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Journal Articles
- 2024
[j20]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: 51676-51689 (2024)- [j19]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): 3323-3330 (2024) - [j18]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): 16 (2024) - [j17]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): 3654-3670 (2024) - [j16]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): 6785-6802 (2024) - [j15]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) - [j14]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): 4077-4089 (2024) - 2023
- [j13]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): 5199-5215 (2023) - [j12]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): 906-922 (2023) - [j11]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) - [j10]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): 102:1-102:19 (2023) - 2022
- [j9]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): 29:1-29:27 (2022) - 2021
- [j8]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: 2888567:1-2888567:9 (2021) - [j7]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): 17:1-17:27 (2021) - 2020
- [j6]Songyang Han, Walter O. Krawec, Fei Miao:
A game-theoretic security framework for quantum cryptography: Performance analysis and application. Quantum Inf. Process. 19(9): 349 (2020) - 2019
- [j5]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): 175-191 (2019) - 2018
- [j4]Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas:
A hybrid stochastic game for secure control of cyber-physical systems. Autom. 93: 55-63 (2018) - 2017
- [j3]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): 106-117 (2017) - 2016
- [j2]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): 463-478 (2016) - [j1]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): 6:1-6:31 (2016)
Conference and Workshop Papers
- 2024
- [c33]Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren:
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. ECCV (78) 2024: 325-342 - [c32]Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson:
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. ICML 2024 - [c31]Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou:
Constrained Reinforcement Learning Under Model Mismatch. ICML 2024 - 2023
- [c30]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: 5574-5580 - [c29]Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao:
Uncertainty Quantification of Collaborative Detection for Self-Driving. ICRA 2023: 5588-5594 - [c28]Sihong He, Shuo Han, Fei Miao:
Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS 2023: 5471-5478 - [c27]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: 5637-5644 - [c26]Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su:
Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS 2023: 11141-11147 - [c25]Alaa Selim, Junbo Zhao, Fei Ding, Fei Miao, Sung-Yeul Park:
Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs. ISGT 2023: 1-5 - 2022
- [c24]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: 8765-8771 - 2021
- [c23]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: 7676-7682 - [c22]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: 98-109 - [c21]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: 1200-1211 - [c20]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: 2497-2504 - [c19]Xiaoyang Xie, Kangjia Shao, Yang Wang, Fei Miao, Desheng Zhang:
Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System. IROS 2021: 4869-4874 - [c18]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: 122-128 - 2020
- [c17]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: 2165-2172 - 2019
- [c16]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: 948-953 - [c15]Songyang Han, Jie Fu, Fei Miao:
Exploiting Beneficial Information Sharing Among Autonomous Vehicles. CDC 2019: 2226-2232 - [c14]Yukun Yuan, Desheng Zhang, Fei Miao, Jimin Chen, Tian He, Shan Lin:
p^2Charging: Proactive Partial Charging for Electric Taxi Systems. ICDCS 2019: 688-699 - 2018
- [c13]Walter O. Krawec, Fei Miao:
Game Theoretic Security Framework for Quantum Key Distribution. GameSec 2018: 38-58 - [c12]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: 65-76 - 2017
- [c11]Ximing Chen, Fei Miao, George J. Pappas, Victor M. Preciado:
Hierarchical data-driven vehicle dispatch and ride-sharing. CDC 2017: 4458-4463 - [c10]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: 261-271 - [c9]Xiang Deng, Fei Miao, Daniel D. Lee:
Artificial invariant subspace with potential functions for humanoid robot balancing. IROS 2017: 4538-4545 - 2016
- [c8]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: 37:1 - 2015
- [c7]Fei Miao, Shuo Han, Shan Lin, George J. Pappas:
Robust taxi dispatch under model uncertainties. CDC 2015: 2816-2821 - [c6]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: 100-109 - 2014
- [c5]Fei Miao, Quanyan Zhu:
A moving-horizon hybrid stochastic game for secure control of cyber-physical systems. CDC 2014: 517-522 - [c4]Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas:
Coding sensor outputs for injection attacks detection. CDC 2014: 5776-5781 - 2013
- [c3]Fei Miao, Miroslav Pajic, Rahul Mangharam, George J. Pappas:
Networked realization of discrete-time controllers. ACC 2013: 2996-3001 - [c2]Fei Miao, Miroslav Pajic, George J. Pappas:
Stochastic game approach for replay attack detection. CDC 2013: 1854-1859 - 2012
- [c1]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: 4132-4135
Informal and Other Publications
- 2024
- [i29]Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou:
Constrained Reinforcement Learning Under Model Mismatch. CoRR abs/2405.01327 (2024) - [i28]Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson:
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR abs/2405.19499 (2024) - [i27]Sanbao Su, Nuo Chen, Felix Juefei-Xu, Chen Feng, Fei Miao:
ɑ-SSC: Uncertainty-Aware Camera-based 3D Semantic Scene Completion. CoRR abs/2406.11021 (2024) - [i26]Huiqun Huang, Sihong He, Fei Miao:
Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. CoRR abs/2406.12100 (2024) - 2023
- [i25]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 abs/2302.04321 (2023) - [i24]Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su:
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR abs/2303.04340 (2023) - [i23]Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao:
Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation. CoRR abs/2303.14346 (2023) - [i22]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 abs/2304.04120 (2023) - [i21]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 abs/2306.06808 (2023) - [i20]Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao:
Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR abs/2307.16212 (2023) - [i19]Sihong He, Shuo Han, Fei Miao:
Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR abs/2307.16228 (2023) - [i18]Zhili Zhang, Yanchao Sun, Furong Huang, Fei Miao:
Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. CoRR abs/2309.11057 (2023) - [i17]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 abs/2309.16716 (2023) - 2022
- [i16]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 abs/2201.11934 (2022) - [i15]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 abs/2203.06333 (2022) - [i14]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 abs/2203.10158 (2022) - [i13]Yue Wang, Fei Miao, Shaofeng Zou:
Robust Constrained Reinforcement Learning. CoRR abs/2209.06866 (2022) - [i12]Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao:
Uncertainty Quantification of Collaborative Detection for Self-Driving. CoRR abs/2209.08162 (2022) - [i11]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 abs/2209.08230 (2022) - [i10]Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao:
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios. CoRR abs/2210.02300 (2022) - [i9]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 abs/2210.10887 (2022) - [i8]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 abs/2211.13797 (2022) - [i7]Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao:
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR abs/2212.02705 (2022) - 2020
- [i6]Songyang Han, Fei Miao:
Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning. CoRR abs/2003.04371 (2020) - [i5]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 abs/2012.10079 (2020) - 2017
- [i4]Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas:
A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems. CoRR abs/1710.00288 (2017) - 2016
- [i3]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 abs/1603.04418 (2016) - [i2]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 abs/1603.06263 (2016) - [i1]Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas:
Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks. CoRR abs/1605.08962 (2016)
Coauthor Index
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