| Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment Z Shou, X Chen, Y Fu, X Di Transportation Research Part C: Emerging Technologies 137, 103560, 2022 | 71* | 2022 |
| Dynamic driving and routing games for autonomous vehicles on networks: A mean field game approach K Huang, X Chen, X Di, Q Du Transportation Research Part C: Emerging Technologies 128, 103189, 2021 | 42 | 2021 |
| Ridesharing user equilibrium with nodal matching cost and its implications for congestion tolling and platform pricing X Chen, X Di Transportation Research Part C: Emerging Technologies 129, 103233, 2021 | 35 | 2021 |
| Liability design for autonomous vehicles and human-driven vehicles: A hierarchical game-theoretic approach X Di, X Chen, E Talley Transportation Research Part C: Emerging Technologies 118, 102710, 2020 | 32 | 2020 |
| Sentiment Analysis on Multimodal Transportation during the COVID-19 Using Social Media Data X Chen, Z Wang, X Di Information 14 (2), 2023 | 11 | 2023 |
| SMART-eFlo: An integrated SUMO-gym framework for multi-agent reinforcement learning in electric fleet management problem S Liu, Y Wang, X Chen, Y Fu, X Di 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 11 | 2022 |
| A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games X Chen, S Liu, X Di International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2023 | 10 | 2023 |
| How the covid-19 pandemic influences human mobility? similarity analysis leveraging social media data X Chen, X Di 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 8 | 2022 |
| Sentiment analysis of autonomous vehicles after extreme events using social media data X Chen, H Zeng, H Xu, X Di 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| A unified network equilibrium for e-hailing platform operation and customer mode choice X Chen, X Di arXiv preprint arXiv:2203.04865, 2022 | 7 | 2022 |
| Learning Dual Mean Field Games on Graphs X Chen, S Liu, X Di 26th European Conference on Artificial Intelligence ECAI 2023 372 (10.3233 …, 2023 | 6 | 2023 |
| Physics-Informed Neural Operator for Coupled Forward-Backward Partial Differential Equations X Chen, Y Fu, S Liu, X Di ICML 2023 Workshop SynS and ML, 2023 | 4 | 2023 |
| Social learning in markov games: Empowering autonomous driving X Chen, Z Li, X Di 2022 IEEE Intelligent Vehicles Symposium (IV), 478-483, 2022 | 4 | 2022 |
| Scalable learning for spatiotemporal mean field games using physics-informed neural operator S Liu, X Chen, X Di Mathematics 12 (6), 803, 2024 | 3 | 2024 |
| DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving Y Fu, A Jain, X Di, X Chen, Z Mo IEEE International Automated Vehicle Validation Conference (IAVVC 2024), 2024 | 2 | 2024 |
| Can LLMs Understand Social Norms in Autonomous Driving Games? B Wang, H Duan, Y Feng, X Chen, Y Fu, Z Mo, X Di IEEE International Automated Vehicle Validation Conference (IAVVC 2024), 2024 | 2 | 2024 |
| Graphon Mean Field Games with A Representative Player: Analysis and Learning Algorithm F Zhou, C Zhang, X Chen, X Di The 41st International Conference on Machine Learning (ICML 2024), 2024 | 2 | 2024 |
| Legal Framework for Rear-End Crashes in Mixed Traffic Platooning: A Matrix Game Approach X Chen, X Di Future Transportation, 2023 | 2 | 2023 |
| A Game-Theoretic Framework for Generic Second-Order Traffic Flow Models Using Mean Field Games and Adversarial Inverse Reinforcement Learning X Chen, Z Mo, X Di, E Iacomini, C Segala, M Herty, M Lauriere Transportation Science, 2024 | 1 | 2024 |
| A Single Online Agent Can Efficiently Learn Mean Field Games C Zhang, X Chen, X Di 27th European Conference on Artificial Intelligence (ECAI 2024), 2024 | 1 | 2024 |
Zechu LiColumbia University, MITOverená e-mailová adresa na: columbia.edu