Karush-Kuhn-Tuckert based global optimization algorithm design for solving stability torque allocation of distributed drive electric vehicles. - Xudong Zhang 002; Dietmar Göhlich; Wei Zheng (J. Frankl. Inst., 2017)

Energy-Efficient Toque Allocation Design of Traction and Regenerative Braking for Distributed Drive Electric Vehicles. - Xudong Zhang 002; Dietmar Göhlich; Jiayuan Li (IEEE Trans. Veh. Technol., 2018)

An Integrated Path-following and Yaw Motion Control Strategy for Autonomous Distributed Drive Electric Vehicles with Differential Steering. - Yuan Zou; Ningyuan Guo; Xudong Zhang 002 (IV, 2019)

An Efficient Method for Hopf Bifurcation Control in Fractional-Order Neuron Model. - Shaolong Chen; Yuan Zou; Xudong Zhang 002 (IEEE Access, 2019)

An Online Correction Predictive EMS for a Hybrid Electric Tracked Vehicle Based on Dynamic Programming and Reinforcement Learning. - Jinlong Wu; Yuan Zou; Xudong Zhang 002; Teng Liu; Zehui Kong; Dingbo He (IEEE Access, 2019)

A Cruise Control Method for Connected Vehicle Systems Considering Side Vehicles Merging Behavior. - Tao Zhang 036; Yuan Zou; Xudong Zhang 002; Ningyuan Guo; Wenwei Wang (IEEE Access, 2019)

An Integrated Longitudinal and Lateral Vehicle Following Control System With Radar and Vehicle-to-Vehicle Communication. - Shouyang Wei; Yuan Zou; Xudong Zhang 002; Tao Zhang 036; Xiaoliang Li (IEEE Trans. Veh. Technol., 2019)

Green Light Optimal Speed Advisory System Designed for Electric Vehicles Considering Queuing Effect and Driver's Speed Tracking Error. - Zhaolong Zhang; Yuan Zou; Xudong Zhang 002; Tao Zhang 036 (IEEE Access, 2020)

Predictive Eco-Driving Application Considering Real-World Traffic Flow. - Xudong Zhang 002; Tao Zhang 036; Yuan Zou; Guodong Du 003; Ningyuan Guo (IEEE Access, 2020)

A Real-Time Nonlinear Model Predictive Controller for Yaw Motion Optimization of Distributed Drive Electric Vehicles. - Ningyuan Guo; Basilio Lenzo; Xudong Zhang 002; Yuan Zou; Ruiqing Zhai; Tao Zhang 036 (IEEE Trans. Veh. Technol., 2020)

Data-Driven Based Cruise Control of Connected and Automated Vehicles Under Cyber-Physical System Framework. - Tao Zhang 036; Yuan Zou; Xudong Zhang 002; Ningyuan Guo; Wenwei Wang (IEEE Trans. Intell. Transp. Syst., 2021)

Predictive Energy Management of Plug-in Hybrid Electric Vehicles by Real-Time Optimization and Data-Driven Calibration. - Ningyuan Guo; Xudong Zhang 002; Yuan Zou; Guangze Du; Chao Wang; Lingxiong Guo (IEEE Trans. Veh. Technol., 2022)

Recent Advances in Automated Driving Technologies [From the Guest Editors]. - Basilio Lenzo; Ricardo Pinto de Castro; Yan Chen; Shaobing Xu; Xudong Zhang 002 (IEEE Veh. Technol. Mag., 2022)

Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control. - Guodong Du 003; Yuan Zou; Xudong Zhang 002; Zirui Li; Qi Liu 020 (IEEE Trans. Intell. Transp. Syst., 2023)

Hierarchical path planner for unknown space exploration using reinforcement learning-based intelligent frontier selection. - Jie Fan; Xudong Zhang 002; Yuan Zou (Expert Syst. Appl., 2023)

Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture based on Predictive Reinforcement Learning Control Method. - Guodong Du 003; Yuan Zou; Xudong Zhang 002; Kaiyu Zhao (IV, 2024)

