| 2025 | ICCV | Cycle Consistency as Reward: Learning Image-Text Alignment Without Human Preferences. | Hyojin Bahng, Caroline Chan, Frdo Durand, Phillip Isola |
| 2020 | CIKM | ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. | Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo |
| 2020 | CVPR | Exploring Unlabeled Faces for Novel Attribute Discovery. | Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo |
| 2020 | ICML | Learning De-biased Representations with Biased Representations. | Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh |
| 2019 | CVPR | Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. | Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo |
| 2018 | ECCV | Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. | Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo |
| 2018 | IJCAI | MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. | David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park |