| ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks S Lin, F Miao, J Zhang, G Zhou, L Gu, JA Stankovic, T He, S Son, ... ACM Transactions on Sensor Networks (TOSN) 12 (1), 6:1-6:31, 2016 | 943 | 2016 |
| Taxi dispatch with real-time sensing data in metropolitan areas: A receding horizon control approach F Miao, S Han, S Lin, JA Stankovic, D Zhang, S Munir, H Huang, T He, ... Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical …, 2015 | 261 | 2015 |
| Coding schemes for securing cyber-physical systems against stealthy data injection attacks F Miao, Q Zhu, M Pajic, GJ Pappas IEEE Transactions on Control of Network Systems 4 (1), 106-117, 2017 | 248 | 2017 |
| Stochastic game approach for replay attack detection F Miao, M Pajic, GJ Pappas 52nd IEEE conference on decision and control, 1854-1859, 2013 | 203 | 2013 |
| A Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems F Miao, Q Zhu, M Pajic, GJ Pappas Automatica 93, 55-63, 2018 | 87 | 2018 |
| Data-Driven Robust Taxi Dispatch Under Demand Uncertainties F Miao, S Han, S Lin, Q Wang, JA Stankovic, A Hendawi, D Zhang, T He, ... IEEE Transactions on Control Systems Technology 27 (1), 175-191, 2019 | 86 | 2019 |
| Coding sensor outputs for injection attacks detection F Miao, Q Zhu, M Pajic, GJ Pappas 53rd IEEE Conference on Decision and Control, 5776-5781, 2014 | 86 | 2014 |
| p^2 Charging: Proactive Partial Charging for Electric Taxi Systems Y Yuan, D Zhang, F Miao, J Chen, T He, S Lin in the 39th IEEE International Conference on Distributed Computing Systems …, 2019 | 58 | 2019 |
| Uncertainty Quantification of Collaborative Detection for Self-Driving S Su, Y Li, S He, S Han, C Feng, C Ding, F Miao ICRA'23, 2023 IEEE International Conference on Robotics and Automation (ICRA …, 2023 | 57 | 2023 |
| Data-driven distributionally robust vehicle balancing using dynamic region partitions F Miao, S Han, AM Hendawi, ME Khalefa, JA Stankovic, GJ Pappas Proceedings of the 8th International Conference on Cyber-Physical Systems …, 2017 | 53 | 2017 |
| Robust Multi-Agent Reinforcement Learning Considering State Uncertainty S He, S Han, S Su, S Han, S Zou, F Miao Transactions on Machine Learning Research, https://openreview.net/pdf?id …, 2023 | 44* | 2023 |
| A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems S He, Y Wang, S Han, S Zou, F Miao IROS'23, 2023 IEEE/RSJ International Conference on Intelligent Robots and …, 2023 | 41* | 2023 |
| 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, J Fu, F Miao IEEE Transactions on Intelligent Transportation Systems, 2023. preprint …, 2023 | 38* | 2023 |
| Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets G Wang, S Zhong, S Wang, F Miao, Z Dong, D Zhang 37th IEEE International Conference on Data Engineering (ICDE), 2021 | 38 | 2021 |
| Hierarchical Data-Driven Vehicle Dispatch and Ride-sharing X Chen, F Miao, GJ Pappas, V Preciado 56th IEEE Conference on Decision and Control (CDC), 2017 | 35 | 2017 |
| What is the solution for state adversarial multi-agent reinforcement learning? S Han, S Su, S He, S Han, H Yang, F Miao Transactions on Machine Learning Research, 2024 | 32 | 2024 |
| Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles S Han, H Wang, S Su, Y Shi, F Miao ICRA'22, Proceedings of the IEEE International Conference on Robotics and …, 2022 | 32 | 2022 |
| An end-to-end multi-task object detection using embedded gpu in autonomous driving S Zhou, M Xie, Y Jin, F Miao, C Ding 2021 22nd International Symposium on Quality Electronic Design (ISQED), 122-128, 2021 | 31 | 2021 |
| Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties S He, Z Zhang, S Han, L Pepin, G Wang, D Zhang, J Stankovic, F Miao IEEE Transactions on Intelligent Transportation Systems 24 (5), 5199-5215, 2023 | 30 | 2023 |
| Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation D Gurevin, M Bragin, C Ding, S Zhou, L Pepin, B Li, F Miao IJCAI-21, Proceedings of the Thirtieth International Joint Conference on …, 2021 | 25* | 2021 |
George PappasUPS Foundation Professor, Electrical and Systems Engineering, University of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
