Fei Miao - RankMe

95 papers A* 10A 9C 1Journal 57Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robust Detection of Cyberattacks on Distribution System Volt-VAR Control via Adversarial and Uncertain Analysis. IEEE Internet Things J. Alaa Selim, Junbo Zhao, Fei Miao, Sung-Yeul Park, Shan Zuo, Georgios Fragkos, Meng Yue
2026	J	`jnl`	Text-Guided Layer Fusion Mitigates Hallucination in Multimodal LLMs. CoRR Chenchen Lin, Sanbao Su, Rachel Luo, Yuxiao Chen, Yan Wang, Marco Pavone, Fei Miao
2026	J	`jnl`	α-OCC: Uncertainty-Aware Camera-based 3D Semantic Occupancy Prediction. Trans. Mach. Learn. Res. Sanbao Su, Nuo Chen, Chenchen Lin, Felix Juefei-Xu, Chen Feng, Fei Miao
2025	A*	`conf`	CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction. AAAI Huiqun Huang, Sihong He, Fei Miao
2025	J	`jnl`	LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts. CoRR Yuan Zhuang, Yi Shen, Yuexin Bian, Qing Su, Shihao Ji, Yuanyuan Shi, Fei Miao
2025	A	`conf`	Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications. IROS Jiangwei Wang, Shuo Yang, Ziyan An, Songyang Han, Zhili Zhang, Rahul Mangharam, Meiyi Ma, Fei Miao
2025	J	`jnl`	Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles. CoRR Keshawn Smith, Zhili Zhang, H. M. Sabbir Ahmad, Ehsan Sabouni, Maniak Mondal, Song Han, Wenchao Li, Fei Miao
2025	A*	`conf`	Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles. ICRA Zhili Zhang, H. M. Sabbir Ahmad, Ehsan Sabouni, Yanchao Sun, Furong Huang, Wenchao Li, Fei Miao
2025	J	`jnl`	UCS-YOLO: a novel approach for multi-scale small target detection in UAVs. J. Supercomput. Guang-Ling Sun, Fen-Qi Zhang, Yu-Min Zhu, Fei Miao
2025	J	`jnl`	Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks. CoRR Huiqun Huang, Cong Chen, Jean-Philippe Monteuuis, Jonathan Petit, Fei Miao
2025	A	`conf`	YOLO-MARL: You Only LLM Once for Multi-Agent Reinforcement Learning. IROS Yuan Zhuang, Yi Shen, Zhili Zhang, Yuxiao Chen, Fei Miao
2024	J	`jnl`	A Multi-Agent Reinforcement Learning Approach for Safe and Efficient Behavior Planning of Connected Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. Songyang Han, Shanglin Zhou, Jiangwei Wang, Lynn Pepin, Caiwen Ding, Jie Fu, Fei Miao
2024	J	`jnl`	Adaptive Deep Reinforcement Learning Algorithm for Distribution System Cyber Attack Defense With High Penetration of DERs. IEEE Trans. Smart Grid Alaa Selim, Junbo Zhao, Fei Ding, Fei Miao, Sung-Yeul Park
2024	J	`jnl`	Adaptive Uncertainty Quantification for Trajectory Prediction Under Distributional Shift. CoRR Huiqun Huang, Sihong He, Fei Miao
2024	J	`jnl`	An Intestinal Tumors Detection Model Based on Feature Distillation With Self-Correction Mechanism and PathGAN. IEEE Access Lingfeng Zhu, Jindong Liu, Dongmei Zheng, Ziran Cao, Fei Miao, Cheng Li, Jian He, Jing Guo
2024	J	`jnl`	Collaborative Multi-Object Tracking With Conformal Uncertainty Propagation. IEEE Robotics Autom. Lett. Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao
2024	A*	`conf`	Constrained Reinforcement Learning Under Model Mismatch. ICML Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	Constrained Reinforcement Learning Under Model Mismatch. CoRR Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	FairMove: A Data-Driven Vehicle Displacement System for Jointly Optimizing Profit Efficiency and Fairness of Electric For-Hire Vehicles. IEEE Trans. Mob. Comput. Guang Wang, Sihong He, Lin Jiang, Shuai Wang, Fei Miao, Fan Zhang, Zheng Dong, Desheng Zhang
2024	—	`conf`	MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. ECCV (78) Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren
2024	A*	`conf`	Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. ICML Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
2024	J	`jnl`	Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments. CoRR Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
2024	A*	`conf`	Policy Optimization for Robust Average Reward MDPs. NeurIPS Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
2024	J	`jnl`	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. ACM Trans. Cyber Phys. Syst. Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
2024	J	`jnl`	What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
2024	J	`jnl`	YOLO-MARL: You Only LLM Once for Multi-agent Reinforcement Learning. CoRR Yuan Zhuang, Yi Shen, Zhili Zhang, Yuxiao Chen, Fei Miao
2024	J	`jnl`	ɑ-SSC: Uncertainty-Aware Camera-based 3D Semantic Scene Completion. CoRR Sanbao Su, Nuo Chen, Felix Juefei-Xu, Chen Feng, Fei Miao
2023	J	`jnl`	: Mobility-Driven Integration of Heterogeneous Urban Cyber-Physical Systems Under Disruptive Events. IEEE Trans. Mob. Comput. Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George J. Pappas, Shan Lin
2023	A	`conf`	A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems. IROS Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2023	J	`jnl`	Collaborative Multi-Object Tracking with Conformal Uncertainty Propagation. CoRR Sanbao Su, Songyang Han, Yiming Li, Zhili Zhang, Chen Feng, Caiwen Ding, Fei Miao
2023	J	`jnl`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems Under Demand and Supply Uncertainties. IEEE Trans. Intell. Transp. Syst. Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
2023	—	`conf`	Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs. ISGT Alaa Selim, Junbo Zhao, Fei Ding, Fei Miao, Sung-Yeul Park
2023	J	`jnl`	Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications. CoRR Jiangwei Wang, Shuo Yang, Ziyan An, Songyang Han, Zhili Zhang, Rahul Mangharam, Meiyi Ma, Fei Miao
2023	A	`conf`	Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
2023	J	`jnl`	Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
2023	J	`jnl`	Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach. CoRR Sihong He, Shuo Han, Fei Miao
2023	A	`conf`	Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach. IROS Sihong He, Shuo Han, Fei Miao
2023	J	`jnl`	Robust Multi-Agent Reinforcement Learning with State Uncertainty. CoRR Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
2023	J	`jnl`	Robust Multi-Agent Reinforcement Learning with State Uncertainty. Trans. Mach. Learn. Res. Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao
2023	J	`jnl`	Safe and Robust Multi-Agent Reinforcement Learning for Connected Autonomous Vehicles under State Perturbations. CoRR Zhili Zhang, Yanchao Sun, Furong Huang, Fei Miao
2023	J	`jnl`	Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles. CoRR Songyang Han, Shanglin Zhou, Lynn Pepin, Jiangwei Wang, Caiwen Ding, Fei Miao
2023	A*	`conf`	Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios. ICRA Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
2023	J	`jnl`	Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning. CoRR Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin, Deniz Gurevin, Fei Miao, Caiwen Ding
2023	J	`jnl`	Surrogate Lagrangian Relaxation: A Path to Retrain-Free Deep Neural Network Pruning. ACM Trans. Design Autom. Electr. Syst. Shanglin Zhou, Mikhail A. Bragin, Deniz Gurevin, Lynn Pepin, Fei Miao, Caiwen Ding
2023	J	`jnl`	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. CoRR Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
2023	A*	`conf`	Uncertainty Quantification of Collaborative Detection for Self-Driving. ICRA Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
2022	J	`jnl`	A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems. CoRR Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao
2022	J	`jnl`	A Secure and Efficient Federated Learning Framework for NLP. CoRR Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
