Reorganization of functional brain networks during the recovery of stroke: A functional MRI study. - Lin Cheng; Zhiyuan Wu; Yi Fu; Fei Miao; Junfeng Sun; Shanbao Tong (EMBC, 2012)

Networked realization of discrete-time controllers. - Fei Miao; Miroslav Pajic; Rahul Mangharam; George J. Pappas (ACC, 2013)

Stochastic game approach for replay attack detection. - Fei Miao; Miroslav Pajic; George J. Pappas (CDC, 2013)

A moving-horizon hybrid stochastic game for secure control of cyber-physical systems. - Fei Miao; Quanyan Zhu (CDC, 2014)

Coding sensor outputs for injection attacks detection. - Fei Miao; Quanyan Zhu; Miroslav Pajic; George J. Pappas (CDC, 2014)

Robust taxi dispatch under model uncertainties. - Fei Miao; Shuo Han 002; Shan Lin 001; George J. Pappas (CDC, 2015)

Taxi dispatch with real-time sensing data in metropolitan areas: a receding horizon control approach. - Fei Miao; Shan Lin 001; Sirajum Munir; John A. Stankovic; Hua Huang 003; Desheng Zhang; Tian He 001; George J. Pappas (ICCPS, 2015)

Data-Driven Robust Taxi Dispatch Approaches. - Fei Miao; Shuo Han 002; Shan Lin 001; John A. Stankovic; Qian Wang; Desheng Zhang; Tian He 001; George J. Pappas (ICCPS, 2016)

Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach. - Fei Miao; Shuo Han 002; Shan Lin 001; John A. Stankovic; Desheng Zhang; Sirajum Munir; Hua Huang 003; Tian He 001; George J. Pappas (IEEE Trans Autom. Sci. Eng., 2016)

ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks. - Shan Lin 001; Fei Miao; Jingbin Zhang; Gang Zhou; Lin Gu 001; Tian He 001; John A. Stankovic; Sang Hyuk Son; George J. Pappas (ACM Trans. Sens. Networks, 2016)

Hierarchical data-driven vehicle dispatch and ride-sharing. - Ximing Chen 001; Fei Miao; George J. Pappas; Victor M. Preciado (CDC, 2017)

Data-driven distributionally robust vehicle balancing using dynamic region partitions. - Fei Miao; Shuo Han 002; Abdeltawab M. Hendawi; Mohamed E. Khalefa; John A. Stankovic; George J. Pappas (ICCPS, 2017)

Artificial invariant subspace with potential functions for humanoid robot balancing. - Xiang Deng; Fei Miao; Daniel D. Lee (IROS, 2017)

A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems. - Fei Miao; Quanyan Zhu; Miroslav Pajic; George J. Pappas (CoRR, 2017)

Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks. - Fei Miao; Quanyan Zhu; Miroslav Pajic; George J. Pappas (IEEE Trans. Control. Netw. Syst., 2017)

Game Theoretic Security Framework for Quantum Key Distribution. - Walter O. Krawec; Fei Miao (GameSec, 2018)

Dynamic integration of heterogeneous transportation modes under disruptive events. - Yukun Yuan 001; Desheng Zhang; Fei Miao; John A. Stankovic; Tian He 001; George J. Pappas; Shan Lin 001 (ICCPS, 2018)

A hybrid stochastic game for secure control of cyber-physical systems. - Fei Miao; Quanyan Zhu; Miroslav Pajic; George J. Pappas (Autom., 2018)

Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement. - Qixing Wang; Fei Miao; Jie Wu; Yuan Niu; Chengliang Wang; Nicholas E. Lownes (CASE, 2019)

Exploiting Beneficial Information Sharing Among Autonomous Vehicles. - Songyang Han; Jie Fu 002; Fei Miao (CDC, 2019)

p^2Charging: Proactive Partial Charging for Electric Taxi Systems. - Yukun Yuan 001; Desheng Zhang; Fei Miao; Jimin Chen; Tian He 001; Shan Lin 001 (ICDCS, 2019)

Data-Driven Robust Taxi Dispatch Under Demand Uncertainties. - Fei Miao; Shuo Han 002; Shan Lin 001; Qian Wang; John A. Stankovic; Abdeltawab M. Hendawi; Desheng Zhang; Tian He 001; George J. Pappas (IEEE Trans. Control. Syst. Technol., 2019)

Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. - Sihong He; Lynn Pepin; Guang Wang 001; Desheng Zhang; Fei Miao (IROS, 2020)

Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning. - Songyang Han; Fei Miao (CoRR, 2020)

A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. - Deniz Gurevin; Shanglin Zhou; Lynn Pepin; Bingbing Li; Mikhail A. Bragin; Caiwen Ding; Fei Miao (CoRR, 2020)

A game-theoretic security framework for quantum cryptography: Performance analysis and application. - Songyang Han; Walter O. Krawec; Fei Miao (Quantum Inf. Process., 2020)

A Secure and Efficient Federated Learning Framework for NLP. - Chenghong Wang; Jieren Deng; Xianrui Meng; Yijue Wang; Ji Li 006; Sheng Lin 001; Shuo Han 002; Fei Miao; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (1), 2021)

DeResolver: a decentralized negotiation and conflict resolution framework for smart city services. - Yukun Yuan 001; Meiyi Ma; Songyang Han; Desheng Zhang; Fei Miao; John A. Stankovic; Shan Lin 001 (ICCPS, 2021)

Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets. - Guang Wang 001; Shuxin Zhong; Shuai Wang 008; Fei Miao; Zheng Dong 002; Desheng Zhang (ICDE, 2021)

Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. - Deniz Gurevin; Mikhail A. Bragin; Caiwen Ding; Shanglin Zhou; Lynn Pepin; Bingbing Li; Fei Miao (IJCAI, 2021)

Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System. - Xiaoyang Xie; Kangjia Shao; Yang Wang 015; Fei Miao; Desheng Zhang (IROS, 2021)

An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving. - Shanglin Zhou; Mimi Xie; Yufang Jin; Fei Miao; Caiwen Ding (ISQED, 2021)

Image Mosaic Algorithm-Based Analysis of Effects of Low-Dose X-Rays on Blood Immune Cells. - Xiaohua Fu; Fei Miao; Jianbin Guo; Weijuan He; Yuying Deng; Yushan Wang; Xiaxiang Zeng; Wenbing Wang; Yunfeng Liu (Sci. Program., 2021)

Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. - Fei Miao; Sihong He; Lynn Pepin; Shuo Han 002; Abdeltawab M. Hendawi; Mohamed E. Khalefa; John A. Stankovic; George J. Pappas (ACM Trans. Cyber Phys. Syst., 2021)

Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. - Songyang Han; He Wang; Sanbao Su; Yuanyuan Shi; Fei Miao (ICRA, 2022)

Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid. - Lynn Pepin; Lizhi Wang 005; Jiangwei Wang; Songyang Han; Pranav Pishawikar; Amir Herzberg; Peng Zhang 015; Fei Miao (CoRR, 2022)

Robust Constrained Reinforcement Learning. - Yue Wang 068; Fei Miao; Shaofeng Zou (CoRR, 2022)

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (CoRR, 2022)

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? - Songyang Han; Sanbao Su; Sihong He; Shuo Han 002; Haizhao Yang; Fei Miao (CoRR, 2022)

DeResolver: A Decentralized Conflict Resolution Framework with Autonomous Negotiation for Smart City Services. - Yukun Yuan 001; Meiyi Ma; Songyang Han; Desheng Zhang; Fei Miao; John A. Stankovic; Shan Lin 001 (ACM Trans. Cyber Phys. Syst., 2022)

Uncertainty Quantification of Collaborative Detection for Self-Driving. - Sanbao Su; Yiming Li 003; Sihong He; Songyang Han; Chen Feng 002; Caiwen Ding; Fei Miao (ICRA, 2023)

Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios. - Zhili Zhang; Songyang Han; Jiangwei Wang; Fei Miao (ICRA, 2023)

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. - Sihong He; Yue Wang 068; Shuo Han 002; Shaofeng Zou; Fei Miao (IROS, 2023)

Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. - Sihong He; Shuo Han 002; Fei Miao (IROS, 2023)

Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. - Muzi Peng; Jiangwei Wang; Dongjin Song; Fei Miao; Lili Su (IROS, 2023)

Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs. - Alaa Selim; Junbo Zhao 001; Fei Ding 001; Fei Miao; Sung-Yeul Park (ISGT, 2023)

Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles. - Songyang Han; Shanglin Zhou; Lynn Pepin; Jiangwei Wang; Caiwen Ding; Fei Miao (CoRR, 2023)

Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications. - Jiangwei Wang; Shuo Yang 007; Ziyan An; Songyang Han; Zhili Zhang; Rahul Mangharam; Meiyi Ma; Fei Miao (CoRR, 2023)

Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. - Zhili Zhang; Yanchao Sun; Furong Huang; Fei Miao (CoRR, 2023)

: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events. - Yukun Yuan 001; Desheng Zhang; Fei Miao; John A. Stankovic; Tian He 001; George J. Pappas; Shan Lin 001 (IEEE Trans. Mob. Comput., 2023)

Robust Multi-Agent Reinforcement Learning with State Uncertainty. - Sihong He; Songyang Han; Sanbao Su; Shuo Han 002; Shaofeng Zou; Fei Miao (Trans. Mach. Learn. Res., 2023)

Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties. - Sihong He; Zhili Zhang; Shuo Han 002; Lynn Pepin; Guang Wang 001; Desheng Zhang; John A. Stankovic; Fei Miao (IEEE Trans. Intell. Transp. Syst., 2023)

Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. - Shanglin Zhou; Mikhail A. Bragin; Deniz Gurevin; Lynn Pepin; Fei Miao; Caiwen Ding (ACM Trans. Design Autom. Electr. Syst., 2023)

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. - Sanbao Su; Xin Li; Thang Long Doan; Sima Behpour; Wenbin He; Liang Gou; Fei Miao; Liu Ren (ECCV (78), 2024)

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. - Han Wang 016; Sihong He; Zhili Zhang; Fei Miao; James Anderson 001 (ICML, 2024)

Constrained Reinforcement Learning Under Model Mismatch. - Zhongchang Sun; Sihong He; Fei Miao; Shaofeng Zou (ICML, 2024)

Policy Optimization for Robust Average Reward MDPs. - Zhongchang Sun; Sihong He; Fei Miao; Shaofeng Zou (NeurIPS, 2024)

An Intestinal Tumors Detection Model Based on Feature Distillation With Self-Correction Mechanism and PathGAN. - Lingfeng Zhu; Jindong Liu; Dongmei Zheng; Ziran Cao; Fei Miao; Cheng Li; Jian He; Jing Guo (IEEE Access, 2024)

ɑ-SSC: Uncertainty-Aware Camera-based 3D Semantic Scene Completion. - Sanbao Su; Nuo Chen 003; Felix Juefei-Xu; Chen Feng 002; Fei Miao (CoRR, 2024)

Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. - Huiqun Huang; Sihong He; Fei Miao (CoRR, 2024)

YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning. - Yuan Zhuang; Yi Shen; Zhili Zhang; Yuxiao Chen 008; Fei Miao (CoRR, 2024)

Collaborative Multi-Object Tracking With Conformal Uncertainty Propagation. - Sanbao Su; Songyang Han; Yiming Li 003; Zhili Zhang; Chen Feng 002; Caiwen Ding; Fei Miao (IEEE Robotics Autom. Lett., 2024)

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? - Songyang Han; Sanbao Su; Sihong He; Shuo Han 002; Haizhao Yang; Shaofeng Zou; Fei Miao (Trans. Mach. Learn. Res., 2024)

Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. - Jiangwei Wang; Lili Su; Songyang Han; Dongjin Song; Fei Miao (ACM Trans. Cyber Phys. Syst., 2024)

A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. - Songyang Han; Shanglin Zhou; Jiangwei Wang; Lynn Pepin; Caiwen Ding; Jie Fu 002; Fei Miao (IEEE Trans. Intell. Transp. Syst., 2024)

FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles. - Guang Wang 001; Sihong He; Lin Jiang 007; Shuai Wang 008; Fei Miao; Fan Zhang 019; Zheng Dong 002; Desheng Zhang (IEEE Trans. Mob. Comput., 2024)

Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense With High Penetration of DERs. - Alaa Selim; Junbo Zhao 001; Fei Ding 001; Fei Miao; Sung-Yeul Park (IEEE Trans. Smart Grid, 2024)

CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction. - Huiqun Huang; Sihong He; Fei Miao (AAAI, 2025)

Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks. - Huiqun Huang; Cong Chen; Jean-Philippe Monteuuis; Jonathan Petit; Fei Miao (CoRR, 2025)

Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles. - Keshawn Smith; Zhili Zhang; H. M. Sabbir Ahmad; Ehsan Sabouni; Maniak Mondal; Song Han; Wenchao Li 001; Fei Miao (CoRR, 2025)

UCS-YOLO: a novel approach for multi-scale small target detection in UAVs. - Guang-Ling Sun; Fen-Qi Zhang; Yu-Min Zhu; Fei Miao (J. Supercomput., 2025)