| 2025 | HCI | A Traffic Risk Semantic Framework for Enhanced Trajectory Prediction and Explainable Risk Assessment in Autonomous Driving. | Anjon Basak, Xuan Di, Adrienne Raglin |
| 2025 | ICLR | Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation. | Chenyu Zhang, Xu Chen, Xuan Di |
| 2024 | ECAI | A Single Online Agent Can Efficiently Learn Mean Field Games. | Chenyu Zhang, Xu Chen, Xuan Di |
| 2024 | ICAPS | SLAMuZero: Plan and Learn to Map for Joint SLAM and Navigation. | Bowen Fang, Xu Chen, Zhengkun Pan, Xuan Di |
| 2024 | ICML | Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm. | Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di |
| 2023 | ECAI | Learning Dual Mean Field Games on Graphs. | Xu Chen, Shuo Liu, Xuan Di |
| 2023 | ICLR | Causal Imitation Learning via Inverse Reinforcement Learning. | Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim |
| 2022 | AAAI | Learning Human Driving Behaviors with Sequential Causal Imitation Learning. | Kangrui Ruan, Xuan Di |
| 2021 | AAAI | Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. | Rongye Shi, Zhaobin Mo, Xuan Di |
| 2018 | ASPDAC | Large-scale short-term urban taxi demand forecasting using deep learning. | Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong |