Fei Miao

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 72

Top Topics

Autonomous Vehicles

Robust Optimization

Reinforcement Learning

Receding Horizon

Top Venues

Publications

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. 2024 (2024)
Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. ACM Trans. Cyber Phys. Syst. 8 (2) (2024)
Guang Wang, Sihong He, Lin Jiang, Shuai Wang, Fei Miao, Fan Zhang, Zheng Dong, Desheng Zhang
FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles. IEEE Trans. Mob. Comput. 23 (6) (2024)
Sanbao Su, Nuo Chen, Felix Juefei-Xu, Chen Feng, Fei Miao
ɑ-SSC: Uncertainty-Aware Camera-based 3D Semantic Scene Completion. CoRR (2024)
Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao
Collaborative Multi-Object Tracking With Conformal Uncertainty Propagation. IEEE Robotics Autom. Lett. 9 (4) (2024)
Alaa Selim, Junbo Zhao, Fei Ding, Fei Miao, Sung-Yeul Park
Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense With High Penetration of DERs. IEEE Trans. Smart Grid 15 (4) (2024)
Songyang Han, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Caiwen Ding, Jie Fu, Fei Miao
A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Lingfeng Zhu, Jindong Liu, Dongmei Zheng, Ziran Cao, Fei Miao, Cheng Li, Jian He, Jing Guo
An Intestinal Tumors Detection Model Based on Feature Distillation With Self-Correction Mechanism and PathGAN. IEEE Access 12 (2024)
Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR (2024)
Huiqun Huang, Sihong He, Fei Miao
Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. CoRR (2024)
Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
Constrained Reinforcement Learning Under Model Mismatch. CoRR (2024)
Alaa Selim, Junbo Zhao, Fei Ding, Fei Miao, Sung-Yeul Park
Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs. ISGT (2023)
Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning. CoRR (2023)
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS (2023)
Sihong He, Shuo Han, Fei Miao
Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. 2023 (2023)
Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles. CoRR (2023)
Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS (2023)
Sihong He, Shuo Han, Fei Miao
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR (2023)
Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
Uncertainty Quantification of Collaborative Detection for Self-Driving. ICRA (2023)
Jiangwei Wang, Shuo Yang, Ziyan An, Songyang Han, Zhili Zhang, Rahul Mangharam, Meiyi Ma, Fei Miao
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications. CoRR (2023)
Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation. CoRR (2023)
Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR (2023)
Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios. ICRA (2023)
Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. CoRR (2023)
Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR (2023)
Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George J. Pappas, Shan Lin
: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events. IEEE Trans. Mob. Comput. 22 (2) (2023)
Zhili Zhang, Yanchao Sun, Furong Huang, Fei Miao
Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. CoRR (2023)
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios. CoRR (2022)
Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
Uncertainty Quantification of Collaborative Detection for Self-Driving. CoRR (2022)
Yue Wang, Fei Miao, Shaofeng Zou
Robust Constrained Reinforcement Learning. CoRR (2022)
Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR (2022)
Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR (2022)
Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR (2022)
Lynn Pepin, Lizhi Wang, Jiangwei Wang, Songyang Han, Pranav Pishawikar, Amir Herzberg, Peng Zhang, Fei Miao
Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid. CoRR (2022)
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR (2022)
Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, Fei Miao
Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. ICRA (2022)
Yukun Yuan, Meiyi Ma, Songyang Han, Desheng Zhang, Fei Miao, John A. Stankovic, Shan Lin
DeResolver: A Decentralized Conflict Resolution Framework with Autonomous Negotiation for Smart City Services. ACM Trans. Cyber Phys. Syst. 6 (4) (2022)
Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, Fei Miao
Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. CoRR (2022)
Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. CoRR (2022)
Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, Caiwen Ding
An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving. ISQED (2021)
Guang Wang, Shuxin Zhong, Shuai Wang, Fei Miao, Zheng Dong, Desheng Zhang
Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets. ICDE (2021)
Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) (2021)
Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. IJCAI (2021)
