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ORCIDShuo Han 0002
Person information
- affiliation: University of Illinois at Chicago, IL, USA
- affiliation (former): University of Pennsylvania, Philadelphia, PA, USA
- affiliation (Ph.D., 2013): California Institute of Technology, Pasadena, CA, USA
Other persons with the same name
- Shuo Han — disambiguation page
- Shuo Han 0001
![[0000-0003-2033-9004]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2033-9004")
— Johns Hopkins University, Baltimore, MD, USA - Shuo Han 0003 — Tianjin University of Technology and Education, Tianjin, China
- Shuo Han 0004 — University of Chinese Academy of Sciences, Beijing, China
- Shuo Han 0005 — Purdue University, West Lafayette, Indiana, USA
- Shuo Han 0006 — University of Toronto, Toronto, ON, Canada
- Shuo Han 0007 — Harbin Institute of Technology, Harbin, China
- Shuo Han 0008 — National Taipei University, New Taipei City, Taiwan
- Shuo Han 0009 — University of Massachusetts Lowell, Lowell, MA, USA
- Shuo Han 0010 — Peking University, Beijing, China
- Shuo Han 0011 — California Institute of Technology, Pasadena, CA, USA
- Shuo Han 0012 — Northeastern University, Shenyang, China
- Shuo Han 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Shuo Han 0014 — Dalian Maritime University, Dalian, China
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Journal Articles
- 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)- 2023
- [j14]Sumukha Udupa, Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Synthesizing Attack-Aware Control and Active Sensing Strategies Under Reactive Sensor Attacks. IEEE Control. Syst. Lett. 7: 265-270 (2023) - [j13]Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu:
Optimizing Sensor Allocation Against Attackers With Uncertain Intentions: A Worst-Case Regret Minimization Approach. IEEE Control. Syst. Lett. 7: 2863-2868 (2023) - [j12]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) - [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) - 2022
- [j10]Yangqing Liu, Shuo Han, Francesco Soldovieri, Danilo Erricolo:
An Approximation of 2-D Inverse Scattering Problems From a Convex Optimization Perspective. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [j9]Shuo Han:
Gradient Methods With Dynamic Inexact Oracles. IEEE Control. Syst. Lett. 5(4): 1163-1168 (2021) - [j8]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) - 2019
- [j7]Shuo Han:
Systematic Design of Decentralized Algorithms for Consensus Optimization. IEEE Control. Syst. Lett. 3(4): 966-971 (2019) - [j6]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
- [j5]Shuo Han, George J. Pappas:
Privacy in Control and Dynamical Systems. Annu. Rev. Control. Robotics Auton. Syst. 1: 309-332 (2018) - 2017
- [j4]Shuo Han, Ufuk Topcu, George J. Pappas:
Differentially Private Distributed Constrained Optimization. IEEE Trans. Autom. Control. 62(1): 50-64 (2017) - 2016
- [j3]Fragkiskos Koufogiannis, Shuo Han, George J. Pappas:
Gradual Release of Sensitive Data under Differential Privacy. J. Priv. Confidentiality 7(2) (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) - 2015
- [j1]Shuo Han, Victor M. Preciado, Cameron Nowzari, George J. Pappas:
Data-Driven Network Resource Allocation for Controlling Spreading Processes. IEEE Trans. Netw. Sci. Eng. 2(4): 127-138 (2015)
Conference and Workshop Papers
- 2024
- [c26]Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu:
Covert Planning aganist Imperfect Observers. AAMAS 2024: 1319-1327 - [c25]Yansong Li, Shuo Han:
Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity. AAMAS 2024: 2363-2365 - 2023
- [c24]Yansong Li, Shuo Han:
Solving Strongly Convex and Smooth Stackelberg Games Without Modeling the Follower. ACC 2023: 2332-2337 - [c23]Lening Li, Haoxiang Ma, Shuo Han, Jie Fu:
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. ACC 2023: 3415-3421 - [c22]Chongyang Shi, Shuo Han, Jie Fu:
Quantitative Planning with Action Deception in Concurrent Stochastic Games. AAMAS 2023: 122-130 - [c21]Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu:
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. AAMAS 2023: 2616-2618 - [c20]Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu:
Optimal Resource Allocation for Proactive Defense with Deception in Probabilistic Attack Graphs. GameSec 2023: 215-233 - [c19]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 - [c18]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 - 2022
- [c17]Yansong Li, Shuo Han:
Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective. L4DC 2022: 304-315 - 2021
- [c16]Shuo Han:
Gradient Methods with Dynamic Inexact Oracles. ACC 2021: 941-946 - [c15]Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. CDC 2021: 586-592 - [c14]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 - 2019
- [c13]Shuo Han:
Computational Convergence Analysis of Distributed Gradient Tracking for Smooth Convex Optimization Using Dissipativity Theory. ACC 2019: 4086-4091 - 2017
