| 2026 | AAAI | Rethinking Direct Preference Optimization in Diffusion Models. | Junyong Kang, Seohyun Lim, Kyungjune Baek, Hyunjung Shim |
| 2026 | WACV | MomentMix Augmentation with Length-Aware DETR for Temporally Robust Moment Retrieval. | Seojeong Park, Jiho Choi, Kyungjune Baek, Hyunjung Shim |
| 2022 | CVPR | Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. | Kyungjune Baek, Hyunjung Shim |
| 2022 | ICPR | Learning from Better Supervision: Self-distillation for Learning with Noisy Labels. | Kyungjune Baek, Seungho Lee, Hyunjung Shim |
| 2022 | IJCAI | Logit Mixing Training for More Reliable and Accurate Prediction. | Duhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim |
| 2021 | ICCV | Rethinking the Truly Unsupervised Image-to-Image Translation. | Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim |
| 2020 | AAAI | PsyNet: Self-Supervised Approach to Object Localization Using Point Symmetric Transformation. | Kyungjune Baek, Minhyun Lee, Hyunjung Shim |
| 2018 | ACCV | Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously. | Kyungjune Baek, Duhyeon Bang, Hyunjung Shim |