 
							
							朱力
博士 、教授
 
							
							博士 、教授
| 办公电话:51688326 | 电子邮件: lizhu@bjtu.edu.cn | 
| 通讯地址:交大科技大厦7层 | 邮编:100044 | 
2006年6月毕业于北京交通大学电子信息工程学院自动化专业,获工学学士学位。
2012年6月毕业于北京交通大学电子信息工程学院,获工学博士学位。
2009-10年期间与加拿大卡尔顿大学访学,从事随机系统控制优化工作。
2012年7月-2014年11月 北京交通大学国家重点实验室,讲师
2014年12月-至今 北京交通大学国家重点实验室,副教授
2019年12月-至今 北京交通大学国家重点实验室,教授
担任本科生课程《人工智能技术基础》。
担任研究生课程《人工智能算法原理与实践》。
担任博士生课程《交通系统认知计算》。
Journal Papers
Y. Li, S. Liu, L. Zhu and H. Wang, "Neural Fictitious-Self Play Based Cyber-Layer Defense for Frequency Control in Microgrids against FDI Attacks," in IEEE Transactions on Consumer Electronics 2025.
T. Gong, L. Zhu, Y. Li, S. Ma, F. R. Yu and T. Tang, "Edge Intelligence Enhanced Monte Carlo Tree Search for Virtually Coupled Train Set Optimal Control," in IEEE Transactions on Mobile Computing, doi: 10.1109/TMC.2025.355614
L. Zhu, Z. Ye, H. Wang, R. Yu and T. Tao, "IoT-Enhanced Generative Al for Dynamic Train Control in Virtually Coupled Train Set Systems," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2025.3546016.
H. Liang, L. Zhu, F. R. Yu and C. Yuen, "Cloud-Edge-End Collaboration for Intelligent Train Regulation Optimization in TACS," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3462708.
Yanan Liang, Li Zhu, Meixin Zhang, Xinjun Gao, Guangming Li, Jian Li, “Blockchain based computing power sharing in urban rail transit: System design and performance improvement,” in Future Generation Computer Systems, Volume 163, 2025, 107381, ISSN 0167-739X.
L. Zhu, Y. Liang and Y. Li, "Towards Optimal Train Control: An Edge Computing Approach With Adaptive Computation Offloading," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2024.3513642.
Z. Ye, L. Zhu, Y. Li, H. Wang, F. R. Yu and T. Tang, "Digital Twin-Driven VCTS Control: An Iterative Apporach using Model-based Reinforcement Learning," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3492183.
Y. Li, L. Zhu, S. Liu, H. Wang, F. R. Yu and B. Cai, "Electric Vehicle Cluster Assisted Multi-Tier Vehicular Edge Computing System: Cross-System Framework Design and Optimization," in IEEE Transactions on Vehicular Technology, 2024, doi: 10.1109/TVT.2024.3430507.
Y. Li, S. Liu and L. Zhu, "A Stochastic Bayesian Game for Securing Secondary Frequency Control of Microgrids Against Spoofing Attacks With Incomplete Information," in IEEE Transactions on Industrial Cyber-Physical Systems, vol. 2, pp. 118-129, 2024, doi: 10.1109/TICPS.2024.3396106.L.
Zhu, L, T. Gong, Siyu Wei, and F. R. Yu. "Collaborative Train and Edge Computing in Edge Intelligence Based Train Autonomous Operation Control Systems ", in IEEE Transactions on Intelligent Transportation Systems, 2024.
			C. Chen, L. Zhu and X. Wang, "Enhancing Subway Efficiency on Y-Shaped Lines: A Dynamic Scheduling Model for Virtual Coupling Train Control," in IEEE Transactions on Intelligent Transportation Systems, 2024 doi: 10.1109/TITS.2024.3360264.
 
		
T. Gong, L. Zhu, F. R. Yu and T. Tang, "Train-to-Edge Cooperative Intelligence for Obstacle Intrusion Detection in Rail Transit," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3355230.
J. Tian, L. Zhu, F. R. Yu, H. Wang and T. Tang, "Optimizing Edge Resources in Intelligent Railway Construction: A Two-Level Game Approach," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2024.3352068.
Y. Li, L. Zhu, H. Wang, F. R. Yu, T. Tang and D. Zhang, "Joint Security and Resources Allocation Scheme Design in Edge Intelligence Enabled CBTCs: A Two-Level Game Theoretic Approach," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 12, pp. 13948-13961, Dec. 2023
L. Zhu, S. Lin, F. R. Yu and Y. Li, "Collaborative Computing Optimization in Train-Edge-Cloud-Based Smart Train Systems Using Risk-sensitive Reinforcement Learning," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2023.3325674,2023.
Zhu, Li, Qingheng Zhuang, Hailin Jiang, Hao Liang, Xinjun Gao, and Wei Wang. "Reliability-aware failure recovery for cloud computing based automatic train supervision systems in urban rail transit using deep reinforcement learning." Journal of Cloud Computing 12, no. 1 (2023): 147.
Zhu, L., Chen, C., Wang, H., Yu, F. R., & Tang, T. (2023). Machine Learning in Urban Rail Transit Systems: A Survey. To appear in IEEE Transactions on Intelligent Transportation Systems.
Liang, Hao, Li Zhu, F. Richard Yu, and Zhaowei Ma. "Blockchain Empowered Edge Intelligence for TACS Obstacle Detection: System Design and Performance Optimization." IEEE Transactions on Industrial Informatics (2023).
Gong, Taiyuan, Li Zhu, F. Richard Yu, and Tao Tang. "Edge Intelligence in Intelligent Transportation Systems: A Survey." IEEE Transactions on Intelligent Transportation Systems (2023).
Liang, Hao, Li Zhu, and F. Richard Yu. "When Blockchain Meets Urban Rail Transit: Current Prospects, Case Studies, and Future Challenges." IEEE Intelligent Transportation Systems Magazine (2023).
Li, Yang, Li Zhu, Jinsong Wu, Hongwei Wang, and F. Richard Yu. "Computation Resource Optimization for Large-scale Intelligent Urban Rail Transit: A Mean-field Game Approach." IEEE Transactions on Vehicular Technology (2023).
Ma, Shuomei, Hongwei Wang, Li Zhu, and Qihe Zhang. "Joint Security and Resilience Control in IIoT-Based Virtual Control Train Sets under Jamming Attacks." IEEE Transactions on Vehicular Technology (2023).
			Yang Li, Shichao Liu, Li Zhu, Bo Chen, "A neural fictitious self-play anti-jamming strategy for secondary frequency control in microgrids with imperfect observations", To Appear in International Journal of Robust and Nonlinear Control (2023)
 
		
L. Zhu, C. Shen, X. Wang, H. Liang, H. Wang, "A Learning Based Intelligent Train Regulation Method With Dynamic Prediction for the Metro Passenger Flow," to appear in IEEE Transactions on Intelligent Transportation Systems 2023
H. Liang, L. Zhu, F. R. Yu and X. Wang, "A Cross-Layer Defense Method for Blockchain Empowered CBTC Systems Against Data Tampering Attacks," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 501-515, Jan. 2023
P. Ning, H. Wang, T. Tang, L. Zhu and X. Wang, "A Service-Oriented Energy Efficient Resource Allocation Approach for Wireless Communications of the Tunnel Construction," to appear in IEEE Transactions on Vehicular Technology 2023
			L. Zhu, H. Liang, H. Wang, B. Ning and T. Tang, "Joint Security and Train Control Design in Blockchain-Empowered CBTC System," in IEEE Internet of Things Journal, vol. 9, no. 11, pp. 8119-8129, 1 June1, 2022
 