- [c12]Shuo Han, Ufuk Topcu, George J. Pappas:
Quantification on the efficiency gain of automated ridesharing services. ACC 2017: 3560-3566 - [c11]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 - 2016
- [c10]Shuo Han, Ufuk Topcu, George J. Pappas:
Event-based information-theoretic privacy: A case study of smart meters. ACC 2016: 2074-2079 - [c9]Jorge Cortés, Geir E. Dullerud, Shuo Han, Jerome Le Ny, Sayan Mitra, George J. Pappas:
Differential privacy in control and network systems. CDC 2016: 4252-4272 - [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]Shuo Han, Ufuk Topcu, George J. Pappas:
An approximately truthful mechanism for electric vehicle charging via joint differential privacy. ACC 2015: 2469-2475 - [c6]Shuo Han, Ufuk Topcu, George J. Pappas:
A sublinear algorithm for barrier-certificate-based data-driven model validation of dynamical systems. CDC 2015: 2049-2054 - [c5]Fei Miao, Shuo Han, Shan Lin, George J. Pappas:
Robust taxi dispatch under model uncertainties. CDC 2015: 2816-2821 - [c4]Jie Fu, Shuo Han, Ufuk Topcu:
Optimal control in Markov decision processes via distributed optimization. CDC 2015: 7462-7469 - 2014
- [c3]Shuo Han, Ufuk Topcu, George J. Pappas:
Differentially private distributed protocol for electric vehicle charging. Allerton 2014: 242-249 - [c2]Fragkiskos Koufogiannis, Shuo Han, George J. Pappas:
Computation of privacy-preserving prices in smart grids. CDC 2014: 2142-2147 - [c1]Shuo Han, Ufuk Topcu, George J. Pappas:
Differentially private convex optimization with piecewise affine objectives. CDC 2014: 2160-2166
Informal and Other Publications
- 2024
- [i26]Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han:
Robust Reward Design for Markov Decision Processes. CoRR abs/2406.05086 (2024) - [i25]Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu:
Active Perception with Initial-State Uncertainty: A Policy Gradient Method. CoRR abs/2409.16439 (2024) - 2023
- [i24]Haoxiang Ma, Shuo Han, Nandi Leslie, Charles A. Kamhoua, Jie Fu:
Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs. CoRR abs/2301.01336 (2023) - [i23]Chongyang Shi, Shuo Han, Jie Fu:
Quantitative Planning with Action Deception in Concurrent Stochastic Games. CoRR abs/2301.01349 (2023) - [i22]Haoxiang Ma, Shuo Han, Charles A. Kamhoua, Jie Fu:
Optimizing Sensor Allocation against Attackers with Uncertain Intentions: A Worst-Case Regret Minimization Approach. CoRR abs/2304.05962 (2023) - [i21]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) - [i20]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) - [i19]Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu:
Covert Planning against Imperfect Observers. CoRR abs/2310.16791 (2023) - 2022
- [i18]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) - [i17]Sumukha Udupa, Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks. CoRR abs/2204.01584 (2022) - [i16]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) - [i15]Lening Li, Haoxiang Ma, Shuo Han, Jie Fu:
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. CoRR abs/2210.07385 (2022) - [i14]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) - [i13]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) - 2021
- [i12]Abhishek Ninad Kulkarni, Shuo Han, Nandi O. Leslie, Charles A. Kamhoua, Jie Fu:
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness. CoRR abs/2104.00176 (2021) - 2019
- [i11]Shuo Han:
Systematic Design of Decentralized Algorithms for Consensus Optimization. CoRR abs/1903.01023 (2019) - 2018
- [i10]Shuo Han:
Computational Convergence Analysis of Distributed Gradient Descent for Smooth Convex Objective Functions. CoRR abs/1810.00257 (2018) - 2016
- [i9]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) - [i8]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) - 2015
- [i7]Victor M. Preciado, Michael Zargham, Cameron Nowzari, Shuo Han, Masaki Ogura, George J. Pappas:
Bio-Inspired Framework for Allocation of Protection Resources in Cyber-Physical Networks. CoRR abs/1503.03537 (2015) - [i6]Jie Fu, Shuo Han, Ufuk Topcu:
Optimal control in Markov decision processes via distributed optimization. CoRR abs/1503.07189 (2015) - [i5]Fragkiskos Koufogiannis, Shuo Han, George J. Pappas:
Optimality of the Laplace Mechanism in Differential Privacy. CoRR abs/1504.00065 (2015) - [i4]Fragkiskos Koufogiannis, Shuo Han, George J. Pappas:
Gradual Release of Sensitive Data under Differential Privacy. CoRR abs/1504.00429 (2015) - 2014
- [i3]Shuo Han, Ufuk Topcu, George J. Pappas:
Differentially Private Convex Optimization with Piecewise Affine Objectives. CoRR abs/1403.6135 (2014) - [i2]Shuo Han, Ufuk Topcu, George J. Pappas:
Differentially Private Distributed Constrained Optimization. CoRR abs/1411.4105 (2014) - [i1]Shuo Han, Victor M. Preciado, Cameron Nowzari, George J. Pappas:
Data-Driven Allocation of Vaccines for Controlling Epidemic Outbreaks. CoRR abs/1412.2144 (2014)
Coauthor Index
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