| 2024 | ICLR | On Trajectory Augmentations for Off-Policy Evaluation. | Ge Gao, Qitong Gao, Xi Yang, Song Ju, Miroslav Pajic, Min Chi |
| 2022 | AIED | Student-Tutor Mixed-Initiative Decision-Making Supported by Deep Reinforcement Learning. | Song Ju, Xi Yang, Tiffany Barnes, Min Chi |
| 2021 | AIED | Evaluating Critical Reinforcement Learning Framework in the Field. | Song Ju, Guojing Zhou, Mark Abdelshiheed, Tiffany Barnes, Min Chi |
| 2021 | CogSci | Preparing Unprepared Students For Future Learning. | Mark Abdelshiheed, Mehak Maniktala, Song Ju, Ayush Jain, Tiffany Barnes, Min Chi |
| 2020 | EDM | Pick the Moment: Identifying Critical Pedagogical Decisions Using Long-Short Term Rewards. | Song Ju, Min Chi, Guojing Zhou |
| 2019 | EDM | Importance Sampling to Identify Empirically Valid Policies and their Critical Decisions. | Song Ju, Shitian Shen, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |
| 2019 | EDM | Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning. | Song Ju, Guojing Zhou, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |