Bin Hu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Exponential Decay

Optimization Methods

Top Venues

IEEE Control. Syst. Lett.

Publications

Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter Seiler
A Complete Set of Quadratic Constraints For Repeated ReLU. CoRR (2024)
Usman Syed, Yingying Li, Bin Hu
Online Nonstochastic Control Versus Retrospective Cost Adaptive Control. IEEE Control. Syst. Lett. 8 (2024)
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)
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)
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 (2024)
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 (2024)
Darioush Keivan, Xingang Guo, Peter J. Seiler, Geir E. Dullerud, Bin Hu
Model-Free μ-Synthesis: A Nonsmooth Optimization Perspective. CoRR (2024)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. NeurIPS (2023)
Bin Hu, Yang Zheng
Connectivity of the Feasible and Sublevel Sets of Dynamic Output Feedback Control With Robustness Constraints. IEEE Control. Syst. Lett. 7 (2023)
Alexandre Araujo, Aaron Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
A Unified Algebraic Perspective on Lipschitz Neural Networks. CoRR (2023)
Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
A Unified Algebraic Perspective on Lipschitz Neural Networks. ICLR (2023)
Xingang Guo, Darioush Keivan, Geir E. Dullerud, Peter J. Seiler, Bin Hu
Control. NeurIPS (2023)
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) (2023)
Aaron 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 (2023)
Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models. NeurIPS (2023)
Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. CoRR (2023)
Darioush Keivan, Aaron Havens, Peter Seiler, Geir E. Dullerud, Bin Hu
Model-Free μ Synthesis via Adversarial Reinforcement Learning. ACC (2022)
Bin Hu, Peter J. Seiler, Laurent Lessard
Analysis of biased stochastic gradient descent using sequential semidefinite programs. Math. Program. 187 (1) (2021)
Saman Cyrus, Bin Hu, Bryan Van Scoy, Laurent Lessard
A Robust Accelerated Optimization Algorithm for Strongly Convex Functions. ACC (2018)
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 (2018)
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)
Bin Hu, Laurent Lessard
Control Interpretations for First-Order Optimization Methods. CoRR (2017)
Bin Hu, Laurent Lessard
Dissipativity Theory for Nesterov's Accelerated Method. ICML (2017)
Bin Hu, Peter J. Seiler, Anders Rantzer
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints. COLT (2017)
Saman Cyrus, Bin Hu, Bryan Van Scoy, Laurent Lessard
A Robust Accelerated Optimization Algorithm for Strongly Convex Functions. CoRR (2017)
Bin Hu, Laurent Lessard
Control interpretations for first-order optimization methods. ACC (2017)
Akhil Sundararajan, Bin Hu, Laurent Lessard
Robust convergence analysis of distributed optimization algorithms. Allerton (2017)
Bin Hu, Peter J. Seiler
Exponential Decay Rate Conditions for Uncertain Linear Systems Using Integral Quadratic Constraints. IEEE Trans. Autom. Control. 61 (11) (2016)
Bin Hu, Peter J. Seiler
A probabilistic method for certification of analytically redundant systems. Int. J. Appl. Math. Comput. Sci. 25 (1) (2015)
Bin Hu, Peter J. Seiler
Pivotal decomposition for reliability analysis of fault tolerant control systems on unmanned aerial vehicles. Reliab. Eng. Syst. Saf. 140 (2015)
Bin Hu, Peter J. Seiler
Worst-case false alarm analysis of fault detection systems. ACC (2014)
Bin Hu, Peter J. Seiler
Probability bounds for false alarm analysis of fault detection systems. Allerton (2013)