Won Hwa Kim

32 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (13) 🐝 Cross-Pollinator (12)

🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🏃 Academic Marathon (13) 🤝 Dynamic Duo (11) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter ⚡ Prolific Year (9) 🚀 Conference Pioneer 🗃️ Keyword Collector (90) 🔥 Unstoppable (5) 💎 Century Club (31)

Conferences

MICCAI (11) CVPR (6) ICLR (3) ICML (3) ICCV (2) NIPS (2) WACV (2) AAAI (1) IJCAI (1) MIDL (1)

Top co-authors

Guorong Wu (11) Hyuna Cho (6) Jaeyoon Sim (6) Vikas Singh (6) Minjae Jeong (4) Tingting Dan (4) Sterling C. Johnson (3) Donghyun Lee (3) Ziquan Wei (3) Sungyoon Jung (3)

Research topics

Statistics (1)

Keywords

contrastive learning (2) multi-resolution analysis (2) harmonic analysis (2) medical image segmentation (2) statistical inference (2) wavelet analysis (2) brain imaging (2) graph neural network (2) medical imaging (1) collaborative filtering (1) sound source localization (1) self-supervised learning (1) temporal sequence (1) contextual reasoning (1) object detection (1) semi-supervised learning (1) scene graph generation (1) conditional generation (1) pseudo labeling (1) shape analysis (1)

Papers

HiMix : Hierarchical Visual-Textual Mixing Network for Lesion Segmentation WACV 2026 Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? MIDL 2026 Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies ICLR 2025 MNM: Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations MICCAI 2025 MindLink: Subject-agnostic Cross-Subject Brain Decoding Framework MICCAI 2025 Improved Tumor Segmentation using Selective Synthetic Augmentation for Enhanced Surgical Planning in Breast MRI MICCAI 2025 DISCLOSE the Neurodegeneration Dynamics: Individualized ODE Discovery for Alzheimer’s Disease Precision Medicine MICCAI 2025 Improving Sound Source Localization with Joint Slot Attention on Image and Audio CVPR 2025 Conditional Graph Diffusion with Topological Constraints for Brain Network Generation MICCAI 2025 Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction MICCAI 2025 HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining ICLR 2025 Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold ICML 2024 Learning to Approximate Adaptive Kernel Convolution on Graphs AAAI 2024 Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations ICLR 2024 Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization ICML 2024 Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification MICCAI 2024 Multi-order Simplex-based Graph Neural Network for Brain Network Analysis MICCAI 2024 OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels MICCAI 2024 Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis MICCAI 2024 Uncovering Cortical Pathways of Prion-like Pathology Spreading in Alzheimer’s Disease by Neural Optimal Mass Transport MICCAI 2024 Interactive Network Perturbation Between Teacher and Students for Semi-Supervised Semantic Segmentation WACV 2024 Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals NIPS 2023 Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023 Devil's on the Edges: Selective Quad Attention for Scene Graph Generation CVPR 2023 Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion NIPS 2023 Locally Normalized Soft Contrastive Clustering for Compact Clusters IJCAI 2022 Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples With Applications to Neuroimaging ICCV 2019 Online Graph Completion: Multivariate Signal Recovery in Computer Vision CVPR 2017 Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP) CVPR 2016 Statistical Inference Models for Image Datasets With Systematic Variations CVPR 2015 On Statistical Analysis of Neuroimages With Imperfect Registration ICCV 2015 Multi-resolution Shape Analysis via Non-Euclidean Wavelets: Applications to Mesh Segmentation and Surface Alignment Problems CVPR 2013