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 (WSC, 2019)

Integrating machine learning into item response theory for addressing the cold start problem in adaptive learning systems. - Konstantinos Pliakos; Seang-Hwane Joo; Jung Yeon Park; Frederik Cornillie; Celine Vens; Wim van den Noortgate (Comput. Educ., 2019)

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis. - Jung Yeon Park; Kenneth Theo Carr; Stephan Zheng; Yisong Yue; Rose Yu (ICML, 2020)

Cognitive support for assembly operations by means of augmented reality: an exploratory study. - Pieter Vanneste; Yi Huang; Jung Yeon Park; Frederik Cornillie; Bart Decloedt; Wim van den Noortgate (Int. J. Hum. Comput. Stud., 2020)

Generator Surgery for Compressed Sensing. - Niklas Smedemark-Margulies; Jung Yeon Park; Max Daniels; Rose Yu; Jan-Willem van de Meent; Paul Hand (CoRR, 2021)

Learning Symmetric Embeddings for Equivariant World Models. - Jung Yeon Park; Ondrej Biza; Linfeng Zhao; Jan-Willem van de Meent; Robin Walters 001 (ICML, 2022)

Robust Imitation of a Few Demonstrations with a Backwards Model. - Jung Yeon Park; Lawson L. S. Wong (NeurIPS, 2022)

Exploring Emotional and Physiological Reactions to Linguistic Racism: A Case Study in Higher Education. - Linghan Zhang; Jung Yeon Park; Elizabeth T. Kwari (HCI (43), 2023)

The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. - Dian Wang 001; Jung Yeon Park; Neel Sortur; Lawson L. S. Wong; Robin Walters 001; Robert Platt 001 (ICLR, 2023)

Symmetric models for radar response modeling. - Colin Kohler; Nathan Vaska; Ramya Muthukrishnan; Whangbong Choi; Jung Yeon Park; Justin Goodwin; Rajmonda Caceres; Robin Walters 001 (NeurReps, 2023)

A General Theory of Correct, Incorrect, and Extrinsic Equivariance. - Dian Wang 001; Xupeng Zhu; Jung Yeon Park; Mingxi Jia; Guanang Su; Robert Platt 001; Robin Walters 001 (NeurIPS, 2023)

Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing. - Jung Yeon Park; Lawson L. S. Wong; Robin Walters 001 (NeurIPS, 2023)

A General Theory of Correct, Incorrect, and Extrinsic Equivariance. - Dian Wang 001; Xupeng Zhu; Jung Yeon Park; Robert Platt 001; Robin Walters 001 (CoRR, 2023)

Can Euclidean Symmetry be Leveraged in Reinforcement Learning and Planning? - Linfeng Zhao; Owen Howell; Jung Yeon Park; Xupeng Zhu; Robin Walters 001; Lawson L. S. Wong (CoRR, 2023)

Equivariant Action Sampling for Reinforcement Learning and Planning. - Linfeng Zhao; Owen Howell; Xupeng Zhu; Jung Yeon Park; Zhewen Zhang; Robin Walters 001; Lawson L. S. Wong (CoRR, 2024)

Approximate Equivariance in Reinforcement Learning. - Jung Yeon Park; Sujay Bhatt; Sihan Zeng; Lawson L. S. Wong; Alec Koppel; Sumitra Ganesh; Robin Walters 001 (AISTATS, 2025)

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 (HCI (61), 2025)