2022	J	`jnl`	Botnets Breaking Transformers: Localization of Power Botnet Attacks Against the Distribution Grid. CoRR Lynn Pepin, Lizhi Wang, Jiangwei Wang, Songyang Han, Pranav Pishawikar, Amir Herzberg, Peng Zhang, Fei Miao
2022	J	`jnl`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Autonomous Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR Sihong He, Zhili Zhang, Shuo Han, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao
2022	J	`jnl`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. CoRR Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
2022	J	`jnl`	DeResolver: A Decentralized Conflict Resolution Framework with Autonomous Negotiation for Smart City Services. ACM Trans. Cyber Phys. Syst. Yukun Yuan, Meiyi Ma, Songyang Han, Desheng Zhang, Fei Miao, John A. Stankovic, Shan Lin
2022	J	`jnl`	Robust Constrained Reinforcement Learning. CoRR Yue Wang, Fei Miao, Shaofeng Zou
2022	J	`jnl`	Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios. CoRR Zhili Zhang, Songyang Han, Jiangwei Wang, Fei Miao
2022	A*	`conf`	Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. ICRA Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, Fei Miao
2022	J	`jnl`	Stable and Efficient Shapley Value-Based Reward Reallocation for Multi-Agent Reinforcement Learning of Autonomous Vehicles. CoRR Songyang Han, He Wang, Sanbao Su, Yuanyuan Shi, Fei Miao
2022	J	`jnl`	Uncertainty Quantification of Collaborative Detection for Self-Driving. CoRR Sanbao Su, Yiming Li, Sihong He, Songyang Han, Chen Feng, Caiwen Ding, Fei Miao
2022	J	`jnl`	What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
2021	—	`conf`	A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
2021	—	`conf`	An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving. ISQED Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, Caiwen Ding
2021	A	`conf`	Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System. IROS Xiaoyang Xie, Kangjia Shao, Yang Wang, Fei Miao, Desheng Zhang
2021	A*	`conf`	Data-Driven Fairness-Aware Vehicle Displacement for Large-Scale Electric Taxi Fleets. ICDE Guang Wang, Shuxin Zhong, Shuai Wang, Fei Miao, Zheng Dong, Desheng Zhang
2021	J	`jnl`	Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems. ACM Trans. Cyber Phys. Syst. Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas
2021	—	`conf`	DeResolver: a decentralized negotiation and conflict resolution framework for smart city services. ICCPS Yukun Yuan, Meiyi Ma, Songyang Han, Desheng Zhang, Fei Miao, John A. Stankovic, Shan Lin
2021	A*	`conf`	Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation. IJCAI Deniz Gurevin, Mikhail A. Bragin, Caiwen Ding, Shanglin Zhou, Lynn Pepin, Bingbing Li, Fei Miao
2021	J	`jnl`	Image Mosaic Algorithm-Based Analysis of Effects of Low-Dose X-Rays on Blood Immune Cells. Sci. Program. Xiaohua Fu, Fei Miao, Jianbin Guo, Weijuan He, Yuying Deng, Yushan Wang, Xiaxiang Zeng, Wenbing Wang, Yunfeng Liu
2020	J	`jnl`	A Surrogate Lagrangian Relaxation-based Model Compression for Deep Neural Networks. CoRR Deniz Gurevin, Shanglin Zhou, Lynn Pepin, Bingbing Li, Mikhail A. Bragin, Caiwen Ding, Fei Miao
2020	J	`jnl`	A game-theoretic security framework for quantum cryptography: Performance analysis and application. Quantum Inf. Process. Songyang Han, Walter O. Krawec, Fei Miao
2020	J	`jnl`	Behavior Planning For Connected Autonomous Vehicles Using Feedback Deep Reinforcement Learning. CoRR Songyang Han, Fei Miao
2020	A	`conf`	Data-Driven Distributionally Robust Electric Vehicle Balancing for Mobility-on-Demand Systems under Demand and Supply Uncertainties. IROS Sihong He, Lynn Pepin, Guang Wang, Desheng Zhang, Fei Miao
2019	J	`jnl`	Data-Driven Robust Taxi Dispatch Under Demand Uncertainties. IEEE Trans. Control. Syst. Technol. Fei Miao, Shuo Han, Shan Lin, Qian Wang, John A. Stankovic, Abdeltawab M. Hendawi, Desheng Zhang, Tian He, George J. Pappas
