Xuan Di

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 57

Top Topics

Traffic Signal Control

Autonomous Vehicles

Top Venues

Publications

Bowen Fang, Zixiao Yang, Shukai Wang, Xuan Di
TraveLLM: Could you plan my new public transit route in face of a network disruption? CoRR (2024)
Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm. CoRR (2024)
Yongjie Fu, Mehmet Kerem Türkcan, Vikram Anantha, Zoran Kostic, Gil Zussman, Xuan Di
Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection. IV (2024)
Yupei Shu, Xu Chen, Xuan Di
Mobility Pattern Analysis during Russia-Ukraine War Using Twitter Location Data. Inf. 15 (2) (2024)
Kangrui Ruan, Xuan Di
InfoSTGCAN: An Information-Maximizing Spatial-Temporal Graph Convolutional Attention Network for Heterogeneous Human Trajectory Prediction. Comput. 13 (6) (2024)
Zhaobin Mo, Yongjie Fu, Xuan Di
PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction. AAMAS (2024)
Bowen Fang, Xu Chen, Xuan Di
Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem. CoRR (2024)
Chenyu Zhang, Xu Chen, Xuan Di
A Single Online Agent Can Efficiently Learn Mean Field Games. CoRR (2024)
Bowen Fang, Xu Chen, Zhengkun Pan, Xuan Di
SLAMuZero: Plan and Learn to Map for Joint SLAM and Navigation. ICAPS (2024)
Xu Chen, Shuo Liu, Xuan Di
Physics-Informed Graph Neural Operator for Mean Field Games on Graph: A Scalable Learning Approach. Games 15 (2) (2024)
Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
Causal Imitation Learning via Inverse Reinforcement Learning. ICLR (2023)
Ekin Ozer, Arman Malekloo, Wasim Ramadan, Thanh T. X. Tran, Xuan Di
Systemic reliability of bridge networks with mobile sensing-based model updating for postevent transportation decisions. Comput. Aided Civ. Infrastructure Eng. 38 (8) (2023)
Zhaobin Mo, Xuan Di, Rongye Shi
Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection. Games 14 (1) (2023)
Yongjie Fu, Xuan Di
Federated Reinforcement Learning for Adaptive Traffic Signal Control: A Case Study in New York City. ITSC (2023)
Xu Chen, Zihe Wang, Xuan Di
Sentiment Analysis on Multimodal Transportation during the COVID-19 Using Social Media Data. Inf. 14 (2) (2023)
Xu Chen, Shuo Liu, Xuan Di
Learning Dual Mean Field Games on Graphs. ECAI (2023)
Xu Chen, Shuo Liu, Xuan Di
A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games. AAMAS (2023)
Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook. Algorithms 16 (6) (2023)
Xuan Di, Yiqiao Yin, Yongjie Fu, Zhaobin Mo, Shaw-Hwa Lo, Carolyn DiGuiseppi, David W. Eby, Linda L. Hill, Thelma J. Mielenz, David Strogatz, Minjae Kim, Guohua Li
Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score. Artif. Intell. Medicine 138 (2023)
Xu Chen, Yishi Wang, Xuan Di
Whose Attitudes Toward Transit Are Most Affected by Rising Subway Crimes in New York City? ITSC (2023)
Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook. CoRR (2023)
Xu Chen, Xuan Di, Zechu Li
Social Learning for Sequential Driving Dilemmas. Games 14 (3) (2023)
Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di
TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification. ECML/PKDD (3) (2022)
Xu Chen, Xuan Di
How the COVID-19 Pandemic Influences Human Mobility? Similarity Analysis Leveraging Social Media Data. ITSC (2022)
Zhaobin Mo, Yongjie Fu, Xuan Di
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. ITSC (2022)
Kangrui Ruan, Xuan Di
Learning Human Driving Behaviors with Sequential Causal Imitation Learning. AAAI (2022)
Zhenyu Shou, Xu Chen, Xuan Di
Bayesian Optimization for Multi-Agent Routing in Markov Games. ITSC (2022)
Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di
TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification. CoRR (2022)
Shuo Liu, Yunhao Wang, Xu Chen, Yongjie Fu, Xuan Di
SMART-eFlo: An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem. ITSC (2022)
Xu Chen, Zechu Li, Xuan Di
Social Learning In Markov Games: Empowering Autonomous Driving. IV (2022)
Xu Chen, Xuan Di
A Unified Network Equilibrium for E-Hailing Platform Operation and Customer Mode Choice. CoRR (2022)
Zhaobin Mo, Yongjie Fu, Xuan Di
Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. CoRR (2022)
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Xu Chen, Haohan Zeng, Heng Xu, Xuan Di
Sentiment Analysis of Autonomous Vehicles After Extreme Events Using Social Media Data. ITSC (2021)
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery. CoRR (2021)
Wangzhi Li, Yaxing Cai, Ujwal Dinesha, Yongjie Fu, Xuan Di
CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles. CoRR (2021)
Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
Physics-Informed Deep Learning for Traffic State Estimation. CoRR (2021)
Rongye Shi, Zhaobin Mo, Xuan Di
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. AAAI (2021)
Zhaobin Mo, Xuan Di, Rongye Shi
A Physics-Informed Deep Learning Paradigm for Car-Following Models. CoRR (2020)
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. IV (2020)
Zhenyu Shou, Xuan Di
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning. CoRR (2020)
Xingbo Fu, Xuan Di, Zhaobin Mo
When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning. CoRR (2020)
Zhenyu Shou, Xuan Di
Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm. CoRR (2020)
Kuang Huang, Xu Chen, Xuan Di, Qiang Du
Driving and Routing Game for Autonomous Vehicles on a Network. CoRR (2020)
Zhicheng Li, Zhihao Gu, Xuan Di, Rongye Shi
An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset. CoRR (2020)
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. CoRR (2020)
Meng Li, Xuan Di, Henry X. Liu, Hai-Jun Huang
A restricted path-based ridesharing user equilibrium. J. Intell. Transp. Syst. 24 (4) (2020)
Xuan Di, Rongye Shi
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning. CoRR (2020)
Zhenyu Shou, Zhenhao Cao, Xuan Di
Similarity Analysis of Spatial-Temporal Mobility Patterns for Travel Mode Prediction Using Twitter Data. ITSC (2020)
Kuang Huang, Xuan Di, Qiang Du, Xi Chen
A Game-Theoretic Framework for Autonomous Vehicles Velocity Control: Bridging Microscopic Differential Games and Macroscopic Mean Field Games. CoRR (2019)
Xuan Di, Yan Zhao, Shihong Ed Huang, Henry X. Liu
A Similitude Theory for Modeling Traffic Flow Dynamics. IEEE Trans. Intell. Transp. Syst. 20 (3) (2019)
Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach. CoRR (2019)
Kuang Huang, Xuan Di, Qiang Du, Xi Chen
Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach. CoRR (2019)
Xuan Di, Xu Chen, Eric Talley
Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach. CoRR (2019)
Kuang Huang, Xuan Di, Qiang Du, Xi Chen
Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach. ITSC (2019)
Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong
Large-scale short-term urban taxi demand forecasting using deep learning. ASP-DAC (2018)
Qi Luo, Xuechun Dou, Xuan Di, Robert Cornelius Hampshire
Multimodal Connections between Dockless Bikesharing and Ride-Hailing: An Empirical Study in New York City. ITSC (2018)