A Latent Variable Approach for Meta-Analysis of Gene Expression Data from Multiple Microarray Experiments. - Hyungwon Choi; Ronglai Shen; Arul M. Chinnaiyan; Debashis Ghosh (BMC Bioinform., 2007)

Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data. - Hyungwon Choi; Alexey I. Nesvizhskii; Debashis Ghosh; Zhaohui S. Qin (Bioinform., 2009)

A Double-Layered Mixture Model for the Joint Analysis of DNA Copy Number and Gene Expression Data. - Hyungwon Choi; Zhaohui S. Qin; Debashis Ghosh (J. Comput. Biol., 2010)

Multiple Kernel Learning with Hierarchical Feature Representations. - Juhyeon Lee; Jae Hyun Lim 001; Hyungwon Choi; Dae-Shik Kim (ICONIP (3), 2013)

Applications of projection based interactive user interface. - Jun-Cheol Park; Yunhun Jang; Hyungwon Choi; Sihyeon Seong; Sunghun Kang; Dae-Shik Kim (SIGGRAPH ASIA Posters, 2013)

Sparsely correlated hidden Markov models with application to genome-wide location studies. - Hyungwon Choi; Damian Fermin; Alexey I. Nesvizhskii; Debashis Ghosh; Zhaohui S. Qin (Bioinform., 2013)

MetTailor: dynamic block summary and intensity normalization for robust analysis of mass spectrometry data in metabolomics. - Gengbo Chen; Liang Cui; Guo Shou Teo; Choon Nam Ong; Chuen Seng Tan; Hyungwon Choi (Bioinform., 2015)

LuciPHOr2: site localization of generic post-translational modifications from tandem mass spectrometry data. - Damian Fermin; Dmitry Avtonomov; Hyungwon Choi; Alexey I. Nesvizhskii (Bioinform., 2015)

Adiabatic Persistent Contrastive Divergence learning. - Hyeryung Jang; Hyungwon Choi; Yung Yi; Jinwoo Shin (ISIT, 2017)

SLIDE - a web-based tool for interactive visualization of large-scale - omics data. - Soumita Ghosh; Abhik Datta; Kaisen Tan; Hyungwon Choi (Bioinform., 2019)

Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx. - Seyoon Ko; Ginny X. Li; Hyungwon Choi; Joong-Ho Won (Briefings Bioinform., 2021)

Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity. - Hyunsoo Chung; Jungtaek Kim 001; Hyungeun Jo; Hyungwon Choi (CIKM, 2024)

Improving Diffusion Models for Authentic Virtual Try-on in the Wild. - Yisol Choi; Sangkyung Kwak; Kyungmin Lee; Hyungwon Choi; Jinwoo Shin (ECCV (86), 2024)

Improving Diffusion Models for Virtual Try-on. - Yisol Choi; Sangkyung Kwak; Kyungmin Lee; Hyungwon Choi; Jinwoo Shin (CoRR, 2024)

Learning Massive-scale Partial Correlation Networks in Clinical Multi-omics Studies with HP-ACCORD. - Sungdong Lee; Joshua Bang; Youngrae Kim; Hyungwon Choi; Sang-Yun Oh; Joong-Ho Won (CoRR, 2024)

Controllable Human Image Generation with Personalized Multi-Garments. - Yisol Choi; Sangkyung Kwak; Sihyun Yu; Hyungwon Choi; Jinwoo Shin (CVPR, 2025)