Shuo Han

According to our database, Shuo Han authored at least 49 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao

Trans. Mach. Learn. Res., 2024

Active Perception with Initial-State Uncertainty: A Policy Gradient Method.

Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu

CoRR, 2024

Robust Reward Design for Markov Decision Processes.

Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han

CoRR, 2024

Covert Planning aganist Imperfect Observers.

Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity.

Yansong Li, Shuo Han

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

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, Lynn Pepin, Guang Wang, Desheng Zhang, John A. Stankovic, Fei Miao

IEEE Trans. Intell. Transp. Syst., May, 2023

Robust Multi-Agent Reinforcement Learning with State Uncertainty.

Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao

Trans. Mach. Learn. Res., 2023

Synthesizing Attack-Aware Control and Active Sensing Strategies Under Reactive Sensor Attacks.

Sumukha Udupa, Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu

IEEE Control. Syst. Lett., 2023

Optimizing Sensor Allocation Against Attackers With Uncertain Intentions: A Worst-Case Regret Minimization Approach.

Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu

IEEE Control. Syst. Lett., 2023

Covert Planning against Imperfect Observers.

Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu

CoRR, 2023

Robust Electric Vehicle Balancing of Autonomous Mobility-on-Demand System: A Multi-Agent Reinforcement Learning Approach.

Sihong He, Shuo Han, Fei Miao

IROS, 2023

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems.

Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao

IROS, 2023

Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs.

Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu

Proceedings of the Decision and Game Theory for Security: 14th International Conference, 2023

Quantitative Planning with Action Deception in Concurrent Stochastic Games.

Chongyang Shi, Shuo Han, Jie Fu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs.

Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs.

Lening Li, Haoxiang Ma, Shuo Han, Jie Fu

Proceedings of the American Control Conference, 2023

Solving Strongly Convex and Smooth Stackelberg Games Without Modeling the Follower.

Yansong Li, Shuo Han

Proceedings of the American Control Conference, 2023

2022

An Approximation of 2-D Inverse Scattering Problems From a Convex Optimization Perspective.

Yangqing Liu, Shuo Han, Francesco Soldovieri, Danilo Erricolo

IEEE Geosci. Remote. Sens. Lett., 2022

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao

CoRR, 2022

A Robust and Constrained Multi-Agent Reinforcement Learning Framework for Electric Vehicle AMoD Systems.

Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao

CoRR, 2022

Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective.

Yansong Li, Shuo Han

Proceedings of the Learning for Dynamics and Control Conference, 2022

2021

Data-driven Distributionally Robust Optimization For Vehicle Balancing of Mobility-on-Demand Systems.

Fei Miao, Sihong He, Lynn Pepin, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas

ACM Trans. Cyber Phys. Syst., 2021

Gradient Methods With Dynamic Inexact Oracles.

Shuo Han

IEEE Control. Syst. Lett., 2021

A Secure and Efficient Federated Learning Framework for NLP.

Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness.

Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

Data-Driven Robust Taxi Dispatch Under Demand Uncertainties.

Fei Miao, Shuo Han, Shan Lin, Qian Wang, John A. Stankovic, Abdeltawab M. Hendawi, Desheng Zhang, Tian He, George J. Pappas

IEEE Trans. Control. Syst. Technol., 2019

Systematic Design of Decentralized Algorithms for Consensus Optimization.

Shuo Han

IEEE Control. Syst. Lett., 2019

Computational Convergence Analysis of Distributed Gradient Tracking for Smooth Convex Optimization Using Dissipativity Theory.

Shuo Han

Proceedings of the 2019 American Control Conference, 2019

2018

Computational Convergence Analysis of Distributed Gradient Descent for Smooth Convex Objective Functions.

Shuo Han

CoRR, 2018

Privacy in Control and Dynamical Systems.

Shuo Han, George J. Pappas

Annu. Rev. Control. Robotics Auton. Syst., 2018

2017

Differentially Private Distributed Constrained Optimization.

Shuo Han, Ufuk Topcu, George J. Pappas

IEEE Trans. Autom. Control., 2017

Data-driven distributionally robust vehicle balancing using dynamic region partitions.

Fei Miao, Shuo Han, Abdeltawab M. Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas

Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

Quantification on the efficiency gain of automated ridesharing services.

Shuo Han, Ufuk Topcu, George J. Pappas

Proceedings of the 2017 American Control Conference, 2017

2016

Taxi Dispatch With Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach.

Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Desheng Zhang, Sirajum Munir, Hua Huang, Tian He, George J. Pappas

IEEE Trans Autom. Sci. Eng., 2016

Gradual Release of Sensitive Data under Differential Privacy.

Fragkiskos Koufogiannis, Shuo Han, George J. Pappas

J. Priv. Confidentiality, 2016

Data-Driven Robust Taxi Dispatch Approaches.

Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Qian Wang, Desheng Zhang, Tian He, George J. Pappas

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Differential privacy in control and network systems.

Jorge Cortés, Geir E. Dullerud, Shuo Han, Jerome Le Ny, Sayan Mitra, George J. Pappas

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Event-based information-theoretic privacy: A case study of smart meters.

Shuo Han, Ufuk Topcu, George J. Pappas

Proceedings of the 2016 American Control Conference, 2016

2015

Data-Driven Network Resource Allocation for Controlling Spreading Processes.

Shuo Han, Victor M. Preciado, Cameron Nowzari, George J. Pappas

IEEE Trans. Netw. Sci. Eng., 2015

Bio-Inspired Framework for Allocation of Protection Resources in Cyber-Physical Networks.

Victor M. Preciado, Michael Zargham, Cameron Nowzari, Shuo Han, Masaki Ogura, George J. Pappas

CoRR, 2015

Optimality of the Laplace Mechanism in Differential Privacy.

Fragkiskos Koufogiannis, Shuo Han, George J. Pappas

CoRR, 2015

Robust taxi dispatch under model uncertainties.

Fei Miao, Shuo Han, Shan Lin, George J. Pappas

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A sublinear algorithm for barrier-certificate-based data-driven model validation of dynamical systems.

Shuo Han, Ufuk Topcu, George J. Pappas

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal control in Markov decision processes via distributed optimization.

Jie Fu, Shuo Han, Ufuk Topcu

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

An approximately truthful mechanism for electric vehicle charging via joint differential privacy.

Shuo Han, Ufuk Topcu, George J. Pappas

Proceedings of the American Control Conference, 2015

2014

Data-Driven Allocation of Vaccines for Controlling Epidemic Outbreaks.

Shuo Han, Victor M. Preciado, Cameron Nowzari, George J. Pappas

CoRR, 2014

Computation of privacy-preserving prices in smart grids.

Fragkiskos Koufogiannis, Shuo Han, George J. Pappas

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Differentially private convex optimization with piecewise affine objectives.

Shuo Han, Ufuk Topcu, George J. Pappas

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Differentially private distributed protocol for electric vehicle charging.

Shuo Han, Ufuk Topcu, George J. Pappas

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014