Fei Miao
Associate Professor/Computing
p^2Charging: Proactive Partial Charging for Electric Taxi Systems
Jiming Chen, Tian He, Desheng Zhang, Fei Miao, Shan Lin, Yukun Yuan
Research Type: Conference Proceedings

eRoute: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems under Disruptive Events
2021
Fei Miao, Yukun Yuan, Desheng Zhang
Research Type: Journal Article

Uncertainty Quantification of Collaborative Detection for Self-Driving
2024
Sanbao Su, Fei Miao
Research Type: Conference Proceedings

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing
Jiangwei Wang, Fei Miao
Research Type: Journal Article

Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
2023
Lynn Pepin, Fei Miao, Caiwen Ding, Deniz Gurevin, Mikhail A Bragin, Shanglin Zhou
Research Type: Journal Article

Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles
Fei Miao, Songyang Han
Research Type: Conference Proceedings

Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios
2024
Fei Miao, Zhili Zhang
Research Type: Conference Proceedings

Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles
Caiwen Ding, Lynn Pepin, Songyang Han, Shanglin Zhou, Fei Miao, Jiangwei Wang
Research Type: Conference Proceedings

Securing power distribution grid against power botnet attacks
Fei Miao, Peng Zhang, Lizhi Wang, Lynn Pepin, Amir Herzberg
Research Type: Conference Proceedings

Securing Power Distribution Grid Against Power Botnet Attacks
2019
Lizhi Wang, Amir Herzberg, Peng Zhang, Fei Miao, Lynn Pepin, Yan Li
Research Type: Poster/Presentation

Safe And Efficient Behavior Planning For Connected Autonomous Vehicles: A Feedback Deep Reinforcement Learning Approach
2024
Songyang Han, Fei Miao
Research Type: Journal Article

Robust Multi-Agent Reinforcement Learning with State Uncertainties
2023
Research Type: Journal Article

Robust Multi-Agent Reinforcement Learning with Adversarial State Uncertainties
Research Type: Conference Proceedings

Robust Multi-Agent Reinforcement Learning under State Perturbations
Research Type: Journal Article

Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach
Sihong He, Fei Miao
Research Type: Conference Proceedings

Robust Constrained Reinforcement Learning
Fei Miao, Sihong He, Shaofeng Zou
Research Type: Conference Proceedings

Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
Jiangwei Wang, Fei Miao
Research Type: Conference Proceedings

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
Fei Miao, Zhili Zhang, Sihong He
Research Type: Conference Proceedings

Learning for Robust Control and Optimization: Efficiency and Safety of Autonomous Transportation Systems
2019
Research Type: Poster/Presentation

Learning and Control for Safety, Efficiency, and Resiliency of Cyber-Physical Systems
2023
Research Type: Poster/Presentation