Differentially private distributed protocol for electric vehicle charging. - Shuo Han 002; Ufuk Topcu; George J. Pappas (Allerton, 2014)

Differentially private convex optimization with piecewise affine objectives. - Shuo Han 002; Ufuk Topcu; George J. Pappas (CDC, 2014)

Computation of privacy-preserving prices in smart grids. - Fragkiskos Koufogiannis; Shuo Han 002; George J. Pappas (CDC, 2014)

Data-Driven Allocation of Vaccines for Controlling Epidemic Outbreaks. - Shuo Han 002; Victor M. Preciado; Cameron Nowzari; George J. Pappas (CoRR, 2014)

An approximately truthful mechanism for electric vehicle charging via joint differential privacy. - Shuo Han 002; Ufuk Topcu; George J. Pappas (ACC, 2015)

Optimal control in Markov decision processes via distributed optimization. - Jie Fu 002; Shuo Han 002; Ufuk Topcu (CDC, 2015)

A sublinear algorithm for barrier-certificate-based data-driven model validation of dynamical systems. - Shuo Han 002; Ufuk Topcu; George J. Pappas (CDC, 2015)

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

Optimality of the Laplace Mechanism in Differential Privacy. - Fragkiskos Koufogiannis; Shuo Han 002; George J. Pappas (CoRR, 2015)

Bio-Inspired Framework for Allocation of Protection Resources in Cyber-Physical Networks. - Victor M. Preciado; Michael Zargham; Cameron Nowzari; Shuo Han 002; Masaki Ogura 001; George J. Pappas (CoRR, 2015)

Data-Driven Network Resource Allocation for Controlling Spreading Processes. - Shuo Han 002; Victor M. Preciado; Cameron Nowzari; George J. Pappas (IEEE Trans. Netw. Sci. Eng., 2015)

Event-based information-theoretic privacy: A case study of smart meters. - Shuo Han 002; Ufuk Topcu; George J. Pappas (ACC, 2016)

Differential privacy in control and network systems. - Jorge Cortés 001; Geir E. Dullerud; Shuo Han 002; Jerome Le Ny; Sayan Mitra; George J. Pappas (CDC, 2016)

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)

Gradual Release of Sensitive Data under Differential Privacy. - Fragkiskos Koufogiannis; Shuo Han 002; George J. Pappas (J. Priv. Confidentiality, 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)

Quantification on the efficiency gain of automated ridesharing services. - Shuo Han 002; Ufuk Topcu; George J. Pappas (ACC, 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)

Differentially Private Distributed Constrained Optimization. - Shuo Han 002; Ufuk Topcu; George J. Pappas (IEEE Trans. Autom. Control., 2017)

Privacy in Control and Dynamical Systems. - Shuo Han 002; George J. Pappas (Annu. Rev. Control. Robotics Auton. Syst., 2018)

Computational Convergence Analysis of Distributed Gradient Descent for Smooth Convex Objective Functions. - Shuo Han 002 (CoRR, 2018)

Computational Convergence Analysis of Distributed Gradient Tracking for Smooth Convex Optimization Using Dissipativity Theory. - Shuo Han 002 (ACC, 2019)

Systematic Design of Decentralized Algorithms for Consensus Optimization. - Shuo Han 002 (IEEE Control. Syst. Lett., 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)

Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. - Abhishek Ninad Kulkarni; Shuo Han 002; Nandi O. Leslie; Charles A. Kamhoua; Jie Fu 002 (CDC, 2021)

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)

Gradient Methods With Dynamic Inexact Oracles. - Shuo Han 002 (IEEE Control. Syst. Lett., 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)

Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective. - Yansong Li; Shuo Han 002 (L4DC, 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)

An Approximation of 2-D Inverse Scattering Problems From a Convex Optimization Perspective. - Yangqing Liu; Shuo Han 002; Francesco Soldovieri; Danilo Erricolo (IEEE Geosci. Remote. Sens. Lett., 2022)

Solving Strongly Convex and Smooth Stackelberg Games Without Modeling the Follower. - Yansong Li; Shuo Han 002 (ACC, 2023)

Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. - Lening Li; Haoxiang Ma; Shuo Han 002; Jie Fu 002 (ACC, 2023)

Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. - Haoxiang Ma; Shuo Han 002; Nandi Leslie; Charles A. Kamhoua; Jie Fu 002 (AAMAS, 2023)

Quantitative Planning with Action Deception in Concurrent Stochastic Games. - Chongyang Shi 002; Shuo Han 002; Jie Fu 002 (AAMAS, 2023)

Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs. - Haoxiang Ma; Shuo Han 002; Charles A. Kamhoua; Jie Fu 002 (GameSec, 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)

Covert Planning against Imperfect Observers. - Haoxiang Ma; Chongyang Shi 002; Shuo Han 002; Michael R. Dorothy; Jie Fu 002 (CoRR, 2023)

Optimizing Sensor Allocation Against Attackers With Uncertain Intentions: A Worst-Case Regret Minimization Approach. - Haoxiang Ma; Shuo Han 002; Charles A. Kamhoua; Jie Fu 002 (IEEE Control. Syst. Lett., 2023)

Synthesizing Attack-Aware Control and Active Sensing Strategies Under Reactive Sensor Attacks. - Sumukha Udupa; Abhishek Ninad Kulkarni; Shuo Han 002; Nandi O. Leslie; Charles A. Kamhoua; Jie Fu 002 (IEEE Control. Syst. Lett., 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)

Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity. - Yansong Li; Shuo Han 002 (AAMAS, 2024)

Covert Planning aganist Imperfect Observers. - Haoxiang Ma; Chongyang Shi 002; Shuo Han 002; Michael R. Dorothy; Jie Fu 002 (AAMAS, 2024)

Active Perception With Initial-State Uncertainty: A Policy Gradient Method. - Chongyang Shi 002; Shuo Han 002; Michael R. Dorothy; Jie Fu 002 (IEEE Control. Syst. 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)

Robust Reward Design for Markov Decision Processes. - Shuo Wu; Haoxiang Ma; Jie Fu 002; Shuo Han 002 (J. Artif. Intell. Res., 2025)

Adaptive Incentive Design for Markov Decision Processes with Unknown Rewards. - Haoxiang Ma; Shuo Han 002; Ahmed Hemida; Charles A. Kamhoua; Jie Fu 002 (Trans. Mach. Learn. Res., 2025)

Active Inference through Incentive Design in Markov Decision Processes. - Xinyi Wei; Chongyang Shi 002; Shuo Han 002; Ahmed H. Anwar; Charles A. Kamhoua; Jie Fu 002 (CoRR, 2025)

Strategic Planning of Stealthy Backdoor Attacks in Markov Decision Processes. - Xinyi Wei; Shuo Han 002; Ahmed H. Anwar; Charles A. Kamhoua; Jie Fu 002 (CoRR, 2025)