| A cross-layer defense scheme for edge intelligence-enabled CBTC systems against MitM attacks Y Li, L Zhu, H Wang, FR Yu, S Liu IEEE Transactions on Intelligent Transportation Systems 22 (4), 2286-2298, 2020 | 67 | 2020 |
| Cross-layer defense methods for jamming-resistant CBTC systems L Zhu, Y Li, FR Yu, B Ning, T Tang, X Wang IEEE Transactions on Intelligent Transportation Systems 22 (11), 7266-7278, 2020 | 66 | 2020 |
| Markov game for securing wide-area damping control against false data injection attacks S Liu, I Zenelis, Y Li, X Wang, Q Li, L Zhu IEEE Systems Journal 15 (1), 1356-1365, 2020 | 21 | 2020 |
| Joint security and resources allocation scheme design in edge intelligence enabled CBTCs: a two-level game theoretic approach Y Li, L Zhu, H Wang, FR Yu, T Tang, D Zhang IEEE Transactions on Intelligent Transportation Systems, 2023 | 12 | 2023 |
| A Bayesian game based defense scheme for CBTC systems under Man-in-the-middle attacks Y Li, L Zhu 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2172-2176, 2019 | 7 | 2019 |
| A potential game based offloading scheme for edge computing-enabled automatic train operation systems S Wei, L Zhu, Y Li, H Liang 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 5 | 2021 |
| Collaborative Cloud and Edge Computing in 5G based Train Control Systems Y Li, L Zhu GLOBECOM 2022-2022 IEEE Global Communications Conference, 2542-2547, 2022 | 4 | 2022 |
| Incomplete information stochastic game theoretic vulnerability management for wide-area damping control against cyber attacks Q Li, Y Li, S Liu, X Wang, H Chaoui IEEE Journal on Emerging and Selected Topics in Circuits and Systems 12 (1 …, 2022 | 4 | 2022 |
| Enhancing dependability analysis provisioning in CBTC wireless communication system with age of information X Wang, Y Li, T Jing, Y Huo, T Tang IEEE Transactions on Vehicular Technology 71 (2), 1617-1630, 2021 | 3 | 2021 |
| Computation resource optimization for large-scale intelligent urban rail transit: A mean-field game approach Y Li, L Zhu, J Wu, H Wang, FR Yu IEEE Transactions on Vehicular Technology, 2023 | 2 | 2023 |
| A deep reinforcement learning based resource allocation method for urban rail transit cloud systems Z Li, L Zhu, Y Li, H Liang, H Wang 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 1 | 2021 |
| A neural fictitious self‐play anti‐jamming strategy for secondary frequency control in microgrids with imperfect observations Y Li, S Liu, L Zhu, B Chen International Journal of Robust and Nonlinear Control, 0 | | |
F. Richard YuCarleton University, Ottawa, ON, Canada在 carleton.ca 的电子邮件经过验证
