A Deep Reinforcement Learning based Resource Allocation Method for Urban Rail Transit Cloud Systems. - Ziheng Li; Li Zhu 002; Yang Li 118; Hao Liang 005; Hao Wang (ITSC, 2021)

A Potential Game Based Offloading Scheme for Edge Computing-Enabled Automatic Train Operation Systems. - Siyu Wei; Li Zhu 002; Yang Li 118; Hao Liang 005 (ITSC, 2021)

Markov Game for Securing Wide-Area Damping Control Against False Data Injection Attacks. - Shichao Liu 001; Ilias Zenelis; Yang Li 118; Xiaozhe Wang; Qingyang Li; Li Zhu 002 (IEEE Syst. J., 2021)

A Cross-Layer Defense Scheme for Edge Intelligence-Enabled CBTC Systems Against MitM Attacks. - Yang Li 118; Li Zhu 002; Hongwei Wang 008; F. Richard Yu; Shichao Liu 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Cross-Layer Defense Methods for Jamming-Resistant CBTC Systems. - Li Zhu 002; Yang Li 118; F. Richard Yu; Bin Ning; Tao Tang 004; Xiaoxuan Wang (IEEE Trans. Intell. Transp. Syst., 2021)

Incomplete Information Stochastic Game Theoretic Vulnerability Management for Wide-Area Damping Control Against Cyber Attacks. - Qingyang Li; Yang Li 118; Shichao Liu 001; Xiaozhe Wang; Hicham Chaoui (IEEE J. Emerg. Sel. Topics Circuits Syst., 2022)

Enhancing Dependability Analysis Provisioning in CBTC Wireless Communication System With Age of Information. - Xiaoxuan Wang; Yang Li 118; Tao Jing; Yan Huo; Tao Tang 004 (IEEE Trans. Veh. Technol., 2022)

Computation Resource Optimization for Large-Scale Intelligent Urban Rail Transit: A Mean-Field Game Approach. - Yang Li 118; Li Zhu 002; Jinsong Wu 001; Hongwei Wang 008; F. Richard Yu (IEEE Trans. Veh. Technol., 2023)

Joint Security and Resources Allocation Scheme Design in Edge Intelligence Enabled CBTCs: A Two-Level Game Theoretic Approach. - Yang Li 118; Li Zhu 002; Hongwei Wang 008; F. Richard Yu; Tao Tang 004; Dajun Zhang (IEEE Trans. Intell. Transp. Syst., 2023)

Optimization of Car Flow Management within the Collection System of Heavy-Haul Railway System. - Zhian Qiu; Hongwei Wang 008; Xin Yang 013; Pengfei Ning; Yang Li 118; Xi Wang 020 (ITSC, 2024)

Collaborative Computing Optimization in Train-Edge-Cloud-Based Smart Train Systems Using Risk-Sensitive Reinforcement Learning. - Li Zhu 002; Sen Lin 004; F. Richard Yu; Yang Li 118 (IEEE Trans. Veh. Technol., 2024)

Electric Vehicle Cluster Assisted Multi-Tier Vehicular Edge Computing System: Cross-System Framework Design and Optimization. - Yang Li 118; Li Zhu 002; Shichao Liu 001; Hongwei Wang 008; F. Richard Yu; Baigen Cai (IEEE Trans. Veh. Technol., 2024)

Digital Twin-Driven VCTS Control: An Iterative Apporach Using Model-Based Reinforcement Learning. - Zijie Ye; Li Zhu 002; Yang Li 118; Hongwei Wang 008; F. Richard Yu; Tao Tang 004 (IEEE Trans. Veh. Technol., 2025)

Toward Optimal Train Control: An Edge Computing Approach With Adaptive Computation Offloading. - Li Zhu 002; Yanan Liang; Yang Li 118 (IEEE Internet Things J., 2025)

Neural Fictitious-Self Play-Based Cyber-Layer Defense for Frequency Control in Microgrids Against FDI Attacks. - Yang Li 118; Shichao Liu 001; Li Zhu 002; Hongwei Wang 008 (IEEE Trans. Consumer Electron., 2025)

Edge Intelligence Enhanced Monte Carlo Tree Search for Virtually Coupled Train Set Optimal Control. - Taiyuan Gong; Li Zhu 002; Yang Li 118; Shuomei Ma; F. Richard Yu; Tao Tang 004 (IEEE Trans. Mob. Comput., 2025)