		
朱力,梁豪,唐涛等,区块链赋能铁路:应用前景与典型案例分析[J].铁道学报,2022,44(09):79-86.
朱力;李子恒;唐涛等,基于OpenStack的高可用城轨云平台:设计、实现与性能测试[J].铁道学报,2022,10:1-8.
朱力,梁豪,冯浩楠等,基于区块链的城市轨道交通数据共享方法研究[J].中国铁道科学,2022.
朱力,龚泰源,梁豪等,边缘智能在轨道交通中的应用:前景与展望[J]. 电子与信息学报,2022,1-15. DOI:10.11999/JEIT220116.
Wang, Hongwei, Qianqian Zhao, Siyu Lin, Dongliang Cui, Chengcheng Luo, Li Zhu, Xi Wang, and Tao Tang. "A Reinforcement Learning Empowered Cooperative Control Approach for IIoT-Based Virtually Coupled Train Sets." IEEE Transactions on Industrial Informatics 17, no. 7 (2020): 4935-4945.
D. Zhang, F. R. Yu, R. Yang and L. Zhu, "Software-Defined Vehicular Networks With Trust Management: A Deep Reinforcement Learning Approach," in IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 2, pp. 1400-1414, Feb. 2022
Y. Li, L. Zhu, H. Wang, F. R. Yu and S. Liu, "A Cross-Layer Defense Scheme for Edge Intelligence-Enabled CBTC Systems Against MitM Attacks," in IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2286-2298, April 2021.
G. Hua, L. Zhu, J. Wu, C. Shen, L. Zhou and Q. Lin, "Blockchain-Based Federated Learning for Intelligent Control in Heavy Haul Railway," in IEEE Access, vol. 8, pp. 176830-176839, 2021
Zhu, Li; Y. Li, F. R. Yu, B. Ning, T. Tang and X. Wang, "Cross-Layer Defense Methods for Jamming-Resistant CBTC Systems," in IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 11, pp. 7266-7278, Nov. 2021.
S. Liu, I. Zenelis, Y. Li, X. Wang, Q. Li and L. Zhu, "Markov Game for Securing Wide-Area Damping Control Against False Data Injection Attacks," to be appear in IEEE Systems Journal.
J. Feng, F. R. Yu, Q. Pei, J. Du and L. Zhu, "Joint Optimization of Radio and Computational Resources Allocation in Blockchain-Enabled Mobile Edge Computing Systems," in IEEE Transactions on Wireless Communications, vol. 19, no. 6, pp. 4321-4334, June 2020.
X. Wang, L. Zhu, H. Wang, T. Tang and K. Li, "Robust Distributed Cruise Control of Multiple High-Speed Trains Based on Disturbance Observer," in IEEE Transactions on Intelligent Transportation Systems.
J. Feng, F. Richard Yu, Q. Pei, X. Chu, J. Du and L. Zhu, "Cooperative Computation Offloading and Resource Allocation for Blockchain-Enabled Mobile-Edge Computing: A Deep Reinforcement Learning Approach," in IEEE Internet of Things Journal, vol. 7, no. 7, pp. 6214-6228, July 2020
X. Wang, L. Liu, T. Tang, and L. Zhu, “Train-centric CBTC Meets Age of Information in Train-to-Train Communications”, accept by IEEE Transactions on Intelligent Transportation Systems.
X. Wang, L. Liu, L. Zhu, and T. Tang, “Joint Security and QoS Provisioning in Train-Centric CBTC Systems Under Sybil Attacks”, IEEE Access, 7 (2019): 91169-91182.
S. Wang, L. Zhu, K. Xu, L. Zhang, and X. Wang, “Reliability Evaluation for LTE Based CBTC Train Ground Communication Systems,”in Journal of Advanced Transportation, vol. 2019, 11 pages, October 2019.
L. Zhu, D. Yao and H. Zhao, "Reliability Analysis of Next-Generation CBTC Data Communication Systems," in IEEE Transactions on Vehicular Technology, vol. 68, no. 3, pp. 2024-2034, March 2019.
L. Zhu, F. R. Yu, Y. Wang, B. Ning and T. Tang, "Big Data Analytics in Intelligent Transportation Systems: A Survey," in IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 1, pp. 383-398, Jan. 2019.
Li Zhu, Fei Richard Yu, Victor C. M. Leung, Hongwei Wang, Cesar Briso-Rodríguez, and Yan Zhang, “Communications and Networking for Connected Vehicles,” Wireless Communications and Mobile Computing, vol. 2018
Li Zhu, Fei Wang, and Hongli Zhao, “QoS-Aware Resource Allocation for Network Virtualization in an Integrated Train Ground Communication System,” Wireless Communications and Mobile Computing, vol. 2018
L. Zhu, Y. He, F. R. Yu, B. Ning, T. Tang and N. Zhao, "Communication-Based Train Control System Performance Optimization Using Deep Reinforcement Learning," in IEEE Transactions on Vehicular Technology, vol. 66, no. 12, pp. 10705-10717, Dec. 2017
L. Zhu, F. R. Yu, T. Tang and B. Ning, "An Integrated Train–Ground Communication System Using Wireless Network Virtualization: Security and Quality of Service Provisioning," in IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9607-9616, Dec. 2016.
L. Zhu, F. R. Yu, T. Tang and B. Ning, "Handoff Performance Improvements in an Integrated Train-Ground Communication System Based on Wireless Network Virtualization," in IEEE Transactions on Intelligent Transportation Systems, vol. 18, no. 5, pp. 1165-1178, May 2017.
L. Zhu, F.R. Yu, B. Ning, and T. Tang, “Handoff Performance Improvements in MIMO-Enabled Communication-Based Train Control Systems,” IEEE Trans. Intell. Transp. Sys., vol. 13, no. 2, pp. 582-593, June 2012.
L. Zhu, F.R. Yu, B. Ning, and T. Tang, “Cross-Layer Handoff Design in MIMO-Enabled WLANs for Communication-Based Train Control (CBTC) Systems,” IEEE J. Sel. Areas in Comm. (JSAC), vol. 30, no. 4, pp. 719-728, Mar. 2012.
L. Zhu, F. R. Yu, B. Ning, and T. Tang, “Design and Performance Enhancements in Communication-Based Train Control Systems With Coordinated Multipoint Transmission and Reception,” IEEE Trans. Intell. Transp. Sys., vol. 15,pp. 1258–1272, JUN 2014.
L. Zhu, F. R. Yu, B. Ning, and T. Tang, “Communication-Based Train Control (CBTC) Systems With Cooperative Relaying: Design and Performance Analysis,” IEEE Transactions on Vehicular Technology, vol. 63, pp. 2162–2172, JUN 2014.
L. Zhu, F.R. Yu, B. Ning, and T. Tang, “Cross Layer Design for Video Transmissions in Metro Passenger Information Systems,” IEEE Trans. Vehicular Technology, vol. 60, no. 3, pp. 1171-1181, Mar. 2011
L. Zhu, F.R. Yu, B. Ning, and T. Tang, “Handoff Management in Communication-Based Train Control Networks Using Stream Control Transmission Protocol and IEEE802.11p WLANs,” EURASIP Journal on Wireless Communications and Networking, Nov. 2011.
L. Zhu, F.R. Yu, B. Ning, and T. Tang, “Service Availability Analysis in Communication-based Train Control (CBTC) Systems Using WLANs,” Wireless Communications and Mobile Computing , Volume 15, Issue 1, pages 16–29, January 2015
L. Zhu, F.R. Yu, B. Ning, and T. Tang, “Optimal Charging Control for Plug-in Electric Vehicles in Smart Microgrids Fueled by Renewable Energy Sources,” International Journal of Green Energy, vol. 10, no. 9, 2013
L. Zhu, F. R. Yu, B. Ning, and T. Tang, “A joint design of security and quality-of-service (QoS) provisioning in vehicular ad hoc networks with cooperative communications,” EURASIP Journal on Wireless Communications and Networking, 2013
L. Zhu, F.R. Yu and B. Ning, “Video-aware Cross-layer Design in Train-ground Wireless Communication Networks,” IEEE COMSOC MMTC E-Letter, Vol.6, No.2, February 2011 (Invited published)
L. Zhu, B. Ning “Train-Ground Communication System Design In CBTC Based on IEEE 802.11g,” China Railway Science vol. 31, no. 5, pp. 119-124, 2010(EI published in Chinese)
L. Zhu, B. Ning, Hailin Jiang “802.11g Based CBTC Train-Ground Communication Subsystem Modeling and Analysis,” Railway Journal(EI published in Chinese)
			 H. Wang, F.R. Yu, L. Zhu, T. Tang, and B. Ning, “Modeling of Communication-based Train Control (CBTC) Radio Channel with Leaky Waveguide”, IEEE Antennas and Wireless Propagation Letters, vol. 12, pp. 1061-1064, Sept. 2013.
 
