![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Shuo 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
— 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
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
- [c25]Haoxiang Ma, Chongyang Shi, Shuo Han, Michael R. Dorothy, Jie Fu:
Covert Planning aganist Imperfect Observers. AAMAS 2024: 1319-1327 - [c24]Yansong Li, Shuo Han:
Efficient Collaboration with Unknown Agents: Ignoring Similar Agents without Checking Similarity. AAMAS 2024: 2363-2365 - 2023
- [c23]Yansong Li, Shuo Han:
Solving Strongly Convex and Smooth Stackelberg Games Without Modeling the Follower. ACC 2023: 2332-2337 - [c22]Lening Li, Haoxiang Ma, Shuo Han, Jie Fu:
Synthesis of Proactive Sensor Placement In Probabilistic Attack Graphs. ACC 2023: 3415-3421 - [c21]Chongyang Shi, Shuo Han, Jie Fu:
Quantitative Planning with Action Deception in Concurrent Stochastic Games. AAMAS 2023: 122-130 - [c20]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 - [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
- [i25]Shuo Wu, Haoxiang Ma, Jie Fu, Shuo Han:
Robust Reward Design for Markov Decision Processes. CoRR abs/2406.05086 (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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-25 20:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint