| 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 | 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 | Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer's Disease Conversion Prediction. | Hyuna Cho, Hayoung Ahn, Guorong Wu, 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 | MICCAI | Uncertainty-Aware Diffusion-Based Adversarial Attack for Realistic Colonoscopy Image Synthesis. | Minjae Jeong, Hyuna Cho, Sungyoon Jung, 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 | CogSci | Real-world convenience shapes laboratory food choices even when irrelevant. | Hyuna Cho, Cendri A. C. Hutcherson |
| 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 |
| 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 | Disentangled Sequential Graph Autoencoder for Preclinical Alzheimer's Disease Characterizations from ADNI Study. | Fan Yang, Rui Meng, Hyuna Cho, Guorong Wu, Won Hwa Kim |