| 2025 | KDD | Logical Anomaly Detection with Text-based Logic via Component-Aware Contrastive Language-Image Training. | Seungeon Lee, Soopil Kim, Sion An, Sang-Chul Lee, Sang Hyun Park |
| 2025 | MICCAI | Revisiting Masked Image Modeling with Standardized Color Space for Domain Generalized Fundus Photography Classification. | Eojin Jang, Myeongkyun Kang, Soopil Kim, Min Sagong, Sang Hyun Park |
| 2024 | AAAI | Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection. | Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli, Kilian M. Pohl, Sanghyun Park |
| 2024 | MICCAI | Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. | Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park |
| 2024 | MICCAI | InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. | Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park |
| 2023 | MICCAI | One-Shot Federated Learning on Medical Data Using Knowledge Distillation with Image Synthesis and Client Model Adaptation. | Myeongkyun Kang, Philip Chikontwe, Soopil Kim, Kyong Hwan Jin, Ehsan Adeli-Mosabbeb, Kilian M. Pohl, Sanghyun Park |
| 2022 | CVPR | CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. | Philip Chikontwe, Soopil Kim, Sang Hyun Park |
| 2021 | AAAI | Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. | Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park |
| 2020 | IROS | Few-Shot Relation Learning with Attention for EEG-based Motor Imagery Classification. | Sion An, Soopil Kim, Philip Chikontwe, Sang Hyun Park |