| 2026 | AAAI | CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift. | HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon |
| 2024 | ICLR | DAFA: Distance-Aware Fair Adversarial Training. | Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon |
| 2023 | WACV | Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training. | Saehyung Lee, Hyungyu Lee |
| 2022 | ICLR | Stein Latent Optimization for Generative Adversarial Networks. | Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon |
| 2021 | ICLR | Removing Undesirable Feature Contributions Using Out-of-Distribution Data. | Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon |
| 2021 | IROS | A Morphing Quadrotor that Can Optimize Morphology for Transportation. | Chanyoung Kim, Hyungyu Lee, Myeongwoo Jeong, Hyun Myung |
| 2021 | IROS | Low-level Pose Control of Tilting Multirotor for Wall Perching Tasks Using Reinforcement Learning. | Hyungyu Lee, Myeongwoo Jeong, Chanyoung Kim, Hyungtae Lim, Changgue Park, Sungwon Hwang, Hyun Myung |
| 2020 | CVPR | Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. | Saehyung Lee, Hyungyu Lee, Sungroh Yoon |