Slope-Steering Motion Planning for Unmanned Tracked Vehicles Based on SSTP-RRT. - Yu Zhang; Xixia Liu; Hongqian Chen; Mianhao Qiu; Yue Zhao; Xudong Zhang 002 (IEEE Access, 2024)

Task-Degradation Aware Adaptive Dynamic Scheduling for Priority-Based Automotive Cyber-Physical Systems. - Kaiyu Zhao; Jinming Wu; Yuan Zou; Xudong Zhang 002; Tianyu Wang (IEEE Access, 2024)

Improving policy training for autonomous driving through randomized ensembled double Q-learning with Transformer encoder feature evaluation. - Jie Fan; Xudong Zhang 002; Yuan Zou; Yuanyuan Li; Yingqun Liu; Wenjing Sun (Appl. Soft Comput., 2024)

Optimization Design Framework for In-Vehicle Time-Sensitive Networking Architecture. - Wenjing Sun; Yuan Zou; Xudong Zhang 002; Ya Wen; Yuanyuan Li; Jie Fan; Yihao Meng; Xiaoran Lu (IEEE Internet Things J., 2024)

Hierarchical path planner combining probabilistic roadmap and deep deterministic policy gradient for unmanned ground vehicles with non-holonomic constraints. - Jie Fan; Xudong Zhang 002; Kun Zheng; Yuan Zou; Nana Zhou (J. Frankl. Inst., 2024)

Graph Attention Network-Based Deep Reinforcement Learning Scheduling Framework for in-Vehicle Time-Sensitive Networking. - Wenjing Sun; Yuan Zou; Nan Guan; Xudong Zhang 002; Guodong Du 003; Ya Wen (IEEE Trans. Ind. Informatics, 2024)

Joint Routing and Scheduling Optimization of In-Vehicle Time-Sensitive Networks Based on Improved Grey Wolf Optimizer. - Wenjing Sun; Yuan Zou; Xudong Zhang 002; Ya Wen; Guodong Du 003; Jiahui Liu 001; Jinming Wu (IEEE Internet Things J., 2024)

IRFS: A CQF Scheduling Method Integrating Queue Resources and Flow Features in Time-Sensitive Networking. - Wenjing Sun; Yuan Zou; Nan Guan; Xudong Zhang 002; Jie Fan; Yihao Meng (IEEE Trans. Veh. Technol., 2024)

Efficient Motion Control for Heterogeneous Autonomous Vehicle Platoon Using Multilayer Predictive Control Framework. - Guodong Du 003; Yuan Zou; Xudong Zhang 002; Jie Fan; Wenjing Sun; Zirui Li (IEEE Internet Things J., 2024)

TriNN: A Concise, Lightweight, and Fast Global Triangulation GNN for Point Cloud. - Yuanyuan Li; Yuan Zou; Xudong Zhang 002; Zheng Zang; Xingkun Li; Wenjing Sun; Jiaqiao Tang (IEEE Trans. Intell. Veh., 2025)

Improved Deep Reinforcement Learning for Efficient Motion Control of Autonomous Vehicle With Domain-Centralized Electronic and Electrical Architecture. - Guodong Du 003; Yuan Zou; Xudong Zhang 002; Jie Fan (IEEE Internet Things J., 2025)

A Systematic Flexible-Window-Based Scheduling Framework for Time-Sensitive Networking. - Wenjing Sun; Yuan Zou; Nan Guan; Xudong Zhang 002; Jiahui Liu 001; Morteza Hashemi Farzaneh (IEEE Internet Things J., 2025)

Hierarchical Path Planning and Motion Control Framework Using Adaptive Scale Based Bidirectional Search and Heuristic Learning Based Predictive Control. - Guodong Du 003; Yuan Zou; Xudong Zhang 002; Zirui Li; Qi Liu 020 (IEEE Trans. Veh. Technol., 2025)

Dependency-Aware Task Offloading Strategy via Heterogeneous Graph Neural Network and Deep Reinforcement Learning. - Jinming Wu; Yuan Zou; Xudong Zhang 002; Jiahui Liu 001; Wenjing Sun; Guodong Du 003 (IEEE Internet Things J., 2025)