| 2025 | AISTATS | Approximate Equivariance in Reinforcement Learning. | Jung Yeon Park, Sujay Bhatt, Sihan Zeng, Lawson L. S. Wong, Alec Koppel, Sumitra Ganesh, Robin Walters |
| 2025 | HCI | Are You With Us? A Real-Time Engagement Analytics with Machine Learning in Online Learning Environments. | Linghan Zhang, Jung Yeon Park, Nirup M. Menon, Nupoor Ranade, Bo Yu, Sheng Tan |
| 2023 | HCI | Exploring Emotional and Physiological Reactions to Linguistic Racism: A Case Study in Higher Education. | Linghan Zhang, Jung Yeon Park, Elizabeth T. Kwari |
| 2023 | ICLR | The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. | Dian Wang, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters, Robert Platt |
| 2022 | ICML | Learning Symmetric Embeddings for Equivariant World Models. | Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, Robin Walters |
| 2020 | ICML | Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. | Jung Yeon Park, Kenneth Theo Carr, Stephan Zheng, Yisong Yue, Rose Yu |
| 2019 | WSC | On the Consequences of Un-Modeled Dynamics to the Optimality of Schedules in Clustered Photolithography Tools. | Hyeong-Ook Kim, Se-Hyeon Park, Jung Yeon Park, James R. Morrison |