Xuan Di

According to our database, Xuan Di authored at least 43 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mobility Pattern Analysis during Russia-Ukraine War Using Twitter Location Data.

Yupei Shu, Xu Chen, Xuan Di

Inf., February, 2024

2023

Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook.

Xuan Di, Rongye Shi, Zhaobin Mo, Yongjie Fu

Algorithms, June, 2023

Sentiment Analysis on Multimodal Transportation during the COVID-19 Using Social Media Data.

Xu Chen, Zihe Wang, Xuan Di

Inf., February, 2023

Robust Data Sampling in Machine Learning: A Game-Theoretic Framework for Training and Validation Data Selection.

Zhaobin Mo, Xuan Di, Rongye Shi

Games, February, 2023

Social Learning for Sequential Driving Dilemmas.

Xu Chen, Xuan Di, Zechu Li

Games, 2023

Systemic reliability of bridge networks with mobile sensing-based model updating for postevent transportation decisions.

Ekin Ozer, Arman Malekloo, Wasim Ramadan, Thanh T. X. Tran, Xuan Di

Comput. Aided Civ. Infrastructure Eng., 2023

Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score.

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

Artif. Intell. Medicine, 2023

Federated Reinforcement Learning for Adaptive Traffic Signal Control: A Case Study in New York City.

Yongjie Fu, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Whose Attitudes Toward Transit Are Most Affected by Rising Subway Crimes in New York City?

Xu Chen, Yishi Wang, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Causal Imitation Learning via Inverse Reinforcement Learning.

Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Dual Mean Field Games on Graphs.

Xu Chen, Shuo Liu, Xuan Di

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games.

Xu Chen, Shuo Liu, Xuan Di

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

A Physics-Informed Deep Learning Paradigm for Traffic State and Fundamental Diagram Estimation.

Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du

IEEE Trans. Intell. Transp. Syst., 2022

A Unified Network Equilibrium for E-Hailing Platform Operation and Customer Mode Choice.

Xu Chen, Xuan Di

CoRR, 2022

TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification.

Zhaobin Mo, Yongjie Fu, Daran Xu, Xuan Di

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Social Learning In Markov Games: Empowering Autonomous Driving.

Xu Chen, Zechu Li, Xuan Di

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Bayesian Optimization for Multi-Agent Routing in Markov Games.

Zhenyu Shou, Xu Chen, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks.

Zhaobin Mo, Yongjie Fu, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

SMART-eFlo: An Integrated SUMO-Gym Framework for Multi-Agent Reinforcement Learning in Electric Fleet Management Problem.

Shuo Liu, Yunhao Wang, Xu Chen, Yongjie Fu, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

How the COVID-19 Pandemic Influences Human Mobility? Similarity Analysis Leveraging Social Media Data.

Xu Chen, Xuan Di

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Learning Human Driving Behaviors with Sequential Causal Imitation Learning.

Kangrui Ruan, Xuan Di

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Physics-Informed Deep Learning Paradigm for Traffic State Estimation and Fundamental Diagram Discovery.

Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du

CoRR, 2021

CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles.

Wangzhi Li, Yaxing Cai, Ujwal Dinesha, Yongjie Fu, Xuan Di

CoRR, 2021

Physics-Informed Deep Learning for Traffic State Estimation.

Rongye Shi, Zhaobin Mo, Kuang Huang, Xuan Di, Qiang Du

CoRR, 2021

Sentiment Analysis of Autonomous Vehicles After Extreme Events Using Social Media Data.

Xu Chen, Haohan Zeng, Heng Xu, Xuan Di

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models.

Rongye Shi, Zhaobin Mo, Xuan Di

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

A restricted path-based ridesharing user equilibrium.

Meng Li, Xuan Di, Henry X. Liu, Hai-Jun Huang

J. Intell. Transp. Syst., 2020

A Physics-Informed Deep Learning Paradigm for Car-Following Models.

Zhaobin Mo, Xuan Di, Rongye Shi

CoRR, 2020

Driving and Routing Game for Autonomous Vehicles on a Network.

Kuang Huang, Xu Chen, Xuan Di, Qiang Du

CoRR, 2020

Multi-Agent Reinforcement Learning for Dynamic Routing Games: A Unified Paradigm.

Zhenyu Shou, Xuan Di

CoRR, 2020

A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning.

Xuan Di, Rongye Shi

CoRR, 2020

When Do Drivers Concentrate? Attention-based Driver Behavior Modeling With Deep Reinforcement Learning.

Xingbo Fu, Xuan Di, Zhaobin Mo

CoRR, 2020

Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning.

Zhenyu Shou, Xuan Di

CoRR, 2020

An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset.

Zhicheng Li, Zhihao Gu, Xuan Di, Rongye Shi

CoRR, 2020

Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron.

Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Similarity Analysis of Spatial-Temporal Mobility Patterns for Travel Mode Prediction Using Twitter Data.

Zhenyu Shou, Zhenhao Cao, Xuan Di

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

A Similitude Theory for Modeling Traffic Flow Dynamics.

Xuan Di, Yan Zhao, Shihong Ed Huang, Henry X. Liu

IEEE Trans. Intell. Transp. Syst., 2019

Liability Design for Autonomous Vehicles and Human-Driven Vehicles: A Hierarchical Game-Theoretic Approach.

Xuan Di, Xu Chen, Eric Talley

CoRR, 2019

Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach.

Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire

CoRR, 2019

A Game-Theoretic Framework for Autonomous Vehicles Velocity Control: Bridging Microscopic Differential Games and Macroscopic Mean Field Games.

Kuang Huang, Xuan Di, Qiang Du, Xi Chen

CoRR, 2019

Stabilizing Traffic via Autonomous Vehicles: A Continuum Mean Field Game Approach.

Kuang Huang, Xuan Di, Qiang Du, Xi Chen

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Multimodal Connections between Dockless Bikesharing and Ride-Hailing: An Empirical Study in New York City.

Qi Luo, Xuechun Dou, Xuan Di, Robert Cornelius Hampshire

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Large-scale short-term urban taxi demand forecasting using deep learning.

Siyu Liao, Liutong Zhou, Xuan Di, Bo Yuan, Jinjun Xiong

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018