Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. - Yuli Zhang; Shangbo Wang; Xiaoguang Ma; Wenwei Yue; Ruiyuan Jiang (ITSC, 2023)

A Joint Traffic Flow Estimation and Prediction Approach for Urban Networks. - Ruiyuan Jiang; Shangbo Wang; Yuli Zhang; Valerio Selis (PerCom Workshops, 2023)

Large-Scale Traffic Signal Control by a Nash Deep Q-network Approach. - Yuli Zhang; Shangbo Wang; Ruiyuan Jiang (CoRR, 2023)

A Dynamic Temporal Self-attention Graph Convolutional Network for Traffic Prediction. - Ruiyuan Jiang; Shangbo Wang; Yuli Zhang (CoRR, 2023)

A knowledge-informed dynamic correlation modeling framework for lane-level traffic flow prediction. - Ruiyuan Jiang; Shangbo Wang; Wei Ma; Yuli Zhang; Pengfei Fan; Dongyao Jia (Inf. Fusion, 2025)

Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control. - Yuli Zhang; Shangbo Wang; Dongyao Jia; Pengfei Fan; Ruiyuan Jiang; Hankang Gu; Andy H. F. Chow (CoRR, 2025)

An Adaptive Prediction Model for Randomly Distributed Traffic Data in Urban Road Networks. - Ruiyuan Jiang; Shangbo Wang; Dongyao Jia; Guoqiang Mao; Eng Gee Lim (IEEE Trans. Veh. Technol., 2025)

Integrating Vehicle Acoustic Data for Enhanced Urban Traffic Management: A Study on Speed Classification in Suzhou. - Pengfei Fan; Yuli Zhang; Xinheng Wang; Ruiyuan Jiang; Hankang Gu; Dongyao Jia; Shangbo Wang (CoRR, 2025)

A Joint Topology-Data Fusion Graph Network for Robust Traffic Speed Prediction with Data Anomalism. - Ruiyuan Jiang; Dongyao Jia; Eng Gee Lim; Pengfei Fan; Yuli Zhang; Shangbo Wang (CoRR, 2025)