Xuan Di - RankMe

95 papers A* 7A 4C 3Journal 57Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Simple vs. Optimal Congestion Pricing. CoRR Devansh Jalota, Xuan Di, Adam N. Elmachtoub
2025	—	`conf`	A Traffic Risk Semantic Framework for Enhanced Trajectory Prediction and Explainable Risk Assessment in Autonomous Driving. HCI (82) Anjon Basak, Xuan Di, Adrienne Raglin
2025	—	`conf`	A Unified Network Equilibrium for Integrated Shared Mobility Services. ITSC Xu Chen, Bowen Fang, Xuan Di
2025	J	`jnl`	AI-Powered Urban Transportation Digital Twin: Methods and Applications. CoRR Xuan Di, Yongjie Fu, Mehmet Kerem Türkcan, Mahshid Ghasemi, Zhaobin Mo, Chengbo Zang, Abhishek Adhikari, Zoran Kostic, Gil Zussman
2025	J	`jnl`	Do Math Reasoning LLMs Help Predict the Impact of Public Transit Events? CoRR Bowen Fang, Ruijian Zha, Xuan Di
2025	J	`jnl`	Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control. CoRR Yongjie Fu, Lingyun Zhong, Zifan Li, Xuan Di
2025	J	`jnl`	Generative AI for Autonomous Driving: Frontiers and Opportunities. CoRR Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu
2025	J	`jnl`	InSPECT: Invariant Spectral Features Preservation of Diffusion Models. CoRR Baohua Yan, Qingyuan Liu, Jennifer Kava, Xuan Di
2025	J	`jnl`	LLM-based Realistic Safety-Critical Driving Video Generation. CoRR Yongjie Fu, Ruijian Zha, Pei Tian, Xuan Di
2025	—	`conf`	Learn to Tour: Operator Design for Solution Feasibility Mapping in Pickup-and-Delivery Traveling Salesman Problem. ITSC Bowen Fang, Xu Chen, Xuan Di
2025	—	`conf`	Learning Traffic States and Fundamental Diagram via Physics-Informed Neural Operators. ITSC Qi Gao, Xuan Di
2025	J	`jnl`	Machine learning unveils temperature and mobility as critical predictors of urban crime in New York City (2008-2022): insights for sustainable urban systems. Int. J. Digit. Earth Mengling Qiao, Masahiko Haraguchi, Xuan Di, Adam Nayak, Upmanu Lall
2025	J	`jnl`	Mean field games for urban mobility: a review. Sci. China Inf. Sci. Xuan Di, Zhenhui Xu, Tielong Shen
2025	—	`conf`	MetaLLMetro: LLM-Centric Virtual Reality Navigation Platform for Metro Stations. ITSC Yongjie Fu, Bowen Fang, Mengxuan Liu, Xuan Di
2025	J	`jnl`	SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets. CoRR Zhaobin Mo, Yunlong Li, Xuan Di
2025	—	`conf`	SliDeR-VLM: Interpretable Collision Prediction via Sliding-Window Depth-Enhanced Vision-Language Models. ITSC Ruijian Zha, Bojun Liu, Yongjie Fu, Xuan Di
2025	J	`jnl`	Special Issue on Machine Learning Methods for Urban Passenger Mobility. Transp. Sci. Xuan Di, Sean Qian, Carolina Osorio
2025	A*	`conf`	Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation. ICLR Chenyu Zhang, Xu Chen, Xuan Di
2025	—	`conf`	TraveLLM: Could You Plan My Public Transit Alternatives in Face of a Network Disruption? ITSC Bowen Fang, Zixiao Yang, Xuan Di
2025	J	`jnl`	diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs. CoRR Zhaobin Mo, Haotian Xiang, Xuan Di
2025	J	`jnl`	diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs. Transp. Sci. Zhaobin Mo, Haotian Xiang, Xuan Di
2025	J	`jnl`	α-Potential Games for Decentralized Control of Connected and Automated Vehicles. CoRR Xuan Di, Anran Hu, Zhexin Wang, Yufei Zhang
2024	J	`jnl`	A Game-Theoretic Framework for Generic Second-Order Traffic Flow Models Using Mean Field Games and Adversarial Inverse Reinforcement Learning. Transp. Sci. Zhaobin Mo, Xu Chen, Xuan Di, Elisa Iacomini, Chiara Segala, Michael Herty, Mathieu Laurière
2024	A	`conf`	A Single Online Agent Can Efficiently Learn Mean Field Games. ECAI Chenyu Zhang, Xu Chen, Xuan Di
2024	J	`jnl`	A Single Online Agent Can Efficiently Learn Mean Field Games. CoRR Chenyu Zhang, Xu Chen, Xuan Di
2024	J	`jnl`	Can LLMs Understand Social Norms in Autonomous Driving Games? CoRR Boxuan Wang, Haonan Duan, Yanhao Feng, Xu Chen, Yongjie Fu, Zhaobin Mo, Xuan Di
2024	—	`conf`	Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs. ITSC Zhaobin Mo, Qingyuan Liu, Baohua Yan, Longxiang Zhang, Xuan Di
2024	J	`jnl`	Causal Adjacency Learning for Spatiotemporal Prediction Over Graphs. CoRR Zhaobin Mo, Qingyuan Liu, Baohua Yan, Longxiang Zhang, Xuan Di
2024	A*	`conf`	Causal Imitation for Markov Decision Processes: a Partial Identification Approach. NeurIPS Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