		
			H. Wang, F.R. Yu, L. Zhu, T. Tang, and B. Ning, “Finite-State Markov Modeling of Leaky Waveguide Channels in Communication-based Train Control (CBTC) Systems”, IEEE Comm. Letters, vol. 17, no. 7, pp. 1408-1411, July 2013.
 
		
			H. Wang, F.R. Yu, L. Zhu, T. Tang, and B. Ning, "Finite-State Markov Modeling for Wireless Channels in Tunnel Communication-Based Train Control Systems," IEEE Transactions on Intelligent Transportation Systems, vol.15, no.3, pp.1083-1090, June 2014.
 
		
H. Wang, F. Yu, L. Zhu, T. Tang, and B. Ning, “A cognitive control approach to communication-based train control systems,” Intelligent Transportation Systems, IEEE Transactions on, vol. PP, no. 99, pp. 1–14, 2015.
			 Di Wu, Gang Zhu, Li Zhu and Bo Ai, “Trust-based Relay Selection in Relay-based Networks” KSII transactions on internet and information systems, vol.6, no.10, 2012
 
		
Bing Bu, Shuhuan Wen, Jingwei Yang, L. Zhu, “Predictive Function Control for Communication Based Train Systems,” International Journal of Advanced Robotic Systems , vol.10, 2013
Yan Zhang,Tao Tang,Keping Li, MERA jose Manuel, L. Zhu, “Formal Verification of Safety Protocol in Train Control System,” Science China, Vol.54, No.11, pp.3078-3090, 201
K. Li, F. Richard Yu, L. Zhu, T. Tang, and B. Ning, “Cooperative and Cognitive Wireless Networks for Train Control Systems,” Springer/ACM Wireless Networks, Nov. 2015, Vol. 21, Issue 8, pp 2545-2559
			Cheng Wang, Li Zhu, Parameter identification of a class of nonlinear systems based on the multi-innovation identification theory, Journal of the Franklin Institute, Volume 352, Issue 10, October 2015, Pages 4624-4637
 
		
Conference Papers
	
Book Chapter:
Li Zhu, F. Richard Yu, and Fei Wang, Introduction to Communications-Based Train Control,Advances in Communications-Based Train Control (CBTC) Systems, ISBN 978-1-4822-5743-4, CRC Press, 2015.
	L. Zhu and F.R. Yu, “Handoff Management in Wireless Communication-Based Train Control Systems,” In: Shen X., Lin X., Zhang K. (eds) Encyclopedia of Wireless Networks. Springer, 2018.
	
朱力,CBTC车地通信系统跨层设计,北京市优秀博士学位论文,导师:宁滨。
朱力,快速成网条件下城市轨道交通运营组织与风险管控关键技术及应用,城市轨道交通协会科技进步一等奖, 2022
朱力,北京交通大学教书育人先进个人 2022
朱力,北京交通大学优秀共产党员,2024