CVLight: Deep Reinforcement Learning for Adaptive Traffic Signal Control with Connected Vehicles. - Wangzhi Li; Yaxing Cai; Ujwal Dinesha; Yongjie Fu; Xuan Di (CoRR, 2021)

An L-Band Phased Array Radiometer for Sea Surface Salinity in Coastal Zones. - Hailiang Lu; Hao Li 049; Yayun Cheng; Dong Zhu; Yinan Li 003; Pengju Dang; Rongchuan Lv; Rui Yu; Yongjie Fu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

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

Quantifying Uncertainty In Traffic State Estimation Using Generative Adversarial Networks. - Zhaobin Mo; Yongjie Fu; Xuan Di (ITSC, 2022)

TrafficFlowGAN: Physics-Informed Flow Based Generative Adversarial Network for Uncertainty Quantification. - Zhaobin Mo; Yongjie Fu; Daran Xu; Xuan Di (ECML/PKDD (3), 2022)

Federated Reinforcement Learning for Adaptive Traffic Signal Control: A Case Study in New York City. - Yongjie Fu; Xuan Di (ITSC, 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)

Physics-Informed Deep Learning for Traffic State Estimation: A Survey and the Outlook. - Xuan Di; Rongye Shi; Zhaobin Mo; Yongjie Fu (Algorithms, 2023)

An Interpretable Time Series Data Prediction Framework for Severe Accidents in Nuclear Power Plants. - Yongjie Fu; Dazhi Zhang; Yunlong Xiao; Zhihui Wang; Huabing Zhou (Entropy, 2023)

PI-NeuGODE: Physics-Informed Graph Neural Ordinary Differential Equations for Spatiotemporal Trajectory Prediction. - Zhaobin Mo; Yongjie Fu; Xuan Di (AAMAS, 2024)

GenDDS: Generating Diverse Driving Video Scenarios with Prompt-to-Video Generative Model. - Yongjie Fu; Yunlong Li; Xuan Di (ITSC, 2024)

Digital Twin for Pedestrian Safety Warning at a Single Urban Traffic Intersection. - Yongjie Fu; Mehmet Kerem Türkcan; Vikram Anantha; Zoran Kostic; Gil Zussman; Xuan Di (IV, 2024)

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

AI-Powered Urban Transportation Digital Twin: Methods and Applications. - Xuan Di; Yongjie Fu; Mehmet Kerem Türkcan; Mahshid Ghasemi; Zhaobin Mo; Chengbo Zang; Abhishek Adhikari; Zoran Kostic; Gil Zussman (CoRR, 2025)

Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control. - Yongjie Fu; Lingyun Zhong; Zifan Li; Xuan Di (CoRR, 2025)

LLM-based Realistic Safety-Critical Driving Video Generation. - Yongjie Fu; Ruijian Zha; Pei Tian; Xuan Di (CoRR, 2025)