Kim, Won Hwa

22 publications

ICLR 2025 Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim

NeurIPS 2025 Explore In-Context Message Passing Operator for Graph Neural Networks in a Mean Field Game Tingting Dan, Xinwei Huang, Won Hwa Kim, Guorong Wu

ICLR 2025 HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining Minjae Jeong, Yechan Hwang, Jaejin Lee, Sungyoon Jung, Won Hwa Kim

CVPR 2025 Improving Sound Source Localization with Joint Slot Attention on Image and Audio Inho Kim, Youngkil Song, Jicheol Park, Won Hwa Kim, Suha Kwak

TMLR 2025 Targeted Unlearning Using Perturbed Sign Gradient Methods with Applications on Medical Images George R. Nahass, Zhu Wang, Homa Rashidisabet, Won Hwa Kim, Sasha Hubschman, Jeffrey C. Peterson, Pete Setabutr, Chad A. Purnell, Ann Tran, Darvin Yi, Sathya N. Ravi

NeurIPS 2025 Topology-Aware Graph Diffusion Model with Persistent Homology Joonhyuk Park, Donghyun Lee, Yujee Song, Guorong Wu, Won Hwa Kim

ICLR 2024 Decoupled Marked Temporal Point Process Using Neural Ordinary Differential Equations Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim

ICML 2024 Exploring the Enigma of Neural Dynamics Through a Scattering-Transform Mixer Landscape for Riemannian Manifold Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu

WACV 2024 Interactive Network Perturbation Between Teacher and Students for Semi-Supervised Semantic Segmentation Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim

AAAI 2024 Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim

ICML 2024 Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim

CVPR 2023 Devil's on the Edges: Selective Quad Attention for Scene Graph Generation Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho

ICML 2023 Learning to Boost Training by Periodic Nowcasting near Future Weights Jinhyeok Jang, Woo-Han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, Byungok Han

NeurIPS 2023 Multi-Resolution Spectral Coherence for Graph Generation with Score-Based Diffusion Hyuna Cho, Minjae Jeong, Sooyeon Jeon, Sungsoo Ahn, Won Hwa Kim

NeurIPS 2023 Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals Tingting Dan, Jiaqi Ding, Ziquan Wei, Shahar Kovalsky, Minjeong Kim, Won Hwa Kim, Guorong Wu

IJCAI 2022 Locally Normalized Soft Contrastive Clustering for Compact Clusters Xin Ma, Won Hwa Kim

CVPR 2017 Online Graph Completion: Multivariate Signal Recovery in Computer Vision Won Hwa Kim, Mona Jalal, Seongjae Hwang, Sterling C. Johnson, Vikas Singh

ECCV 2016 Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh

CVPR 2016 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh

ICCV 2015 On Statistical Analysis of Neuroimages with Imperfect Registration Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh

CVPR 2015 Statistical Inference Models for Image Datasets with Systematic Variations Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh

CVPR 2013 Multi-Resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems Won Hwa Kim, Moo K. Chung, Vikas Singh