Fei Miao
Associate Professor/Computing
Dynamic Integration of Heterogeneous Transportation Modes under Disruptive Events
Desheng Zhang, Tian He, Fei Miao, John Stankovic, Shan Lin, Yukun Yuan, George Pappas
Research Type: Conference Proceedings

Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement
2024
Nicholas Lownes, Qixing Wang, Chengliang Wang, Joe Wu, Fei Miao
Research Type: Conference Proceedings

Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
2024
Shanglin Zhou, Fei Miao, Caiwen Ding, Bingbing Li, Deniz Gurevin, Lynn Pepin, Mikhail A Bragin
Research Type: Conference Proceedings

FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles
2023
Guang Wang, Fei Miao, Sihong He
Research Type: Journal Article

Game Theoretic Security Framework for Quantum Key Distribution
2024
Walter O Krawec
Research Type: Conference Proceedings

Hierarchical data-driven vehicle dispatch and ride-sharing
George Pappas, Victor Preciado, Ximing Chen, Fei Miao
Research Type: Conference Proceedings

Improving the Efficiency of Electric Vehicle Fleets: A Data-Driven Control Framework for Heterogeneous Mobile CPS
2019
Research Type: Poster/Presentation

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

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

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

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

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

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

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

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

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

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

Securing power distribution grid against power botnet attacks
Fei Miao, Peng Zhang, Lizhi Wang, Lynn Pepin, Amir Herzberg
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