Shuo Han - RankMe

74 papers A 6C 7Journal 48Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lightweight No-Regret Online Learning in Repeated Stackelberg Security Games. IEEE Control. Syst. Lett. Guanda Chen, Yiding Ji, Shuo Han
2025	J	`jnl`	Active Inference through Incentive Design in Markov Decision Processes. CoRR Xinyi Wei, Chongyang Shi, Shuo Han, Ahmed H. Anwar, Charles A. Kamhoua, Jie Fu
2025	J	`jnl`	Adaptive Incentive Design for Markov Decision Processes with Unknown Rewards. Trans. Mach. Learn. Res. Haoxiang Ma, Shuo Han, Ahmed Hemida, Charles A. Kamhoua, Jie Fu
2025	J	`jnl`	Policy Gradient Methods for Information-Theoretic Opacity in Markov Decision Processes. CoRR Chongyang Shi, Sumukha Udupa, Michael R. Dorothy, Shuo Han, Jie Fu
2025	J	`jnl`	Robust Reward Design for Markov Decision Processes. J. Artif. Intell. Res. Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han
2025	J	`jnl`	Strategic Planning of Stealthy Backdoor Attacks in Markov Decision Processes. CoRR Xinyi Wei, Shuo Han, Ahmed H. Anwar, Charles A. Kamhoua, Jie Fu
2024	J	`jnl`	Active Perception With Initial-State Uncertainty: A Policy Gradient Method. IEEE Control. Syst. Lett. Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
2024	J	`jnl`	Active Perception with Initial-State Uncertainty: A Policy Gradient Method. CoRR Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
2024	A	`conf`	Covert Planning aganist Imperfect Observers. AAMAS Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
2024	A	`conf`	Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity. AAMAS Yansong Li, Shuo Han
2024	J	`jnl`	Robust Reward Design for Markov Decision Processes. CoRR Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han
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
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`	Covert Planning against Imperfect Observers. CoRR Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu
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	A	`conf`	Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. AAMAS Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu
2023	J	`jnl`	Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. CoRR Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu
2023	—	`conf`	Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs. GameSec Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu
2023	J	`jnl`	Optimizing Sensor Allocation Against Attackers With Uncertain Intentions: A Worst-Case Regret Minimization Approach. IEEE Control. Syst. Lett. Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu
2023	J	`jnl`	Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach. CoRR Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu
2023	A	`conf`	Quantitative Planning with Action Deception in Concurrent Stochastic Games. AAMAS Chongyang Shi, Shuo Han, Jie Fu
2023	J	`jnl`	Quantitative Planning with Action Deception in Concurrent Stochastic Games. CoRR Chongyang Shi, Shuo Han, Jie Fu
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	C	`conf`	Solving Strongly Convex and Smooth Stackelberg Games Without Modeling the Follower. ACC Yansong Li, Shuo Han
2023	C	`conf`	Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. ACC Lening Li, Haoxiang Ma, Shuo Han, Jie Fu
2023	J	`jnl`	Synthesizing Attack-Aware Control and Active Sensing Strategies Under Reactive Sensor Attacks. IEEE Control. Syst. Lett. Sumukha Udupa, Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu
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	—	`conf`	Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective. L4DC Yansong Li, Shuo Han
2022	J	`jnl`	An Approximation of 2-D Inverse Scattering Problems From a Convex Optimization Perspective. IEEE Geosci. Remote. Sens. Lett. Yangqing Liu, Shuo Han, Francesco Soldovieri, Danilo Erricolo
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`	Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. CoRR Lening Li, Haoxiang Ma, Shuo Han, Jie Fu
2022	J	`jnl`	Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks. CoRR Sumukha Udupa, Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu
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	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	J	`jnl`	Gradient Methods With Dynamic Inexact Oracles. IEEE Control. Syst. Lett. Shuo Han
2021	C	`conf`	Gradient Methods with Dynamic Inexact Oracles. ACC Shuo Han
2021	—	`conf`	Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. CDC Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu
2021	J	`jnl`	Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. CoRR Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu
2019	C	`conf`	Computational Convergence Analysis of Distributed Gradient Tracking for Smooth Convex Optimization Using Dissipativity Theory. ACC Shuo Han
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	J	`jnl`	Systematic Design of Decentralized Algorithms for Consensus Optimization. CoRR Shuo Han
2019	J	`jnl`	Systematic Design of Decentralized Algorithms for Consensus Optimization. IEEE Control. Syst. Lett. Shuo Han
2018	J	`jnl`	Computational Convergence Analysis of Distributed Gradient Descent for Smooth Convex Objective Functions. CoRR Shuo Han
2018	J	`jnl`	Privacy in Control and Dynamical Systems. Annu. Rev. Control. Robotics Auton. Syst. Shuo Han, 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	J	`jnl`	Differentially Private Distributed Constrained Optimization. IEEE Trans. Autom. Control. Shuo Han, Ufuk Topcu, George J. Pappas
2017	C	`conf`	Quantification on the efficiency gain of automated ridesharing services. ACC Shuo Han, Ufuk Topcu, 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	—	`conf`	Differential privacy in control and network systems. CDC Jorge Cortés, Geir E. Dullerud, Shuo Han, Jerome Le Ny, Sayan Mitra, George J. Pappas
2016	C	`conf`	Event-based information-theoretic privacy: A case study of smart meters. ACC Shuo Han, Ufuk Topcu, George J. Pappas
2016	J	`jnl`	Gradual Release of Sensitive Data under Differential Privacy. J. Priv. Confidentiality Fragkiskos Koufogiannis, Shuo Han, 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`	A sublinear algorithm for barrier-certificate-based data-driven model validation of dynamical systems. CDC Shuo Han, Ufuk Topcu, George J. Pappas
2015	C	`conf`	An approximately truthful mechanism for electric vehicle charging via joint differential privacy. ACC Shuo Han, Ufuk Topcu, George J. Pappas
2015	J	`jnl`	Bio-Inspired Framework for Allocation of Protection Resources in Cyber-Physical Networks. CoRR Victor M. Preciado, Michael Zargham, Cameron Nowzari, Shuo Han, Masaki Ogura, George J. Pappas
2015	J	`jnl`	Data-Driven Network Resource Allocation for Controlling Spreading Processes. IEEE Trans. Netw. Sci. Eng. Shuo Han, Victor M. Preciado, Cameron Nowzari, George J. Pappas
2015	J	`jnl`	Gradual Release of Sensitive Data under Differential Privacy. CoRR Fragkiskos Koufogiannis, Shuo Han, George J. Pappas
2015	—	`conf`	Optimal control in Markov decision processes via distributed optimization. CDC Jie Fu, Shuo Han, Ufuk Topcu
2015	J	`jnl`	Optimal control in Markov decision processes via distributed optimization. CoRR Jie Fu, Shuo Han, Ufuk Topcu
2015	J	`jnl`	Optimality of the Laplace Mechanism in Differential Privacy. CoRR Fragkiskos Koufogiannis, Shuo Han, George J. Pappas
2015	—	`conf`	Robust taxi dispatch under model uncertainties. CDC Fei Miao, Shuo Han, Shan Lin, George J. Pappas
2014	—	`conf`	Computation of privacy-preserving prices in smart grids. CDC Fragkiskos Koufogiannis, Shuo Han, George J. Pappas
2014	J	`jnl`	Data-Driven Allocation of Vaccines for Controlling Epidemic Outbreaks. CoRR Shuo Han, Victor M. Preciado, Cameron Nowzari, George J. Pappas
2014	J	`jnl`	Differentially Private Convex Optimization with Piecewise Affine Objectives. CoRR Shuo Han, Ufuk Topcu, George J. Pappas
2014	J	`jnl`	Differentially Private Distributed Constrained Optimization. CoRR Shuo Han, Ufuk Topcu, George J. Pappas
2014	—	`conf`	Differentially private convex optimization with piecewise affine objectives. CDC Shuo Han, Ufuk Topcu, George J. Pappas
2014	—	`conf`	Differentially private distributed protocol for electric vehicle charging. Allerton Shuo Han, Ufuk Topcu, George J. Pappas