Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach. - Xuan Di; Xu Chen 033; Eric Talley (CoRR, 2019)

Sentiment Analysis of Autonomous Vehicles After Extreme Events Using Social Media Data. - Xu Chen 033; Haohan Zeng; Heng Xu; Xuan Di (ITSC, 2021)

How the COVID-19 Pandemic Influences Human Mobility? Similarity Analysis Leveraging Social Media Data. - Xu Chen 033; Xuan Di (ITSC, 2022)

SMART-eFlo: An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem. - Shuo Liu 018; Yunhao Wang; Xu Chen 033; Yongjie Fu; Xuan Di (ITSC, 2022)

Bayesian Optimization for Multi-Agent Routing in Markov Games. - Zhenyu Shou; Xu Chen 033; Xuan Di (ITSC, 2022)

Social Learning In Markov Games: Empowering Autonomous Driving. - Xu Chen 033; Zechu Li; Xuan Di (IV, 2022)

A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games. - Xu Chen 033; Shuo Liu 018; Xuan Di (AAMAS, 2023)

Learning Dual Mean Field Games on Graphs. - Xu Chen 033; Shuo Liu 018; Xuan Di (ECAI, 2023)

Whose Attitudes Toward Transit Are Most Affected by Rising Subway Crimes in New York City? - Xu Chen 033; Yishi Wang; Xuan Di (ITSC, 2023)

Social Learning for Sequential Driving Dilemmas. - Xu Chen 033; Xuan Di; Zechu Li (Games, 2023)

Sentiment Analysis on Multimodal Transportation during the COVID-19 Using Social Media Data. - Xu Chen 033; Zihe Wang; Xuan Di (Inf., 2023)

A Single Online Agent Can Efficiently Learn Mean Field Games. - Chenyu Zhang 002; Xu Chen 033; Xuan Di (ECAI, 2024)

SLAMuZero: Plan and Learn to Map for Joint SLAM and Navigation. - Bowen Fang; Xu Chen 033; Zhengkun Pan; Xuan Di (ICAPS, 2024)

Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm. - Fuzhong Zhou; Chenyu Zhang 002; Xu Chen 033; Xuan Di (ICML, 2024)

Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem. - Bowen Fang; Xu Chen 033; Xuan Di (CoRR, 2024)

Can LLMs Understand Social Norms in Autonomous Driving Games? - Boxuan Wang; Haonan Duan 003; Yanhao Feng; Xu Chen 033; Yongjie Fu; Zhaobin Mo; Xuan Di (CoRR, 2024)

DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving. - Yongjie Fu; Anmol Jain; Xuan Di; Xu Chen 033; Zhaobin Mo (CoRR, 2024)

A Game-Theoretic Framework for Generic Second-Order Traffic Flow Models Using Mean Field Games and Adversarial Inverse Reinforcement Learning. - Zhaobin Mo; Xu Chen 033; Xuan Di; Elisa Iacomini; Chiara Segala; Michael Herty; Mathieu Laurière (Transp. Sci., 2024)

Mobility Pattern Analysis during Russia-Ukraine War Using Twitter Location Data. - Yupei Shu; Xu Chen 033; Xuan Di (Inf., 2024)

Physics-Informed Graph Neural Operator for Mean Field Games on Graph: A Scalable Learning Approach. - Xu Chen 033; Shuo Liu 018; Xuan Di (Games, 2024)

Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation. - Chenyu Zhang 002; Xu Chen 033; Xuan Di (ICLR, 2025)