Fei Miao

Orcid: 0000-0003-0066-4379

According to our database1, Fei Miao authored at least 66 papers between 2012 and 2024.

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Bibliography

2024
Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense With High Penetration of DERs.
IEEE Trans. Smart Grid, July, 2024

FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles.
IEEE Trans. Mob. Comput., June, 2024

A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., May, 2024

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing.
ACM Trans. Cyber Phys. Syst., April, 2024

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
Trans. Mach. Learn. Res., 2024

Collaborative Multi-Object Tracking With Conformal Uncertainty Propagation.
IEEE Robotics Autom. Lett., 2024

YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning.
CoRR, 2024

Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift.
CoRR, 2024

ɑ-SSC: Uncertainty-Aware Camera-based 3D Semantic Scene Completion.
CoRR, 2024

An Intestinal Tumors Detection Model Based on Feature Distillation With Self-Correction Mechanism and PathGAN.
IEEE Access, 2024

Constrained Reinforcement Learning Under Model Mismatch.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning.
ACM Trans. Design Autom. Electr. Syst., November, 2023

Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties.
IEEE Trans. Intell. Transp. Syst., May, 2023

Robust Multi-Agent Reinforcement Learning with State Uncertainty.
Trans. Mach. Learn. Res., 2023

: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events.
IEEE Trans. Mob. Comput., 2023

Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations.
CoRR, 2023

Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications.
CoRR, 2023

Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles.
CoRR, 2023

Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles.
IROS, 2023

Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach.
IROS, 2023

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems.
IROS, 2023

Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Uncertainty Quantification of Collaborative Detection for Self-Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
DeResolver: A Decentralized Conflict Resolution Framework with Autonomous Negotiation for Smart City Services.
ACM Trans. Cyber Phys. Syst., 2022

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?
CoRR, 2022

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems.
CoRR, 2022

Robust Constrained Reinforcement Learning.
CoRR, 2022

Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid.
CoRR, 2022

Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems.
ACM Trans. Cyber Phys. Syst., 2021

Image Mosaic Algorithm-Based Analysis of Effects of Low-Dose X-Rays on Blood Immune Cells.
Sci. Program., 2021

An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021

Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DeResolver: a decentralized negotiation and conflict resolution framework for smart city services.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

A Secure and Efficient Federated Learning Framework for NLP.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
A game-theoretic security framework for quantum cryptography: Performance analysis and application.
Quantum Inf. Process., 2020

A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks.
CoRR, 2020

Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning.
CoRR, 2020

Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Data-Driven Robust Taxi Dispatch Under Demand Uncertainties.
IEEE Trans. Control. Syst. Technol., 2019

p^2Charging: Proactive Partial Charging for Electric Taxi Systems.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Exploiting Beneficial Information Sharing Among Autonomous Vehicles.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
A hybrid stochastic game for secure control of cyber-physical systems.
Autom., 2018

Dynamic integration of heterogeneous transportation modes under disruptive events.
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

Game Theoretic Security Framework for Quantum Key Distribution.
Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018

2017
Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks.
IEEE Trans. Control. Netw. Syst., 2017

A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems.
CoRR, 2017

Artificial invariant subspace with potential functions for humanoid robot balancing.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Data-driven distributionally robust vehicle balancing using dynamic region partitions.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

Hierarchical data-driven vehicle dispatch and ride-sharing.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2016

Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach.
IEEE Trans Autom. Sci. Eng., 2016

Data-Driven Robust Taxi Dispatch Approaches.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

2015
Taxi dispatch with real-time sensing data in metropolitan areas: a receding horizon control approach.
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015

Robust taxi dispatch under model uncertainties.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Coding sensor outputs for injection attacks detection.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

A moving-horizon hybrid stochastic game for secure control of cyber-physical systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Stochastic game approach for replay attack detection.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Networked realization of discrete-time controllers.
Proceedings of the American Control Conference, 2013

2012
Reorganization of functional brain networks during the recovery of stroke: A functional MRI study.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012


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