| 2026 | ACL | GOAT: A Training Framework for Goal-Oriented Agent with Tools. | Hyunji Min, Sangwon Jung, Junyoung Sung, Dosung Lee, Leekyeung Han, Paul Hongsuck Seo |
| 2025 | CVPR | Multi-Group Proportional Representations for Text-to-Image Models. | Sangwon Jung, Alex Oesterling, Claudio Mayrink Verdun, Sajani Vithana, Taesup Moon, Flvio P. Calmon |
| 2024 | ICLR | Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline. | Donggyu Lee, Sangwon Jung, Taesup Moon |
| 2024 | ICML | Listwise Reward Estimation for Offline Preference-based Reinforcement Learning. | Heewoong Choi, Sangwon Jung, Hongjoon Ahn, Taesup Moon |
| 2023 | AAAI | Issues for Continual Learning in the Presence of Dataset Bias. | Donggyu Lee, Sangwon Jung, Taesup Moon |
| 2023 | ICLR | Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization. | Sangwon Jung, Taeeon Park, Sanghyuk Chun, Taesup Moon |
| 2022 | CVPR | Learning Fair Classifiers with Partially Annotated Group Labels. | Sangwon Jung, Sanghyuk Chun, Taesup Moon |
| 2022 | ICML | Dataset Condensation with Contrastive Signals. | Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon |
| 2022 | NordiCHI | Altered States of Consciousness in Human-Computer Interaction: A Review. | Sangwon Jung, Oguz 'Oz' Buruk, Juho Hamari |
| 2021 | CVPR | Fair Feature Distillation for Visual Recognition. | Sangwon Jung, Donggyu Lee, Taeeon Park, Taesup Moon |
| 2021 | TEI | Designing Gaming Wearables: From Participatory Design to Concept Creation. | Sangwon Jung, Ruowei Xiao, Oguz 'Oz' Buruk, Juho Hamari |