| 2025 | AAAI | Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning. | Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn |
| 2025 | MICCAI | PRADA: Protecting and Detecting Dataset Abuse for Open-Source Medical Dataset. | Jinhyeok Jang, Hong Joo Lee, Nassir Navab, Seong Tae Kim |
| 2024 | AAAI | Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role. | Jinhyeok Jang, Chan-Hyun Youn, Minsu Jeon, Changha Lee |
| 2024 | ECCV | Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-Wise Hidden Bias. | Jinhyeok Jang, ByungOk Han, Jaehong Kim, Chan-Hyun Youn |
| 2023 | ICML | Learning to Boost Training by Periodic Nowcasting Near Future Weights. | Jinhyeok Jang, Woo-han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, ByungOk Han |
| 2023 | MICCAI | Video-Based Gait Analysis for Assessing Alzheimer's Disease and Dementia with Lewy Bodies. | Diwei Wang, Chaima Zouaoui, Jinhyeok Jang, Hassen Drira, Hyewon Seo |
| 2022 | RO-MAN | Real-world Validation Study of Daily Activity Detection for the Elderly. | Miyoung Cho, Jinhyeok Jang, Jaeyeon Lee, Minsu Jang, Dohyung Kim, Jaehong Kim |
| 2020 | IROS | ETRI-Activity3D: A Large-Scale RGB-D Dataset for Robots to Recognize Daily Activities of the Elderly. | Jinhyeok Jang, Dohyung Kim, Cheonshu Park, Minsu Jang, Jaeyeon Lee, Jaehong Kim |
| 2017 | ICASSP | Color channel-wise recurrent learning for facial expression recognition. | Jinhyeok Jang, Dae Hoe Kim, Hyungil Kim, Yong Man Ro |