2024	—	`conf`	Comparative Studies of Neural Operators For Traffic State Estimation. ITSC Qi Gao, Xuan Di
2024	J	`jnl`	Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction. ACM Trans. Spatial Algorithms Syst. Zhaobin Mo, Haotian Xiang, Xuan Di
2024	C	`conf`	Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection. IV Yongjie Fu, Mehmet Kerem Türkcan, Vikram Anantha, Zoran Kostic, Gil Zussman, Xuan Di
2024	J	`jnl`	DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving. CoRR Yongjie Fu, Anmol Jain, Xuan Di, Xu Chen, Zhaobin Mo
2024	—	`conf`	From Twitter to Reasoner: Understand Mobility Travel Modes and Sentiment Using Large Language Models. ITSC Kangrui Ruan, Xinyang Wang, Xuan Di
2024	J	`jnl`	From Twitter to Reasoner: Understand Mobility Travel Modes and Sentiment Using Large Language Models. CoRR Kangrui Ruan, Xinyang Wang, Xuan Di
2024	—	`conf`	GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model. ITSC Yongjie Fu, Yunlong Li, Xuan Di
2024	J	`jnl`	GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model. CoRR Yongjie Fu, Yunlong Li, Xuan Di
2024	A*	`conf`	Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm. ICML Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di
2024	J	`jnl`	Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm. CoRR Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di
2024	J	`jnl`	InfoSTGCAN: An Information-Maximizing Spatial-Temporal Graph Convolutional Attention Network for Heterogeneous Human Trajectory Prediction. Comput. Kangrui Ruan, Xuan Di
2024	J	`jnl`	Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem. CoRR Bowen Fang, Xu Chen, Xuan Di
2024	J	`jnl`	Mobility Pattern Analysis during Russia-Ukraine War Using Twitter Location Data. Inf. Yupei Shu, Xu Chen, Xuan Di
2024	A	`conf`	PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction. AAMAS Zhaobin Mo, Yongjie Fu, Xuan Di
2024	J	`jnl`	Physics-Informed Graph Neural Operator for Mean Field Games on Graph: A Scalable Learning Approach. Games Xu Chen, Shuo Liu, Xuan Di
2024	A*	`conf`	SLAMuZero: Plan and Learn to Map for Joint SLAM and Navigation. ICAPS Bowen Fang, Xu Chen, Zhengkun Pan, Xuan Di
2024	—	`conf`	SafeAug: Safety-Critical Driving Data Augmentation from Naturalistic Datasets. ITSC Yunlong Li, Zhaobin Mo, Xuan Di
2024	J	`jnl`	Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation. CoRR Chenyu Zhang, Xu Chen, Xuan Di
2024	J	`jnl`	TraveLLM: Could you plan my new public transit route in face of a network disruption? CoRR Bowen Fang, Zixiao Yang, Shukai Wang, Xuan Di
2023	A	`conf`	A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games. AAMAS Xu Chen, Shuo Liu, Xuan Di
2023	A*	`conf`	Causal Imitation Learning via Inverse Reinforcement Learning. ICLR Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
2023	J	`jnl`	Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score. Artif. Intell. Medicine 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
2023	—	`conf`	Federated Reinforcement Learning for Adaptive Traffic Signal Control: A Case Study in New York City. ITSC Yongjie Fu, Xuan Di
2023	A	`conf`	Learning Dual Mean Field Games on Graphs. ECAI Xu Chen, Shuo Liu, Xuan Di
2023	J	`jnl`	Physics-Informed Deep Learning For Traffic State Estimation: A Survey and the Outlook. CoRR Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
2023	J	`jnl`	Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook. Algorithms Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu
2023	J	`jnl`	Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection. Games Zhaobin Mo, Xuan Di, Rongye Shi
2023	J	`jnl`	Sentiment Analysis on Multimodal Transportation during the COVID-19 Using Social Media Data. Inf. Xu Chen, Zihe Wang, Xuan Di
2023	J	`jnl`	Social Learning for Sequential Driving Dilemmas. Games Xu Chen, Xuan Di, Zechu Li
2023	J	`jnl`	Systemic reliability of bridge networks with mobile sensing-based model updating for postevent transportation decisions. Comput. Aided Civ. Infrastructure Eng. Ekin Ozer, Arman Malekloo, Wasim Ramadan, Thanh T. X. Tran, Xuan Di
2023	—	`conf`	Whose Attitudes Toward Transit Are Most Affected by Rising Subway Crimes in New York City? ITSC Xu Chen, Yishi Wang, Xuan Di
2022	J	`jnl`	A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation. IEEE Trans. Intell. Transp. Syst. Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
