| 2025 | ICLR | Adaptive Energy Alignment for Accelerating Test-Time Adaptation. | Wonjeong Choi, Do-Yeon Kim, Jungwuk Park, Jungmoon Lee, Younghyun Park, Dong-Jun Han, Jaekyun Moon |
| 2024 | ICML | Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning. | Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon |
| 2023 | ICLR | Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning. | Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon |
| 2023 | INFOCOM | SplitGP: Achieving Both Generalization and Personalization in Federated Learning. | Dong-Jun Han, Do-Yeon Kim, Minseok Choi, Christopher G. Brinton, Jaekyun Moon |
| 2023 | WISA | Vulnerability Assessment Framework Based on In-The-Wild Exploitability for Prioritizing Patch Application in Control System. | Seong-Su Yoon, Do-Yeon Kim, Ga-Gyeong Kim, Ieck-Chae Euom |
| 2022 | ECCV | Deep Neural Network Compression for Image Inpainting. | Soyeong Kim, Do-Yeon Kim, Jaekyun Moon |
| 2020 | ICML | XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning. | Sung Whan Yoon, Do-Yeon Kim, Jun Seo, Jaekyun Moon |