2019	—	`conf`	Dynamic Pricing for Autonomous Vehicle E-hailing Services Reliability and Performance Improvement. CASE Qixing Wang, Fei Miao, Jie Wu, Yuan Niu, Chengliang Wang, Nicholas E. Lownes
2019	—	`conf`	Exploiting Beneficial Information Sharing Among Autonomous Vehicles. CDC Songyang Han, Jie Fu, Fei Miao
2019	A	`conf`	p^2Charging: Proactive Partial Charging for Electric Taxi Systems. ICDCS Yukun Yuan, Desheng Zhang, Fei Miao, Jimin Chen, Tian He, Shan Lin
2018	J	`jnl`	A hybrid stochastic game for secure control of cyber-physical systems. Autom. Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
2018	—	`conf`	Dynamic integration of heterogeneous transportation modes under disruptive events. ICCPS Yukun Yuan, Desheng Zhang, Fei Miao, John A. Stankovic, Tian He, George J. Pappas, Shan Lin
2018	—	`conf`	Game Theoretic Security Framework for Quantum Key Distribution. GameSec Walter O. Krawec, Fei Miao
2017	J	`jnl`	A Moving-Horizon Hybrid Stochastic Game for Secure Control of Cyber-Physical Systems. CoRR Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
2017	A	`conf`	Artificial invariant subspace with potential functions for humanoid robot balancing. IROS Xiang Deng, Fei Miao, Daniel D. Lee
2017	J	`jnl`	Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks. IEEE Trans. Control. Netw. Syst. Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
2017	—	`conf`	Data-driven distributionally robust vehicle balancing using dynamic region partitions. ICCPS Fei Miao, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas
2017	—	`conf`	Hierarchical data-driven vehicle dispatch and ride-sharing. CDC Ximing Chen, Fei Miao, George J. Pappas, Victor M. Preciado
2016	J	`jnl`	ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks. ACM Trans. Sens. Networks Shan Lin, Fei Miao, Jingbin Zhang, Gang Zhou, Lin Gu, Tian He, John A. Stankovic, Sang Hyuk Son, George J. Pappas
2016	J	`jnl`	Coding Schemes for Securing Cyber-Physical Systems Against Stealthy Data Injection Attacks. CoRR Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
2016	—	`conf`	Data-Driven Robust Taxi Dispatch Approaches. ICCPS Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Qian Wang, Desheng Zhang, Tian He, George J. Pappas
2016	J	`jnl`	Data-Driven Robust Taxi Dispatch under Demand Uncertainties. CoRR Fei Miao, Shuo Han, Shan Lin, Qian Wang, John A. Stankovic, Abdeltawab M. Hendawi, Desheng Zhang, Tian He, George J. Pappas
2016	J	`jnl`	Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach. IEEE Trans Autom. Sci. Eng. Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Desheng Zhang, Sirajum Munir, Hua Huang, Tian He, George J. Pappas
2016	J	`jnl`	Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach. CoRR Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Hua Huang, Desheng Zhang, Sirajum Munir, Tian He, George J. Pappas
2015	—	`conf`	Robust taxi dispatch under model uncertainties. CDC Fei Miao, Shuo Han, Shan Lin, George J. Pappas
2015	—	`conf`	Taxi dispatch with real-time sensing data in metropolitan areas: a receding horizon control approach. ICCPS Fei Miao, Shan Lin, Sirajum Munir, John A. Stankovic, Hua Huang, Desheng Zhang, Tian He, George J. Pappas
2014	—	`conf`	A moving-horizon hybrid stochastic game for secure control of cyber-physical systems. CDC Fei Miao, Quanyan Zhu
2014	—	`conf`	Coding sensor outputs for injection attacks detection. CDC Fei Miao, Quanyan Zhu, Miroslav Pajic, George J. Pappas
2013	C	`conf`	Networked realization of discrete-time controllers. ACC Fei Miao, Miroslav Pajic, Rahul Mangharam, George J. Pappas
2013	—	`conf`	Stochastic game approach for replay attack detection. CDC Fei Miao, Miroslav Pajic, George J. Pappas
2012	—	`conf`	Reorganization of functional brain networks during the recovery of stroke: A functional MRI study. EMBC Lin Cheng, Zhiyuan Wu, Yi Fu, Fei Miao, Junfeng Sun, Shanbao Tong