2022
arXiv
Conference
Journal
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization
Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon, in IEEE Transactions on Pattern Analysis and Machine Intelligence, in press. [A preliminary version appeared in CVPR 2021, Nashville, USA, June 2021]
paper link github preliminary version
Flexible dual-branched message passing neural network for molecular property prediction
Jeonghee Jo, Bumju Kwak, Byunghan Lee, Sungroh Yoon, ACS Omega, vol. 7, no. 5, pp. 4234-4244, February 2022.
paper cover image link arXiv
2021
Conference
Towards High Generalization Performance on Electrocardiogram Classification
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 Proceedings of Computing in Cardiology (CinC), pp. 1-4, doi: 10.23919/CinC53138.2021.9662737, Brno, Czech Republic, September 2021.
paper link
Journal
2020
Conference
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
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
2019
Conference
Journal
Cracking the code of personalized medicine
Advertisement Feature (not a peer reviewed research article) in Nature Research, March 2019.
link
2018
Conference
Journal
2017
arXiv
Conference
Journal
2016
Conference
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
Journal
2015
Conference
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
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
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
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
2013
Conference
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
2012
Conference
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.
2011
Journal
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
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
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.
Clustering Protein Microenvironments for Automated Function Prediction
Sungroh Yoon, Jessica Ebert, and Russ B. Altman, in Proceedings of the Second Automated Function Prediction Meeting, San Diego, USA, August 2006.
Mining Gene Sets for Measuring Similarities
Christine Nardini, Daniele Masotti, Sungroh Yoon, Enrico Macii, Michael D. Kuo, Giovanni De Micheli and Luca Benini, in Proceedings of IEEE Symposium on Computers and Communications, pp. 227-232, Pula-Cagliari, Sardinia, Italy, June 2006.
Clinical Bioimaging and Functional Genomics
Elisa Ficarra, Sungroh Yoon, Luca Benini, Enrico Macii and Giovanni De Micheli, in Proceedings of I FIMA International Conference on Models and Methods for Human Genomics, Ayas-Champoluc, Aosta Valley, Italy, January 2006.
Bioimaging and Functional Genomics
Elisa Ficarra, Giovanni De Micheli, Sungroh Yoon, Luca Benini and Enrico Macii, in Proceedings of pHealth 2006, International Workshop on Wearable Micro- and Nanosystems for Personalized Health, Luzern, Switzerland, January 2006.
Prediction and Analysis of Human microRNA Regulatory Modules
Sungroh Yoon and Giovanni De Micheli, in Proceedings of IEEE 27th Annual International Conference of IEEE Engineering in Medicine and Biology, pp. 4799-4802, Shanghai, China, September 2005.
Finding Co-clusters of Genes and Clinical Parameters
Sungroh Yoon, Luca Benini and Giovanni De Micheli, in Proceedings of IEEE 27th Annual International Conference of IEEE Engineering in Medicine and Biology, pp. 906-912, Shanghai, China, September 2005.
An Application of Zero-suppressed Binary Decision Diagrams to Clustering Analysis of DNA Microarray Data
Sungroh Yoon and Giovanni De Micheli, in Proceedings of IEEE 26th Annual International Conference of IEEE Engineering in Medicine and Biology, pp. 2925-2928, San Francisco, USA, September 2004.
Enhanced pClustering and Its Applications to Gene Expression Data
Sungroh Yoon, Christine Nardini, Luca Benini and Giovanni De Micheli, in Proceedings of IEEE 4th Symposium on Bioinformatics and Bioengineering, pp. 275-282, Taichung, Taiwan, May 2004.
Journal
Technologies and Analysis Methods for Detecting Gene Expression by DNA Microarrays
Sungroh Yoon, IEEE Technology Survey, September 2006.
link
A Pattern Mining Method for High-throughput Lab-on-a-chip Data Analysis
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.
link
Defects vs. Faults: Some Data from the ELF35 and Murphy Chips
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.
Testable Design of ELF13: 0.13μm Digital CMOS Circuits
Sungroh Yoon, James Chien-mo Li and Edward J. McCluskey, Center for Reliable Computing Technical Report, Stanford University, May 2002.