| 2026 | WACV | HiMix : Hierarchical Visual-Textual Mixing Network for Lesion Segmentation. | Soojin Hwang, Jaeyoon Sim, Won Hwa Kim |
| 2025 | CVPR | Improving Sound Source Localization with Joint Slot Attention on Image and Audio. | Inho Kim, Youngkil Song, Jicheol Park, Won Hwa Kim, Suha Kwak |
| 2025 | ICLR | 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 |
| 2025 | ICLR | HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining. | Minjae Jeong, Yechan Hwang, Jaejin Lee, Sungyoon Jung, Won Hwa Kim |
| 2025 | MICCAI | Spectral Graph Autoregressive Modeling for Conditional Brain Network Augmentation. | Hayoung Ahn, Seungjoo Lee, Jaeyoon Sim, Yechan Hwang, Hyuna Cho, Guorong Wu, Won Hwa Kim |
| 2025 | MICCAI | MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations. | Seunghun Baek, Jaejin Lee, Jaeyoon Sim, Minjae Jeong, Won Hwa Kim |
| 2025 | MICCAI | Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction. | Hyuna Cho, Hayoung Ahn, Guorong Wu, Won Hwa Kim |
| 2025 | MICCAI | REMix: Refinement-Enhanced Visual-Textual Mixing for Lesion Segmentation. | Soojin Hwang, Jaeyoon Sim, Won Hwa Kim |
| 2025 | MICCAI | MindLink: Subject-Agnostic Cross-Subject Brain Decoding Framework. | Sungyoon Jung, Donghyun Lee, Won Hwa Kim |
| 2025 | MICCAI | DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer's Disease Precision Medicine. | Wooseok Jung, Joonhyuk Park, Won Hwa Kim |
| 2025 | MICCAI | Improved Tumor Segmentation Using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI. | Miguel Luna, John Baek, Won Hwa Kim, Wan Gyu Son, Kwang Min Lee, Hye Jung Kim, Jaeil Kim |
| 2025 | MICCAI | Conditional Graph Diffusion with Topological Constraints for Brain Network Generation. | Joonhyuk Park, Donghyun Lee, Guorong Wu, Won Hwa Kim |
| 2024 | AAAI | Learning to Approximate Adaptive Kernel Convolution on Graphs. | Jaeyoon Sim, Sooyeon Jeon, Injun Choi, Guorong Wu, Won Hwa Kim |
| 2024 | ACCV | CNG-SFDA: Clean-and-Noisy Region Guided Online-Offline Source-Free Domain Adaptation. | Hyeonwoo Cho, Chanmin Park, Dong-Hee Kim, Jinyoung Kim, Won Hwa Kim |
| 2024 | ICLR | Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations. | Yujee Song, Donghyun Lee, Rui Meng, Won Hwa Kim |
| 2024 | ICML | Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization. | Hyuna Cho, Jaeyoon Sim, Guorong Wu, Won Hwa Kim |
| 2024 | ICML | Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. | Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu |
| 2024 | MICCAI | OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels. | Seunghun Baek, Jaeyoon Sim, Guorong Wu, Won Hwa Kim |
| 2024 | MICCAI | Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. | Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu |
| 2024 | MICCAI | Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis. | Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim |
| 2024 | MICCAI | Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis. | Minjae Jeong, Hyuna Cho, Sungyoon Jung, Won Hwa Kim |
| 2024 | MICCAI | Gene-to-Image: Decoding Brain Images from Genetics via Latent Diffusion Models. | Sooyeon Jeon, Yujee Song, Won Hwa Kim |
| 2024 | MICCAI | Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification. | Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim |
| 2024 | WACV | Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. | Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim |
| 2023 | CVPR | Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. | Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho |
| 2023 | ICML | 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 |
| 2023 | MICCAI | Anti-adversarial Consistency Regularization for Data Augmentation: Applications to Robust Medical Image Segmentation. | Hyuna Cho, Yubin Han, Won Hwa Kim |
| 2023 | MICCAI | Mixing Temporal Graphs with MLP for Longitudinal Brain Connectome Analysis. | Hyuna Cho, Guorong Wu, Won Hwa Kim |
| 2023 | MICCAI | Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | RESToring Clarity: Unpaired Retina Image Enhancement Using Scattering Transform. | Ellen Jieun Oh, Yechan Hwang, Yubin Han, Taegeun Choi, Geunyoung Lee, Won Hwa Kim |
| 2023 | MICCAI | Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. | Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim |
| 2022 | IJCAI | Locally Normalized Soft Contrastive Clustering for Compact Clusters. | Xin Ma, Won Hwa Kim |
| 2022 | MICCAI | How Much to Aggregate: Learning Adaptive Node-Wise Scales on Graphs for Brain Networks. | Injun Choi, Guorong Wu, Won Hwa Kim |
| 2022 | MICCAI | Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. | Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu |
| 2022 | MICCAI | What Do Untargeted Adversarial Examples Reveal in Medical Image Segmentation? | Gangin Park, Chunsan Hong, Bohyung Kim, Won Hwa Kim |
| 2021 | MICCAI | Covariate Correcting Networks for Identifying Associations Between Socioeconomic Factors and Brain Outcomes in Children. | Hyuna Cho, Gunwoong Park, Amal Isaiah, Won Hwa Kim |
| 2021 | MICCAI | A Multi-scale Capsule Network for Improving Diagnostic Generalizability in Breast Cancer Diagnosis Using Ultrasonography. | Chanho Kim, Won Hwa Kim, Hye Jung Kim, Jaeil Kim |
| 2021 | MICCAI | Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy Using Multi-scale Patch Learning with Mammography. | Ho Kyung Shin, Won Hwa Kim, Hye Jung Kim, Chanho Kim, Jaeil Kim |
| 2021 | MICCAI | Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. | Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim |
| 2020 | MICCAI | COVLET: Covariance-Based Wavelet-Like Transform for Statistical Analysis of Brain Characteristics in Children. | Fan Yang, Amal Isaiah, Won Hwa Kim |
| 2019 | ICCV | Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging. | Seong Jae Hwang, Zirui Tao, Vikas Singh, Won Hwa Kim |
| 2017 | CVPR | Online Graph Completion: Multivariate Signal Recovery in Computer Vision. | Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh |
| 2016 | CVPR | 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 |
| 2016 | ECCV | 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 |
| 2015 | CVPR | Statistical inference models for image datasets with systematic variations. | Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | On Statistical Analysis of Neuroimages with Imperfect Registration. | Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh |
| 2014 | MICCAI | The 4D Hyperspherical Diffusion Wavelet: A New Method for the Detection of Localized Anatomical Variation. | Ameer Pasha Hosseinbor, Won Hwa Kim, Nagesh Adluru, Amit Acharya, Houri K. Vorperian, Moo K. Chung |
| 2013 | CVPR | Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems. | Won Hwa Kim, Moo K. Chung, Vikas Singh |
| 2013 | MICCAI | Multi-resolutional Brain Network Filtering and Analysis via Wavelets on Non-Euclidean Space. | Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Sylvia Charchut, Johnson J. GadElkarim, Lori L. Altshuler, Teena Moody, Anand R. Kumar, Vikas Singh, Alex D. Leow |