Yukun Yuan, Meiyi Ma, Songyang Han, Desheng Zhang, Fei Miao, John A. Stankovic, Shan Lin
DeResolver: a decentralized negotiation and conflict resolution framework for smart city services. ICCPS (2021)
Xiaoyang Xie, Kangjia Shao, Yang Wang, Fei Miao, Desheng Zhang
Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System. IROS (2021)
Xiaohua Fu, Fei Miao, Jianbin Guo, Weijuan He, Yuying Deng, Yushan Wang, Xiaxiang Zeng, Wenbing Wang, Yunfeng Liu
Image Mosaic Algorithm-Based Analysis of Effects of Low-Dose X-Rays on Blood Immune Cells. Sci. Program. 2021 (2021)
Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas
Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. ACM Trans. Cyber Phys. Syst. 5 (2) (2021)
Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao
A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. CoRR (2020)
Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. IROS (2020)
Songyang Han, Walter O. Krawec, Fei Miao
A game-theoretic security framework for quantum cryptography: Performance analysis and application. Quantum Inf. Process. 19 (9) (2020)
Songyang Han, Fei Miao
Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning. CoRR (2020)
Fei Miao, Shuo Han, Shan Lin, Qian Wang, John A. Stankovic, Abdeltawab M. Hendawi, Desheng Zhang, Tian He, George J. Pappas
Data-Driven Robust Taxi Dispatch Under Demand Uncertainties. IEEE Trans. Control. Syst. Technol. 27 (1) (2019)
Songyang Han, Jie Fu, Fei Miao
Exploiting Beneficial Information Sharing Among Autonomous Vehicles. CDC (2019)
Qixing Wang, Fei Miao, Jie Wu, Yuan Niu, Chengliang Wang, Nicholas E. Lownes
Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement. CASE (2019)
Yukun Yuan, Desheng Zhang, Fei Miao, Jimin Chen, Tian He, Shan Lin
p^2Charging: Proactive Partial Charging for Electric Taxi Systems. ICDCS (2019)
Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
A hybrid stochastic game for secure control of cyber-physical systems. Autom. 93 (2018)
Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George J. Pappas, Shan Lin
Dynamic integration of heterogeneous transportation modes under disruptive events. ICCPS (2018)
Walter O. Krawec, Fei Miao
Game Theoretic Security Framework for Quantum Key Distribution. GameSec (2018)
Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems. CoRR (2017)
Ximing Chen, Fei Miao, George J. Pappas, Victor M. Preciado
Hierarchical data-driven vehicle dispatch and ride-sharing. CDC (2017)
Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks. IEEE Trans. Control. Netw. Syst. 4 (1) (2017)
Xiang Deng, Fei Miao, Daniel D. Lee
Artificial invariant subspace with potential functions for humanoid robot balancing. IROS (2017)
Fei Miao, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas
Data-driven distributionally robust vehicle balancing using dynamic region partitions. ICCPS (2017)
Shan Lin, Fei Miao, Jingbin Zhang, Gang Zhou, Lin Gu, Tian He, John A. Stankovic, Sang Hyuk Son, George J. Pappas
ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks. ACM Trans. Sens. Networks 12 (1) (2016)
Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Qian Wang, Desheng Zhang, Tian He, George J. Pappas
Data-Driven Robust Taxi Dispatch Approaches. ICCPS (2016)
Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Desheng Zhang, Sirajum Munir, Hua Huang, Tian He, George J. Pappas
Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach. IEEE Trans Autom. Sci. Eng. 13 (2) (2016)
Fei Miao, Shuo Han, Shan Lin, Qian Wang, John A. Stankovic, Abdeltawab M. Hendawi, Desheng Zhang, Tian He, George J. Pappas
Data-Driven Robust Taxi Dispatch under Demand Uncertainties. CoRR (2016)
Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Hua Huang, Desheng Zhang, Sirajum Munir, Tian He, George J. Pappas
Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach. CoRR (2016)
Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks. CoRR (2016)
Fei Miao, Shan Lin, Sirajum Munir, John A. Stankovic, Hua Huang, Desheng Zhang, Tian He, George J. Pappas
Taxi dispatch with real-time sensing data in metropolitan areas: a receding horizon control approach. ICCPS (2015)
Fei Miao, Shuo Han, Shan Lin, George J. Pappas
Robust taxi dispatch under model uncertainties. CDC (2015)
Fei Miao, Quanyan Zhu
A moving-horizon hybrid stochastic game for secure control of cyber-physical systems. CDC (2014)
Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
Coding sensor outputs for injection attacks detection. CDC (2014)
Fei Miao, Miroslav Pajic, George J. Pappas
Stochastic game approach for replay attack detection. CDC (2013)
Fei Miao, Miroslav Pajic, Rahul Mangharam, George J. Pappas
Networked realization of discrete-time controllers. ACC (2013)
Lin Cheng, Zhiyuan Wu, Yi Fu, Fei Miao, Junfeng Sun, Shanbao Tong
Reorganization of functional brain networks during the recovery of stroke: A functional MRI study. EMBC (2012)