2022	J	`jnl`	A Unified Network Equilibrium for E-Hailing Platform Operation and Customer Mode Choice. CoRR Xu Chen, Xuan Di
2022	—	`conf`	Bayesian Optimization for Multi-Agent Routing in Markov Games. ITSC Zhenyu Shou, Xu Chen, Xuan Di
2022	—	`conf`	How the COVID-19 Pandemic Influences Human Mobility? Similarity Analysis Leveraging Social Media Data. ITSC Xu Chen, Xuan Di
2022	A*	`conf`	Learning Human Driving Behaviors with Sequential Causal Imitation Learning. AAAI Kangrui Ruan, Xuan Di
2022	—	`conf`	Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. ITSC Zhaobin Mo, Yongjie Fu, Xuan Di
2022	J	`jnl`	Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. CoRR Zhaobin Mo, Yongjie Fu, Xuan Di
2022	—	`conf`	SMART-eFlo: An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem. ITSC Shuo Liu, Yunhao Wang, Xu Chen, Yongjie Fu, Xuan Di
2022	C	`conf`	Social Learning In Markov Games: Empowering Autonomous Driving. IV Xu Chen, Zechu Li, Xuan Di
2022	—	`conf`	TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification. ECML/PKDD (3) Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di
2022	J	`jnl`	TrafficFlowGAN: Physics-informed Flow based Generative Adversarial Network for Uncertainty Quantification. CoRR Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di
2021	J	`jnl`	A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery. CoRR Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
2021	J	`jnl`	CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles. CoRR Wangzhi Li, Yaxing Cai, Ujwal Dinesha, Yongjie Fu, Xuan Di
2021	J	`jnl`	Physics-Informed Deep Learning for Traffic State Estimation. CoRR Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du
2021	A*	`conf`	Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. AAAI Rongye Shi, Zhaobin Mo, Xuan Di
2021	—	`conf`	Sentiment Analysis of Autonomous Vehicles After Extreme Events Using Social Media Data. ITSC Xu Chen, Haohan Zeng, Heng Xu, Xuan Di
2020	J	`jnl`	A Physics-Informed Deep Learning Paradigm for Car-Following Models. CoRR Zhaobin Mo, Xuan Di, Rongye Shi
2020	J	`jnl`	A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning. CoRR Xuan Di, Rongye Shi
2020	J	`jnl`	A restricted path-based ridesharing user equilibrium. J. Intell. Transp. Syst. Meng Li, Xuan Di, Henry X. Liu, Hai-Jun Huang
2020	J	`jnl`	An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset. CoRR Zhicheng Li, Zhihao Gu, Xuan Di, Rongye Shi
2020	J	`jnl`	Driving and Routing Game for Autonomous Vehicles on a Network. CoRR Kuang Huang, Xu Chen, Xuan Di, Qiang Du
2020	C	`conf`	Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. IV Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
2020	J	`jnl`	Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. CoRR Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
2020	J	`jnl`	Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm. CoRR Zhenyu Shou, Xuan Di
2020	J	`jnl`	Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning. CoRR Zhenyu Shou, Xuan Di
2020	—	`conf`	Similarity Analysis of Spatial-Temporal Mobility Patterns for Travel Mode Prediction Using Twitter Data. ITSC Zhenyu Shou, Zhenhao Cao, Xuan Di
2020	J	`jnl`	When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning. CoRR Xingbo Fu, Xuan Di, Zhaobin Mo
2019	J	`jnl`	A Game-Theoretic Framework for Autonomous Vehicles Velocity Control: Bridging Microscopic Differential Games and Macroscopic Mean Field Games. CoRR Kuang Huang, Xuan Di, Qiang Du, Xi Chen
2019	J	`jnl`	A Similitude Theory for Modeling Traffic Flow Dynamics. IEEE Trans. Intell. Transp. Syst. Xuan Di, Yan Zhao, Shihong Ed Huang, Henry X. Liu
2019	J	`jnl`	Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach. CoRR Xuan Di, Xu Chen, Eric Talley
2019	—	`conf`	Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach. ITSC Kuang Huang, Xuan Di, Qiang Du, Xi Chen
2019	J	`jnl`	Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach. CoRR Kuang Huang, Xuan Di, Qiang Du, Xi Chen
2019	J	`jnl`	Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach. CoRR Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire
2018	—	`conf`	Large-scale short-term urban taxi demand forecasting using deep learning. ASP-DAC Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong
2018	—	`conf`	Multimodal Connections between Dockless Bikesharing and Ride-Hailing: An Empirical Study in New York City. ITSC Qi Luo, Xuechun Dou, Xuan Di, Robert Cornelius Hampshire