| A Multi-Agent Reinforcement Learning Approach For Safe and Efficient Behavior Planning Of Connected Autonomous Vehicles S Han, S Zhou, J Wang, L Pepin, C Ding, F Miao IEEE Transactions on Intelligent Transportation Systems, 2024 | 18* | 2024 |
| Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Z Zhang, S Han, J Wang, F Miao ICRA 2023, 2022 | 10 | 2022 |
| Software-defined cyber–energy secure underwater wireless power transfer J Wang, Y Qin, Z Tang, P Zhang IEEE Journal of Emerging and Selected Topics in Industrial Electronics 2 (1 …, 2020 | 6 | 2020 |
| Multi-agent reinforcement learning guided by signal temporal logic specifications J Wang, S Yang, Z An, S Han, Z Zhang, R Mangharam, M Ma, F Miao arXiv preprint arXiv:2306.06808, 2023 | 4 | 2023 |
| Botnets breaking transformers: Localization of power botnet attacks against the distribution grid L Pepin, L Wang, J Wang, S Han, P Pishawikar, A Herzberg, P Zhang, ... arXiv preprint arXiv:2203.10158, 2022 | 4 | 2022 |
| Towards safe autonomy in hybrid traffic: Detecting unpredictable abnormal behaviors of human drivers via information sharing J Wang, L Su, S Han, D Song, F Miao ACM Transactions on Cyber-Physical Systems 8 (2), 1-25, 2024 | 1 | 2024 |
| Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles M Peng, J Wang, D Song, F Miao, L Su IROS 2023, 2023 | | 2023 |
| Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles S Han, S Zhou, L Pepin, J Wang, C Ding, F Miao [Best Paper Award] The DCAA workshop of AAAI 2023, 2023 | | 2023 |
| Towards Safe Autonomy in Hybrid Traffic: The Power of Information Sharing in Detecting Abnormal Human Drivers Behaviors J Wang, L Su, S Han, D Song, F Miao IJCAI Workshop 2022, 2022 | | 2022 |
