default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBin Hu 0002
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Coordinated Science Laboratory, Champaign, IL, USA
- affiliation (2016 - 2018): University of Wisconsin, Wisconsin Institute for Discovery, Madison, WI, USA
- affiliation (PhD 2016): University of Minnesota, Aerospace Engineering and Mechanics Department, Minneapolis, MN, USA
Other persons with the same name
- Bin Hu — disambiguation page
- Bin Hu 0001
![[0000-0003-3514-5413]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3514-5413")
— Beijing Institute of Technology, School of Medical Technology, China (and 4 more) - Bin Hu 0003 — Harbin Institute of Technology, Research Institute of Electronic Engineering Technology, China (and 1 more)
- Bin Hu 0004 — AIT Austrian Institute of Technology, Vienna, Austria (and 1 more)
- Bin Hu 0006 — Huazhong University of Science and Technology, School of Management, Wuhan, China
- Bin Hu 0007 — National Institute of Standards and Technology, US Department of Commerce, Gaithersburg, MD, USA (and 1 more)
- Bin Hu 0008 — Huazhong University of Science and Technology, College of Automation, Wuhan, China
- Bin Hu 0009 — University of Texas at Dallas, Department of Information Systems and Operations Management, TX, USA
- Bin Hu 0010 — Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China (and 2 more)
- Bin Hu 0011 — PLA SSF Information Engineering University, Zhengzhou, China
- Bin Hu 0012 — Harbin Institute of Technology, School of Electronics and Information Engineering, Key Laboratory of Marine Environmental Monitoring and Information Processing, China
- Bin Hu 0013 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, China
- Bin Hu 0014 — University of Houston, Cullen College of Engineering, Houston, TX, USA (and 3 more)
- Bin Hu 0015 — Jilin University, College of Geo-Exploration Science and Technology, Changchun, China
- Bin Hu 0016 — Kean University, Department of Computer Science and Technology, Union, NJ, USA (and 1 more)
- Bin Hu 0017 — Nanjing Normal University, College of Geographic Science, China
- Bin Hu 0018 — Shanghai University of Engineering Science, School of Management, China (and 1 more)
- Bin Hu 0019 — Wuhan University of Science and Technology, School of Resource and Environmental Engineering, China (and 1 more)
- Bin Hu 0020 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Bin Hu 0021 — Central South University, School of Computer Science, Changsha, China
- Bin Hu 0022 — Nanjing Agriculture University, College on Information Science & Technology, China
- Bin Hu 0023 — Nantong University, School of Information Science and Technology, Jiangsu, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j11]Usman Syed, Yingying Li, Bin Hu:
Online Nonstochastic Control Versus Retrospective Cost Adaptive Control. IEEE Control. Syst. Lett. 8: 1859-1864 (2024)- 2023
- [j10]Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar:
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. 6: 123-158 (2023) - [j9]Aaron J. Havens, Darioush Keivan, Peter J. Seiler, Geir E. Dullerud, Bin Hu:
Revisiting PGD Attacks for Stability Analysis of High-Dimensional Nonlinear Systems and Perception-Based Control. IEEE Control. Syst. Lett. 7: 343-348 (2023) - [j8]Bin Hu, Yang Zheng:
Connectivity of the Feasible and Sublevel Sets of Dynamic Output Feedback Control With Robustness Constraints. IEEE Control. Syst. Lett. 7: 442-447 (2023) - [j7]Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient Method and Global Convergence. IEEE Trans. Autom. Control. 68(4): 2475-2482 (2023) - 2021
- [j6]Bin Hu, Peter Seiler, Laurent Lessard:
Analysis of biased stochastic gradient descent using sequential semidefinite programs. Math. Program. 187(1): 383-408 (2021) - [j5]Kaiqing Zhang, Bin Hu, Tamer Basar:
Policy Optimization for ℋ2 Linear Control with ℋ∞ Robustness Guarantee: Implicit Regularization and Global Convergence. SIAM J. Control. Optim. 59(6): 4081-4109 (2021) - 2020
- [j4]Huaqing Xiong, Yuejie Chi, Bin Hu, Wei Zhang:
Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition. Autom. 113: 108715 (2020) - 2016
- [j3]Bin Hu, Peter J. Seiler:
Exponential Decay Rate Conditions for Uncertain Linear Systems Using Integral Quadratic Constraints. IEEE Trans. Autom. Control. 61(11): 3631-3637 (2016) - 2015
- [j2]Bin Hu, Peter J. Seiler:
A probabilistic method for certification of analytically redundant systems. Int. J. Appl. Math. Comput. Sci. 25(1): 103-116 (2015) - [j1]Bin Hu, Peter J. Seiler:
Pivotal decomposition for reliability analysis of fault tolerant control systems on unmanned aerial vehicles. Reliab. Eng. Syst. Saf. 140: 130-141 (2015)
Conference and Workshop Papers
- 2024
- [c27]Darioush Keivan, Peter J. Seiler, Geir E. Dullerud, Bin Hu:
A Case Study on the Convergence of Direct Policy Search for Linear Quadratic Gaussian Control. ACC 2024: 3710-3715 - [c26]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. ICLR 2024 - [c25]Zi Wang, Bin Hu, Aaron J. Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha:
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks. ICLR 2024 - [c24]Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu:
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability. ICML 2024 - [c23]Aaron J. Havens, Alexandre Araujo, Huan Zhang, Bin Hu:
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention. ICML 2024 - 2023
- [c22]Xiangyuan Zhang, Bin Hu, Tamer Basar:
Learning the Kalman Filter with Fine-Grained Sample Complexity. ACC 2023: 4549-4554 - [c21]Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu:
A Unified Algebraic Perspective on Lipschitz Neural Networks. ICLR 2023 - [c20]Xingang Guo, Darioush Keivan, Geir E. Dullerud, Peter J. Seiler, Bin Hu:
Complexity of Derivative-Free Policy Optimization for Structured H∞ Control. NeurIPS 2023 - [c19]Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu:
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models. NeurIPS 2023 - [c18]Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen:
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. NeurIPS 2023 - 2022
- [c17]Xingang Guo, Bin Hu:
Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods. ACC 2022: 3317-3322 - [c16]Darioush Keivan, Aaron J. Havens, Peter Seiler, Geir E. Dullerud, Bin Hu:
Model-Free μ Synthesis via Adversarial Reinforcement Learning. ACC 2022: 3335-3341 - [c15]Xingang Guo, Bin Hu:
Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential. NeurIPS 2022 - 2021
- [c14]Aaron J. Havens, Bin Hu:
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions. ACC 2021: 882-887 - [c13]Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar:
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. NeurIPS 2021: 2949-2964 - 2020
- [c12]Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems. ACC 2020: 2882-2887 - [c11]Kaiqing Zhang, Bin Hu, Tamer Basar:
Policy Optimization for H2 Linear Control with H∞ Robustness Guarantee: Implicit Regularization and Global Convergence. L4DC 2020: 179-190 - [c10]Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems. L4DC 2020: 947-957 - [c9]Kaiqing Zhang, Bin Hu, Tamer Basar:
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems. NeurIPS 2020 - 2018
- [c8]Saman Cyrus, Bin Hu, Bryan Van Scoy, Laurent Lessard:
A Robust Accelerated Optimization Algorithm for Strongly Convex Functions. ACC 2018: 1376-1381 - [c7]Bin Hu, Stephen J. Wright, Laurent Lessard:
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. ICML 2018: 2043-2052 - 2017
- [c6]Akhil Sundararajan, Bin Hu, Laurent Lessard:
Robust convergence analysis of distributed optimization algorithms. Allerton 2017: 1206-1212 - [c5]Bin Hu, Laurent Lessard:
Control interpretations for first-order optimization methods. ACC 2017: 3114-3119 - [c4]Bin Hu, Peter Seiler, Anders Rantzer:
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints. COLT 2017: 1157-1189 - [c3]Bin Hu, Laurent Lessard:
Dissipativity Theory for Nesterov's Accelerated Method. ICML 2017: 1549-1557 - 2014
- [c2]Bin Hu, Peter J. Seiler:
Worst-case false alarm analysis of fault detection systems. ACC 2014: 654-659 - 2013
- [c1]Bin Hu, Peter J. Seiler:
Probability bounds for false alarm analysis of fault detection systems. Allerton 2013: 989-995
Informal and Other Publications
- 2024
- [i25]Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu:
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. CoRR abs/2401.14033 (2024) - [i24]Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu:
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability. CoRR abs/2402.08679 (2024) - [i23]Darioush Keivan, Xingang Guo, Peter J. Seiler, Geir E. Dullerud, Bin Hu:
Model-Free μ-Synthesis: A Nonsmooth Optimization Perspective. CoRR abs/2402.11654 (2024) - [i22]Darioush Kevian, Usman Syed, Xingang Guo, Aaron J. Havens, Geir E. Dullerud, Peter J. Seiler, Lianhui Qin, Bin Hu:
Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra. CoRR abs/2404.03647 (2024) - [i21]Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter Seiler:
Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks. CoRR abs/2405.05236 (2024) - [i20]Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter Seiler:
A Complete Set of Quadratic Constraints For Repeated ReLU. CoRR abs/2407.06888 (2024) - [i19]Usman Syed, Ethan Light, Xingang Guo, Huan Zhang, Lianhui Qin, Yanfeng Ouyang, Bin Hu:
Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors. CoRR abs/2408.08302 (2024) - 2023
- [i18]Xiangyuan Zhang, Bin Hu, Tamer Basar:
Learning the Kalman Filter with Fine-Grained Sample Complexity. CoRR abs/2301.12624 (2023) - [i17]Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu:
A Unified Algebraic Perspective on Lipschitz Neural Networks. CoRR abs/2303.03169 (2023) - [i16]Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen:
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. CoRR abs/2305.16494 (2023) - 2022
- [i15]Aaron J. Havens, Darioush Keivan, Peter Seiler, Geir E. Dullerud, Bin Hu:
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control. CoRR abs/2201.00801 (2022) - [i14]Xingang Guo, Bin Hu:
Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods. CoRR abs/2202.06922 (2022) - [i13]Xingang Guo, Bin Hu:
Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation. CoRR abs/2204.09801 (2022) - [i12]Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar:
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR abs/2210.04810 (2022) - [i11]Xingang Guo, Bin Hu:
Global Convergence of Direct Policy Search for State-Feedback H∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential. CoRR abs/2210.11577 (2022) - 2021
- [i10]Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar:
Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. CoRR abs/2101.01041 (2021) - [i9]Aaron J. Havens, Bin Hu:
On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions. CoRR abs/2103.12945 (2021) - [i8]Darioush Keivan, Aaron J. Havens, Peter Seiler, Geir E. Dullerud, Bin Hu:
Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning. CoRR abs/2111.15537 (2021) - 2020
- [i7]Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems. CoRR abs/2002.04090 (2020) - [i6]Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems. CoRR abs/2006.03116 (2020) - [i5]Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud:
Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence. CoRR abs/2011.11852 (2020) - 2019
- [i4]Kaiqing Zhang, Bin Hu, Tamer Basar:
Policy Optimization for H2 Linear Control with H∞ Robustness Guarantee: Implicit Regularization and Global Convergence. CoRR abs/1910.09496 (2019) - 2018
- [i3]Bin Hu, Stephen J. Wright, Laurent Lessard:
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. CoRR abs/1806.03677 (2018) - 2017
- [i2]Bin Hu, Laurent Lessard:
Control Interpretations for First-Order Optimization Methods. CoRR abs/1703.01670 (2017) - [i1]Saman Cyrus, Bin Hu, Bryan Van Scoy, Laurent Lessard:
A Robust Accelerated Optimization Algorithm for Strongly Convex Functions. CoRR abs/1710.04753 (2017)
Coauthor Index
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 2024-11-08 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
