| 2026 | WACV | Enhancing Reverse Distillation with Core Exemplar Learning for Unified Multi-Class Anomaly Detection. | Heechul Lim, Min-Soo Kim, Hyun-Boo Lee, Suk-Ju Kang, Kang-Wook Chon, Haeyun Lee |
| 2025 | ICLR | Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information. | Kyungsu Lee, Haeyun Lee, Jae Youn Hwang |
| 2023 | AISTATS | USIM Gate: UpSampling Module for Segmenting Precise Boundaries concerning Entropy. | Kyungsu Lee, Haeyun Lee, Jae Youn Hwang |
| 2023 | MICCAI | Fine-Tuning Network in Federated Learning for Personalized Skin Diagnosis. | Kyungsu Lee, Haeyun Lee, Thiago Coutinho Cavalcanti, Sewoong Kim, Georges El Fakhri, Dong Hun Lee, Jonghye Woo, Jae Youn Hwang |
| 2023 | MICCAI | Outlier Robust Disease Classification via Stochastic Confidence Network. | Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jorge Sepulcre, Xiaofeng Liu, Fangxu Xing, Jae Youn Hwang, Jonghye Woo |
| 2023 | MICCAI | Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-Tuning. | Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jonghye Woo, Jae Youn Hwang |
| 2021 | ICCV | Self-Mutating Network for Domain Adaptive Segmentation of Aerial Images. | Kyungsu Lee, Haeyun Lee, Jae Youn Hwang |
| 2020 | ECCV | Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms. | Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho |