朱力

博士、教授

基本信息

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

教育背景

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, 加拿大卡尔顿大学,从事随机系统控制优化工作。

工作经历

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

研究方向

  • 人工智能
  • 交通智能控制与优化
  • 交通系统感知与大数据
  • 控制工程
  • 交通系统仿真与测试
  • 新一代电子信息技术
  • 网络与信息安全

招生专业

  • 人工智能硕士
  • 控制工程硕士
  • 控制工程博士
  • 交通信息工程及控制博士
  • 交通信息工程及控制硕士
  • 新一代电子信息技术(含量子技术等)硕士
  • 人工智能博士
  • 新一代电子信息技术(含量子技术等)博士
  • 网络与信息安全博士

科研项目

  • 北京市自然基金“轨道交通联合”: 城市轨道交通及低空飞行环境的边缘协同通用视觉感知研究, 2024-2027
  • 自然科学横向项目: 城轨车地异构通信下端边云协同机制与智能调配技术研究, 2024-2026
  • 自然科学横向项目: 基于机器学习的自动驾驶模型的实现与优化, 2024-2026
  • 自然科学横向项目: 重载列车多维感知综合监测分析及仿真决策平台技术服务-时空同步及数据传输技术开发, 2024-2026
  • 自然科学横向项目: 重载列车多维感知综合监测分析及仿真决策平台技术服务, 2024-2026
  • 基础研究项目: 基于边缘智能的列车自主运行控制方法研究, 2024-2026
  • 红果园省部级"企事业"(新): ***训练, 2024-2025
  • 自然科学横向项目: 基于边缘计算的轨道交通民用通信智能运维系统设计与开发, 2023-2024
  • 国家重点实验室: 列控高可信车车/车地传输技术研究与装备研发, 2023-2026
  • 自然科学横向项目: 信号安全云平台技术合作项目, 2023-2027
  • 铁路总公司(原铁道部)(不再新立项): 我国铁路各专业关键系统全国产化自主可控技术实现方案研究, 2022-2024
  • 铁路总公司(原铁道部)(不再新立项): 强化新型举国体制优势和国铁集团领军企业作用的铁路技术创新体系和机制研究, 2022-2024
  • 北京市自然基金“丰台联合-前沿”: 数据驱动的轨道交通客流精准预测与列车运行动态调整方法, 2023-2025
  • 其它(科技处): 城市轨道交通极端恶劣天气对策和设施设备标准研究, 2023-2024
  • 自然科学横向项目: CBTC车地无线通信系统智能监测与故障预警技术研究与示范应用 ——第三方实验室测试与运营线测试, 2022-2022
  • 自然科学横向项目: 网信动员咨询项目, 2021-2022
  • 自然科学横向项目: 轨道交通信息化咨询, 2022-2024
  • 自然科学横向项目: 灾害监测系统及综合视频监控系统动态检测技术服务项目, 2021-2024
  • 铁路总公司(原铁道部)(不再新立项): 高安全云平台及云列控系统关键技术研究, 2021-2024
  • 红果园(横): 三取二计算机平台软件技术开发, 2021-2023
  • 自然科学横向项目: 基于异构多元架构的智慧城轨云平台关键技术研究, 2021-2024
  • 自然科学横向项目: 时速600公里高速磁浮车地无线通信不同环境场景的单基站的覆盖和仿真, 2021-2026
  • 自然科学横向项目: 掘进机车载网组网和综合测试技术, 2021-2021
  • 川藏铁路专项: 川藏线建设期临时通信系统的设计与优化, 2021-2023
  • 自然科学横向项目: WLAN设备性能测试服务, 2021-2022
  • 自然科学横向项目: LTE-M宽带集群互联互通测试, 2021-2022
  • 北京市自然基金“轨道交通联合”: 客流数据驱动的城市轨道交通列车运行计划动态调整方法研究, 2021-2023
  • 自然科学横向项目: 新一轮线网技术专题研究(运营类)运输服务项目-校内主合同, 2021-2024
  • 国家重点实验室: 基于区块链技术的轨道交通数据共享计算方法研究, 2021-2024
  • 北京市自然基金“轨道交通联合”: 基于5G安全切片的城市轨道交通组网关键技术研究, 2020-2023
  • 北京市自然基金“轨道交通联合”: 基于5G的城市轨道交通智能组网及内生安全关键技术研究, 2020-2023
  • 国家重点研发计划-课题: 5G 网络下多机器人协同架构与通信机制, 2020-2023
  • 自然科学横向项目: 怀化至邵阳至衡阳铁路灾害监测专业联调联试数据分析技术服务, 2020-2021
  • 自然科学横向项目: WLAN/LTE服务质量检测, 2019-2021
  • 自然科学横向项目: TETRA服务质量检测, 2019-2021
  • 自然科学横向项目: LTE-U综合承载性能测试, 2020-2021
  • 自然科学横向项目: 车载PCB优化设计方法, 2020-2021
  • 基本科研业务费研究生创新项目: 面向篡改攻击的列控系统一体化防御策略研究, 2020-2022
  • 北京市教委: 科研项目-北京实验室-城市轨道交通北京实验室-基于可靠私有云的列控仿真平台, 2020-2021
  • 北京市教委: 科研项目-北京实验室-城市轨道交通北京实验室-轨道交通私有云平台建设, 2019-2020
  • 其它: 突发事件下高速铁路运营态势预测评估与智能调度决策调整方法研究, 2019-2021
  • 自然科学横向项目: 基于EMB的轨道交通分布式制动技术研究, 2019-2020
  • 国家自然科学基金“面上”: 面向干扰攻击的列控系统跨层防御方法研究, 2020-2023
  • 自然科学横向项目: 成都轨道交通双机场专线200km/h时速条件下车地无线通信系统专题研究, 2018-2021
  • 铁路总公司(原铁道部)(不再新立项): 川藏铁路建设关键技术瓶颈及对策方案研究, 2018-2021
  • 国家重点实验室: 面向中间人攻击的列控系统信息安全防御策略研究, 2019-2022
  • 其他部市(2020.10起仅限省部级科技计划\基金\专项): 基于CTCS2&CBTC列控系统改造升级方案研究, 2018-2020
  • 北京市科委: 基于资源虚拟化的通用区块链平台关键技术研究与应用示范, 2018-2020
  • 自然科学横向项目: 城市轨道交通列控系统信息安全产品定制化开发, 2019-2024
  • 自然科学横向项目: LTE-M系统试验段测试, 2019-2021
  • 自然科学横向项目: 基于高速移动和复杂环境下CCTV/PIS系统车地无线通信测试, 2018-2020
  • 北京市教委: 北京实验室-城市轨道交通北京 北京实验室-列控系统信息安全渗透测试及风险评估关键技术研究, 2018-2019
  • 重大资助项目: 高速列车自主协同运行控制基础理论, 2018-2024
  • 基础研究项目: 基于机器学习的重载列车智能驾驶方法, 2018-2021
  • 基础研究项目: 面向干扰攻击的列控系统信息安全主动防御策略研究, 2018-2021
  • 自然科学横向项目: LTE-M互联互通测试和集群测试, 2018-2019
  • 自然科学横向项目: 基于高速移动和复杂环境下PIS车地无线通信研究-华为, 2018-2020
  • 北京市自然基金“面上”: 下一代列控数据通信系统可靠性研究, 2018-2019
  • 自然科学横向项目: 基于高速移动下CCTV/PIS车地无线通信研究-鼎桥, 2017-2020
  • 自然科学横向项目: 基于高速移动和复杂环境下PIS系统车地无线通信研究, 2017-2019
  • 自然科学横向项目: 基于高速移动和复杂环境下PIS系统车地无线通信研究-中兴, 2017-2019
  • 自然科学横向项目: 成都轨道交通高速下通信信号系统车地无线科研专题-中兴, 2017-2018
  • 自然科学横向项目: 成都轨道交通高速下通信信号系统车地无线科研专题, 2017-2019
  • 自然科学横向项目: LTE-M高速下承载信号系统科研专题, 2017-2018
  • 北京市教委: 科研项目-北京实验室-列控系统信息安全关键技术的研究, 2017-2017
  • 自然科学横向项目: 成都轨道交通18号线工程通信信号系统车地宽带无线系统服务, 2016-2019
  • 自然科学横向项目: 高速场景地铁LTE科研专题, 2017-2018
  • 北京市自然基金: 城市轨道交通列控系统信息安全风险监测与主动防御方法研究, 2017-2018
  • 国家重点实验室: 基于大规模稀疏优化方法的地铁网络列车节能时刻表研究, 2017-2018
  • 国家重点实验室: 基于主动防御认证的城轨车地综合承载系统信息安全研究, 2017-2018
  • 国家重点实验室: 列控系统功能安全与信息安全风险综合评估及信息安全风险监测与防御技术研究, 2017-2018
  • 自然科学横向项目: LTE-M承载CBTC技术方案与现场验证服务, 2016-2018
  • 国家自然科学基金"青年基金": 基于深度加强学习的CBTC系统性能优化研究, 2017-2019
  • 铁路总公司(原铁道部)(不再新立项): 铁路信号系统信息安全及防护技术研究-2, 2016-2021
  • 科技部: 轨道交通控制与安全国家重点实验室-第五代移动通信系统原型设计平台—宽带信号发射器, 2016-2017
  • 科技部: 轨道交通控制与安全国家重点实验室—下一代列控系统的车地通信系统仿真、分析与测试, 2016-2017
  • 科技部: 轨道交通控制与安全国家重点实验室—下一代一代列控系统的车地通信系统仿真、分析与测试, 2016-2017
  • 北京市教委: CBTC互联互通测试方法研究和平台搭建, 2016-2016
  • 北京市教委: 科学研究与研究生培养共建项目-科研项目-北京实验室-下一代列控系统关键技术研究及样机研制, 2016-2016
  • 自然科学横向项目: 基于LTE应用于城市轨道交通的车地通信综合承载性能测试和互联互通测试, 2016-2022
  • 国家重点实验室: 延迟信息下重载铁路列车巡航控制及节能优化技术研究, 2016-2018
  • 国家重点实验室: 基于网络虚拟化的城市轨道交通车地通信综合承载系统设计与优化, 2016-2017
  • 国家重点实验室: LTE在下一代列控系统中应用的关键技术研究, 2016-2017
  • 自然科学横向项目: 基于LTE的城市轨道交通综合承载测试, 2016-2025
  • 国家重点实验室: 下一代列控系统的车地通信系统仿真、分析与测试, 2015-2017
  • 北京市科委: LTE-M关键技术研究及装备研制, 2015-2016
  • 2011计划: 轨道交通安全协同创新中心-唐涛(负责人)团队建设项目, 2015-2016
  • 国家重点实验室: 城市轨道交通车地传输性能测量方法研究, 2015-2017
  • 国家自然科学基金"青年基金": 基于协同控制理论的列车间隔实时调整优化方法研究, 2015-2017
  • 自然科学类人才基金项目: CBTC车地通信信道、干扰研究及系统优化, 2014-2016
  • 北京市科委: 城市轨道交通列车控制与调度指挥系统信息安全关键设备研制与示范应用, 2014-2015
  • 国家重点实验室: CBTC车地通信系统信息安全与系统效率联合优化设计研究, 2014-2015
  • 国家重点实验室: 一种基于协同控制的列车间隔调整方法研究, 2014-2015
  • 国家重点实验室: CBTC不确定网络下的列车优化控制方法的研究, 2014-2015
  • 北京市教委: 科学研究与研究生培养共建项目-科研项目-北京实验室-全自动驾驶系统示范工程关键技术研究, 2014-2015
  • 国家重点实验室: 基于协作中继的 CBTC 车地通信系统设计与优化, 2014-2015
  • 北京交大创新科技中心(暂停立项): 轨道交通运行控制系统国家工程研究中心建设项目—平台部分软件算法优化研究与实现 , 2013-2015
  • 博士点基金: 基于协同控制理论的列车间隔调整问题研究, 2014-2016
  • 博士点基金: 基于下一代移动通信关键技术的CBTC车地通信系统跨层设计研究, 2014-2016
  • 北京市科委: 基于TD-LTE的时速120km以上城轨CBTC系统研究, 2013-2014
  • 自然科学横向项目: 轨道交通自动化研究所, 2013-2017
  • 科研专项: CBTC车地通信系统设计,优化与性能分析, 2013-2014
  • 国家重点实验室: CBTC车地通信需求分析及车地通信系统性能优化, 2013-2014
  • 国家自然科学基金“重点”: 面向地下轨道交通的漏泄波导信道建模及应用, 2012-2016
  • 科技部“863”: 列车运行综合优化控制技术-全自动驾驶系统关键技术研究及系统样机研制, 2011-2014

教学工作

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》。


论文/期刊

Journal Papers

  1. 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.

  2.  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, https://doi.org/10.1016/j.future.2024.06.021.

  3. 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.

  4. 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.

  5. 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.
  6. 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.
  7. L. Zhu, 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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
  12. 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.
  13. 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.
  14. 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.
  15. 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).
  16. 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).
  17. 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).
  18. 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).
  19. 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).
  20. 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)
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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
  31. 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. 
  32. 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, 202
  33. 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
  34. 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. 
  35. 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.
  36. 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
  37. 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
  38. 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.
  39. 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.
  40. 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. 
  41. 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.
  42. 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.
  43. 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  
  44. 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 
  45. 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 
  46. 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. 
  47. 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. 
  48.  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. 
  49. 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. 
  50. 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. 
  51. 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. 
  52. 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 
  53.  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. 
  54. 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 
  55.  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 
  56.  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 
  57. 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)
  58. 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, 2010EI published in Chinese
  59. L. Zhu, B. Ning, Hailin Jiang “802.11g Based CBTC Train-Ground Communication Subsystem Modeling and Analysis,”  Railway JournalEI published in Chinese
  60.  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.
  61.  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.
  62.  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.
  63.  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.
  64.  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
  65.  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
  66. Yan ZhangTao TangKeping Li, MERA jose Manuel, L. Zhu, “Formal Verification of Safety Protocol in Train Control System, Science China, Vol.54, No.11, pp.3078-3090, 2011
  67. 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
  68. 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

  1.  Lin, L. Zhu,"Deep Hybrid Learning Based Fault Diagnosis for Data Communication Systems in Communication-Based Train Control Systems," in IEEE International Conference on Intelligent Transportation Systems- ITSC 2022, Oct 2022
  2.  Y. Li, L. Zhu, ”Collaborative Cloud and Edge Computing in 5G based Train Control Systems”,in IEEE Global Communications Conference - GLOBECOM 2022, Dec 2022
  3. Gong, L. Zhu, "Edge Intelligence-based Obstacle Intrusion Detection in Railway Transportation," in IEEE Global Communications Conference- GLOBECOM 2022, Dec 2022
  4. Q. Zhuang, L. Zhu and S. Lin, "A GAN-Bert Based Fault Diagnosis Model for CBTC Data Communication Systems Using Edge-to-edge Collaboration Training," ICC 2022 - IEEE International Conference on Communications, 2022, pp. 5076-5081
  5. C. Chen, L. Zhu,"5G-enabled Edge Intelligence for Autonomous Train Control: A Practical Perspective," in IEEE International Conference on Intelligent Transportation Systems- ITSC 2022, Oct 2022
  6. C. Chen, L. Zhu and X. Wang, "An Integrated Train Scheduling Optimization Approach for Virtual Coupling Trains," in IEEE International Conference on Intelligent Transportation Systems- ITSC 2022, Oct 2022
  7.  Li Z, Zhu L, Li Y, et al. A Deep Reinforcement Learning based Resource Allocation Method for Urban Rail Transit Cloud Systems,2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE, 2021: 3922-3926.
  8.  S. Wei, L. Zhu, H. Wang and Q. Lin, "An AdaBoost-based Intelligent Driving Algorithm for Heavy-haul Trains," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 3917-3921, doi: 10.1109/ITSC48978.2021.9564539.
  9. S. Wei, L. Zhu, Y. Li and H. Liang, "A Potential Game Based Offloading Scheme for Edge Computing-Enabled Automatic Train Operation Systems," 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), 2021, pp. 3629-3633,
  10. L. Zhu, F.R. Yu and B. Ning, Cross Layer Design for Video Transmissions in Metro Passenger Information Systems,to be presented at IEEE Globecom10, Miami, FL, USA, Dec. 2010. (EI, ISTP)
  11. L. Zhu, F.R. Yu and B. Ning, An Optimal Handoff Decision Algorithm for Communication-Based Train Control (CBTC) Systems, in Proc. IEEE VTC10F,Ottawa,ON,Canada, Sept. 2010. (EI, ISTP)
  12. L. Zhu, Yan Zhang, Bin Ning, Hailin Jiang, "Train-Ground Communication in CBTC Based on 802.11b: Design and Performance Research,” Communications and Mobile Computing, 2009. CMC '09. WRI International Conference on, vol.2, no., pp.368-372, 6-8 Jan. 2009. (EI, ISTP)
  13.  L. Zhu, Hongwei Wang, Bin Ning , "An experimental study of rectangular leaky waveguide in CBTC,  Intelligent Vehicles Symposium, 2009 IEEE , vol., no., pp.951-954, 3-5 June 2009. (EI, ISTP)
  14. L. Zhu, F.R. Yu and B. Ning, “Cross Layer design in MIMO-Enabled Communication-Based Train Control Systems,” in Proc.  IEEE Globcom’11, 2011. (EI, ISTP)
  15.  L. Zhu, F.R. Yu and B. Ning, “Stochastic Charging Management for Plug-in Electric Vehicles in Smart Microgrids Fueled by Renewable Energy Sources,” submitted to IEEE GreenCom'11. (EI, ISTP)
  16. L. Zhu, F.R. Yu and B. Ning, A Seamless Handoff Scheme for Train-Ground Communication Systems in CBTC, in Proc. IEEE VTC10F, Ottawa, ON, Canada, Sept. 2010. (EI, ISTP)
  17. L. Zhu, F.R. Yu and B. Ning, Availability Improvement for WLAN-based Train-Ground Communication Systems in Communication-based Train Control (CBTC), in Proc. IEEE VTC10F, Ottawa, ON, Canada, Sept. 2010. (EI, ISTP)
  18. L. Zhu, F.R. Yu, B. Ning and T. Tang, Optimal Charging Control for Electric Vehicles in Smart Microgrids with Renewable Energy Sources, in Proc. IEEE VTC12Spring, Yokohama, Oct. 2011. (EI, ISTP)
  19. L. Zhu, F.R. Yu, B. Ning and T. Tang, Service Availability Analysis in Communication-based Train Control (CBTC) Systems Using WLANs, in Proc. IEEE ICC11, Ottawa, ON, Canada, Oct. 2011. (EI, ISTP)
  20. L. Zhu, F.R. Yu, B. Ning and T. Tang, Cross-Layer Handoff Design in Communication-Based Train Control (CBTC) Systems Using WLANs, in Proc. IEEE VTC12 Fall, Quebec City, QC, Canada, Oct. 2012. (EI, ISTP)
  21.  L. Zhu, F.R. Yu, B. Ning and T. Tang, Joint Security and QoS Provisioning in Cooperative Vehicular Ad Hoc Networks, in Proc. IEEE ICC’ 13, Budapest, Hungary, Jun. 2013. (EI, ISTP)
  22. L. Zhu, F.R. Yu, B. Ning and T. Tang, A Novel Communication-Based Train Control (CBTC) System with Cooperative Wireless Relaying, in Proc. IEEE ICC’ 13, Budapest, Hungary, Jun. 2013. (EI, ISTP)
  23. L. Zhu, F.R. Yu, B. Ning and T. Tang, 'A Novel Communication-Based Train Control (CBTC) System with Coordinated Multi-Point Transmission and Reception” in Proc. IEEE Globecom’ 14, Austin, USA, Dec. 2014. (EI, ISTP)
  24. Yan Zhang, Li Zhu; Lijie Chen, Tao Tang; Sining Liu, ”A Method for Simulation and Analysis of Trackside Data Communication System CBTC,” Communications and Mobile Computing, 2009. CMC ’09. WRI International Conference on, vol.3, no., pp.529-533, 6-8 Jan. 2009. (EI, ISTP)
  25.  Hongwei Wang,  F.R. Yu, L. Zhu,  B. Ning and T. Tang, “Finite-State Markov Modeling of Tunnel Channels in Communication-based Train Control (CBTC) Systems,” in Proc. IEEE ICC’ 13, Budapest, Hungary, Jun. 2013. (EI, ISTP)
  26. Hongli Zhao; Li Zhu; Hailin Jiang; Tao Tang, "Design and performance tests in an integrated TD-LTE based train ground communication system," in Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on , vol., no., pp.747-750, 8-11 Oct. 2014
  27. Kaicheng Li, Li Zhu, F. R. Yu, Tao Tang and Bin Ning, "Cooperative and cognitive wireless networks for communication-based train control (CBTC) systems," Communications (ICC), 2015 IEEE International Conference on, London, 2015, pp. 3958-3962. (EI, ISTP)
  28. Li Zhu, F. R. Yu, Tao Tang and Bin Ning, " Handoff Performance Improvement in a Network Virtualization based Integrated Train Ground Communication System," Communications (ICC), 2016 IEEE International Conference on, Malaysia, 2016, pp.. (EI, ISTP)
  29. Fei Wang, Li Zhu and Hongli Zhao, "Virtual resource allocation in a network virtualization based integrated train ground communication system," 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), Rio de Janeiro, 2016, pp. 2012-2016
  30. Yige Wang, Li Zhu, Hongli Zhao, Handover Performance Test and Analysis in TD-LTE Based CBTC Train Ground Communication Systems, CAC 2017, Oct. 2017
  31. Dingyi Yao, Li Zhu, Hongli Zhao, Availability Analysis of Next Generation CBTC Data Communication Systems, CAC 2017, Oct. 2017
  32. Y. Wang, L. Zhu, Q. Lin and L. Zhang, "Leveraging Big Data Analytics for Train Schedule Optimization in Urban Rail Transit Systems," 2018 21st International Conference on Intelligent Transportation Systems (ITSC), Maui, HI, 2018, pp. 1928-1932.
  33. X. Wang, L. Liu, T. Tang, and L. Zhu, “Next Generation Train-Centric Communication-Based Train Control System with Train-to-Train (T2T) Communications”, Proc. IEEE ICIRT Singapore, Singapore, pp. 1-5, 2018.
  34. S. Wang, L. Zhu, K. Xu, L. Zhang, X. Wang, C. Liu“LTE based CBTC Train Ground Communication Systems: Performance Tests and Reliability Evaluation,”in 2019 IEEE Global Communications Conference, December 2019. 
  35. Y. Li, L. Zhu "A Bayesian game based  defense scheme for CBTC systems under Man-in-the-middle attacks," in IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE - ITSC 2019, October 2019.
  36. Ma, Zhaowei, Li Zhu, and Richard Yu. "A Novel Framework of Vehicle Ad-Hoc Networks based on Virtualization and Distributed Ledger Technology." Proceedings of the 9th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications. 2019.
  37. C. Shen, L. Zhu, G. Hua, L. Zhou, L. Zhang " A Deep Convolutional Neural Network Based Metro Passenger Flow Forecasting System Using a Fusion of Time and Space," in IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE - ITSC 2020, June 2020.
  38. C. Shen, L. Zhu, G. Hua, L. Zhou, L. Zhang " A Blockchain Based Federal Learning Method for Urban Rail Passenger Flow Prediction," in IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE - ITSC 2020, June 2020.
  39. L. Zhou, X. Wang, L. Zhu, C. Shen, G. Hua “Distributed optimal train adjustment and waiting passengers control for metro lines based on ADMM algorithm,” in IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE - ITSC 2020, June 2020.

专著/译著

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.


专利

  1. 朱力,李松,唐涛,王悉,王洪伟,文韬,基于云容错技术的云安全计算方法和装置、存储介质,ZL202210461393.0
  2. 朱力, 张梅欣, 唐涛, 王洪伟,文韬一种面向城市轨道交通的算力共享系统及方法,ZL 2022 1 1030355.6
  3. 朱力,梁豪,唐涛,王悉,王洪伟,文韬,一种面向智慧轨道交通的可信协同计算系统,ZL202210456734.5
  4. 朱力,熊寒,唐涛,赵红礼,一种应用于城市轨道交通的分布式密钥管理系统,ZL202010627300.8
  5. 朱力,张琳,赵红礼,唐涛,城市轨道交通的客流预测方法,ZL201910695350.7
  6. 朱力,熊寒,王洪伟,唐涛,一种应用于城市轨道交通的区块链系统,ZL202010991887.0
  7. 唐涛,宁鹏飞,朱力,王悉,王洪伟,一种基于云计算的安全计算机平台,ZL2021 10317860.8 
  8. 唐涛,朱力,李松,王悉,王洪伟,一种基于云计算的 3 取 2 安全计算机平台,ZL 202110355059.2
  9. 朱力,李阳,赵红礼,王洪伟,唐涛,基于 5G 和云计算技术的列车运行控制系统,专利类型:发明;专利授权号,ZL201910980114X
  10. 朱力,沈纯子,王洪伟,赵红礼,唐涛,数据通信系统中轨旁传输媒介的故障检测方法及装置,专利类型:发明;专利授权号,ZL201910769489.1
  11. 朱力,赵红礼,蒋海林,唐涛,应用于城市轨道交通综合通信系统的频谱分配方法,专利类型:发明;专利授权号,ZL201710023512.3
  12. 朱力,赵红礼,蒋海林,唐涛,应用于轨道交通的综合业务车地通信系统,专利类型:发明;专利授权号,ZL2015 1 0415210.1
  13. 朱力,赵红礼,蒋海林,唐涛,轨道交通系统中车地通信传输延迟的测量方法,专利类型:发明;专利授权号,ZL2015 1 0405476.8
  14. 朱力,赵红礼,蒋海林,唐涛,基于车地无线通信系统的接入密钥修改方法,专利类型:发明;专利授权号,ZL2015 1 0181452.9
  15. 朱力,步兵,王洪伟,一种检测城市轨道交通列车控制系统中中间人攻击的方法,专利类型:发明;专利授权号,ZL2018104410291
  16. 赵红礼,蒋海林,唐涛,朱力,城市轨道交通系统车地无线通信认证密钥配置系统及方法,专利类型:发明;专利授权号,ZL201510445995.7
  17. 宁滨,朱力,唐涛,步兵,一种测量切换时间的方法和设备,专利类型:发明;专利授权号,ZL200710119596.7



软件著作权

获奖与荣誉

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

社会兼职


  1. Lead Guest Editor, IET Communications, Special Issue on Advanced Computing in Wireless Communication-based Artificial Intelligence of Things
  2. Lead Guest Editor, Neural Computing and Applications, Special Issue on Artificial Intelligence of Things for Future Networks and Service Management
  3. Lead Guest Editor,   Wireless Communications and Mobile Computing , Special Issue on Communications and Networking for Connected Vehicles 
  4. Lead Guest Editor, The Journal of Supercomputing, Special Issue on Control Communication and Emerging Technologies in Smart Rail Systems.
  5. TPC Co-Chair, IEEE ITSC’15 - Wireless Vehicular Communications, Qingdao, Oct. 2015. 
  6. TPC Co-Chair, IEEE ITSC’16 - Wireless Vehicular Communications, Rio de Janeiro, Nov. 2016. 
  7. TPC Co-Chair, IEEE ITSC’19 - Control, Communication and Emerging Technologies in Smart Rail Systems, Auckland, Nov. 2019. 
  8. TPC Co-Chair, IEEE ITSC’20 - Control, Communication and Emerging Technologies in Smart Rail Systems, Greece, Sep. 2020. 
  9. TPC Co-Chair, IEEE ITSC’20 - Control, Communication and Emerging Technologies in Smart Rail Systems, Edmonton, Sep. 2024.
  10. TPC member for IEEE ICC, IEEE Globecom
  11. 都市快轨交通,青年编委
  12. 城市轨道交通,青年编委