. 234-244, April 2010.
paper link

Numerically Efficient Algorithm for Modified Trellis Approaches

Hichan Moon and Sungroh Yoon, IEEE Transactions on Communications, vol. 58, no. 2, pp. 385-389, February 2010.
paper link

2009

Conference

Performance Analysis of Network Coding with Rapter Codes for Multimedia Broadcast Services

Kwangseok Noh, Sungroh Yoon and Jun Heo, in Proceedings of International Conference on Consumer Electronics, pp. 1-2, Las Vegas, USA, January 2009.

Journal

Stochastic Modeling and Concurrent Simulation of the Game of Golf

Sungroh Yoon, Seil Lee and Seong-Jun Oh, ETRI Journal, vol. 31, no. 6, pp. 809-811, December 2009.
paper link

Nonlinear Preprocessing Method for Detecting Peaks from Gas Chromatograms

Byonghyo Shim, Hyeyoung Min and Sungroh Yoon, BMC Bioinformatics, vol. 10, no. 1, p. 378, November 2009.
paper link code

Good Puncturing Scheme for Rate Compatible Low-Density Parity-Check Codes

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.
paper link

High-Speed Post-Layout Logic Simulation Using Quasi-Static Clock Event Evaluation

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.
paper link

A Robust Peak Detection Method for RNA Structure Inference by High-Throughput Contact Mapping

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. paper link suppl code

Performance Analysis of Network Coding with Raptor Codes for IPTV

Kwangseok Noh, Sungroh Yoon and Jun Heo, IEEE Transactions on Consumer Electronics, vol. 55, no. 1, pp. 83-87, February 2009.
paper link

Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling

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.
paper link

K-Maximin Clustering: A Maximin Correlation Approach to Partition-Based Clustering

Taehoon Lee, Seung Jean Kim, Eui-Young Chung and Sungroh Yoon, Electronics Express, vol. 6, no. 17, pp. 1205-1211, September 2009.
paper link

2004 – 2008

Conference

Parallel External Sort of Floating-Point Data by Integer Conversion

Changsoo Kim, Sungroh Yoon and Dongseung Kim, in Proceedings of Applied Computing Conference, pp. 120-123, Istanbul, Turkey, May 2008.

Exploiting Binary Abstractions in Deciphering Gene Interactions

Sungroh Yoon, Abhishek Garg, Eui-Young Chung, Hyun Seok Park, Woong Yang Park and Giovanni De Micheli, in Proceedings of IEEE 28th Annual International Conference of IEEE Engineering in Medicine and Biology, pp. 5858-5863, New York City, USA, September 2006.