Detection of Video Scene Breaks Using Directional Information in DCT Domain. - Tae-Hyun Hwang; Dong-Seok Jeong (ICIAP, 1999)

MPEG-7 metadata for video-based GIS applications. - Tae-Hyun Hwang; Kyoung-Ho Choi; In-Hak Joo; Jong-Hun Lee (IGARSS, 2003)

Generation of video metadata supporting video-gis integration. - In-Hak Joo; Tae-Hyun Hwang; Kyoung-Ho Choi (ICIP, 2004)

An indexing method for spatial object in video using image processing and photogrammetry. - Tae-Hyun Hwang; In-Hak Joo; Kyoung-Ho Choi (IGARSS, 2004)

Updating Geospatial Database: An Automatic Approach Combining Photogrammetry and Computer Vision Techniques. - In-Hak Joo; Tae-Hyun Hwang; Kyoung-Ho Choi (ACIVS, 2005)

Detection of Traffic Lights for Vision-Based Car Navigation System. - Tae-Hyun Hwang; In-Hak Joo; Seong Ik Cho (PSIVT, 2006)

MCTA: Target Tracking Algorithm Based on Minimal Contour in Wireless Sensor Networks. - Jaehoon Jeong 001; Taehyun Hwang; Tian He 001; David Hung-Chang Du (INFOCOM, 2007)

Learning on Weighted Hypergraphs to Integrate Protein Interactions and Gene Expressions for Cancer Outcome Prediction. - TaeHyun Hwang; Ze Tian; Rui Kuang; Jean-Pierre A. Kocher (ICDM, 2008)

Robust and efficient identification of biomarkers by classifying features on graphs. - TaeHyun Hwang; Hugues Sicotte; Ze Tian; Baolin Wu; Jean-Pierre A. Kocher; Dennis A. Wigle; Vipin Kumar 001; Rui Kuang (Bioinform., 2008)

A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior. - Ze Tian; TaeHyun Hwang; Rui Kuang (GENSiPS, 2009)

A hypergraph-based learning algorithm for classifying gene expression and arrayCGH data with prior knowledge. - Ze Tian; TaeHyun Hwang; Rui Kuang (Bioinform., 2009)

A Heterogeneous Label Propagation Algorithm for Disease Gene Discovery. - TaeHyun Hwang; Rui Kuang (SDM, 2010)

Inferring disease and gene set associations with rank coherence in networks. - TaeHyun Hwang; Wei Zhang 076; Maoqiang Xie; Jinfeng Liu 003; Rui Kuang (Bioinform., 2011)

Inferring Disease and Gene Set Associations with Rank Coherence in Networks - TaeHyun Hwang; Wei Zhang 076; Maoqiang Xie; Rui Kuang (CoRR, 2011)

Sparse robust matrix tri-factorization with application to cancer genomics. - Seung-Jun Kim 002; TaeHyun Hwang; Georgios B. Giannakis (CIP, 2012)

Prioritizing Disease Genes by Bi-Random Walk. - Maoqiang Xie; TaeHyun Hwang; Rui Kuang (PAKDD (2), 2012)

The architecture for vehicular black-box image communication in VANET. - Jeonghee Chi; Hyunsun Park; Taehyun Hwang; Soyoung Park (ICUFN, 2014)

Convex Optimization for Binary Classifier Aggregation in Multiclass Problems. - Sunho Park; TaeHyun Hwang; Seungjin Choi (SDM, 2014)

A framework of augmented reality for geotagged videos. - Chung-Hyun Ahn; Tae-Hyun Hwang; Kyoung-Ho Choi (FCV, 2015)

An integrative somatic mutation analysis to identify pathways linked with survival outcomes across 19 cancer types. - Sunho Park; Seung-Jun Kim 002; Donghyeon Yu; Samuel Peña-Llopis; Jianjiong Gao; Jinsuk Park; Beibei Chen; Jessie Norris; Xinlei Wang 001; Min Chen 014; Min-Su Kim; Jeongsik Yong; et al. (Bioinform., 2016)

Transfer learning across ontologies for phenome-genome association prediction. - Raphael Petegrosso; Sunho Park; TaeHyun Hwang; Rui Kuang (Bioinform., 2017)

"I'll do it!": examining the relationship between locus of control and math game retention for preschoolers. - Bugeun Kim; Jungwook Rhim; Jihyun Rho; Taehyun Hwang; Gunho Lee; Gahgene Gweon (LAK, 2018)

Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks. - Hongming Xu 002; Tae-Hyun Hwang (CoRR, 2018)

Statistical Local Binary Patterns (SLBP): Application To Prostate Cancer Gleason Score Prediction From whole Slide Pathology Images. - Hongming Xu 002; Tae-Hyun Hwang (ISBI, 2019)

Bayesian Semi-Nonnegative Matrix Tri-Factorization to Identify Pathways Associated with CancerPhenotypes. - Sunho Park; Nabhonil Kar; Jae-Ho Cheong; TaeHyun Hwang (PSB, 2020)

Computerized Classification of Prostate Cancer Gleason Scores from Whole Slide Images. - Hongming Xu 002; Sunho Park; Tae-Hyun Hwang (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Interaction of a priori Anatomic Knowledge with Self-Supervised Contrastive Learning in Cardiac Magnetic Resonance Imaging. - Makiya Nakashima; Inyeop Jang; Ramesh Basnet; Mitchel Benovoy; W. H. Wilson Tang; Christopher Nguyen; Deborah Kwon; Tae-Hyun Hwang; David Chen 006 (CoRR, 2022)

Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation. - Taehyun Hwang; Min-hwan Oh (AAAI, 2023)

Combinatorial Neural Bandits. - Taehyun Hwang; Kyuwook Chai; Min-hwan Oh (ICML, 2023)

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision. - Makiya Nakashima; Donna Salem; W. H. Wilson Tang; Christopher Nguyen; Tae-Hyun Hwang; Ding Zhao; Byung-Hak Kim; Deborah Kwon; David Chen 006 (MLHC, 2023)

Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation. - Wooseong Cho; Taehyun Hwang; Joongkyu Lee; Min-hwan Oh (NeurIPS, 2024)

Clinical usefulness of digital twin guided virtual amiodarone test in patients with atrial fibrillation ablation. - Taehyun Hwang; Byounghyun Lim; Oh-Seok Kwon; Moon-Hyun Kim; Daehoon Kim; Je-Wook Park; Hee Tae Yu; Tae-Hoon Kim; Jae-Sun Uhm; Boyoung Joung; Moon-Hyoung Lee; Chun Hwang; et al. (npj Digit. Medicine, 2024)

Anti- and pro-fibrillatory effects of pulmonary vein isolation gaps in human atrial fibrillation digital twins. - Ze Jin; Taehyun Hwang; Daehoon Kim; Byounghyun Lim; Oh-Seok Kwon; Sangbin Kim; Moon-Hyun Kim; Je-Wook Park; Hee Tae Yu; Tae-Hoon Kim; Jae-Sun Uhm; Boyoung Joung; et al. (npj Digit. Medicine, 2024)

Lasso Bandit with Compatibility Condition on Optimal Arm. - Harin Lee; Taehyun Hwang; Min-hwan Oh (ICLR, 2025)

Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology. - Sunho Park; Morgan F. Pettigrew; Yoon Jin Cha; In-Ho Kim; Minji Kim; Imon Banerjee; Isabel Barnfather; Jean R. Clemenceau; Inyeop Jang; Hyunki Kim; Younghoon Kim; Rish K. Pai; et al. (npj Digit. Medicine, 2025)