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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://dblp1.uni-trier.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
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Journal Articles
- 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
- 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
- [i22]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) - [i21]Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu:
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability. CoRR abs/2402.08679 (2024) - [i20]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) - [i19]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) - 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
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