Bin Hu - RankMe

71 papers A* 14C 9Journal 42Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integral Quadratic Constraints for Repeated ReLU. CoRR Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter J. Seiler
2025	J	`jnl`	An Exact, Finite Dimensional Representation for Full-Block, Circle Criterion Multipliers. CoRR Felix Biertümpfel, Bin Hu, Geir E. Dullerud, Peter J. Seiler
2025	J	`jnl`	Discrete-Time Stability Analysis of ReLU Feedback Systems via Integral Quadratic Constraints. CoRR Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter J. Seiler
2025	J	`jnl`	Improved Scalable Lipschitz Bounds for Deep Neural Networks. CoRR Usman Syed, Bin Hu
2025	—	`conf`	Scalable Decomposition for Stability Analysis of Feedback Systems with High-Dimensional Neural Network Components. CDC Zichen Wang, Peter J. Seiler, Geir E. Dullerud, Bin Hu
2025	J	`jnl`	Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs. CoRR Xingang Guo, Yaxin Li, Xiangyi Kong, Yilan Jiang, Xiayu Zhao, Zhihua Gong, Yufan Zhang, Daixuan Li, Tianle Sang, Beixiao Zhu, Gregory Jun, Yingbing Huang, Yiqi Liu, Yuqi Xue, Rahul Dev Kundu, Qi Jian Lim, Yizhou Zhao, Luke Alexander Granger, Mohamed Badr Younis, Darioush Keivan, Nippun Sabharwal, Shreyanka Sinha, Prakhar Agarwal, Kojo Vandyck, Hanlin Mai, Zichen Wang, Aditya Venkatesh, Ayush Barik, Jiankun Yang, Chongying Yue, Jingjie He, Libin Wang, Licheng Xu, Hao Chen, Jinwen Wang, Liujun Xu, Rushabh Shetty, Ziheng Guo, Dahui Song, Manvi Jha, Weijie Liang, Weiman Yan, Bryan Zhang, Sahil Bhandary Karnoor, Jialiang Zhang, Rutva Pandya, Xinyi Gong, Mithesh Ballae Ganesh, Feize Shi, Ruiling Xu, Yifan Zhang, Yanfeng Ouyang, Lianhui Qin, Elyse Rosenbaum, Corey Snyder, Peter Seiler, Geir E. Dullerud, Xiaojia Shelly Zhang, Zuofu Cheng, Pavan Kumar Hanumolu, Jian Huang, Mayank Kulkarni, Mahdi Namazifar, Huan Zhang, Bin Hu
2024	C	`conf`	A Case Study on the Convergence of Direct Policy Search for Linear Quadratic Gaussian Control. ACC Darioush Keivan, Peter J. Seiler, Geir E. Dullerud, Bin Hu
2024	J	`jnl`	A Complete Set of Quadratic Constraints For Repeated ReLU. CoRR Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter Seiler
2024	J	`jnl`	Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors. CoRR Usman Syed, Ethan Light, Xingang Guo, Huan Zhang, Lianhui Qin, Yanfeng Ouyang, Bin Hu
2024	A*	`conf`	COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability. ICML Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu
2024	J	`jnl`	COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability. CoRR Xingang Guo, Fangxu Yu, Huan Zhang, Lianhui Qin, Bin Hu
2024	J	`jnl`	Capabilities of Large Language Models in Control Engineering: A Benchmark Study on GPT-4, Claude 3 Opus, and Gemini 1.0 Ultra. CoRR Darioush Kevian, Usman Syed, Xingang Guo, Aaron J. Havens, Geir E. Dullerud, Peter J. Seiler, Lianhui Qin, Bin Hu
2024	J	`jnl`	ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise. CoRR Xingang Guo, Darioush Keivan, Usman Syed, Lianhui Qin, Huan Zhang, Geir E. Dullerud, Peter J. Seiler, Bin Hu
2024	A*	`conf`	Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention. ICML Aaron J. Havens, Alexandre Araujo, Huan Zhang, Bin Hu
2024	J	`jnl`	Model-Free μ-Synthesis: A Nonsmooth Optimization Perspective. CoRR Darioush Keivan, Xingang Guo, Peter J. Seiler, Geir E. Dullerud, Bin Hu
2024	A*	`conf`	Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. ICLR Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
2024	J	`jnl`	Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations. CoRR Patricia Pauli, Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
2024	A*	`conf`	On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks. ICLR Zi Wang, Bin Hu, Aaron J. Havens, Alexandre Araujo, Yang Zheng, Yudong Chen, Somesh Jha
2024	J	`jnl`	Online Nonstochastic Control Versus Retrospective Cost Adaptive Control. IEEE Control. Syst. Lett. Usman Syed, Yingying Li, Bin Hu
2024	—	`conf`	Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks. CDC Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter J. Seiler
2024	J	`jnl`	Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks. CoRR Sahel Vahedi Noori, Bin Hu, Geir E. Dullerud, Peter Seiler
2023	A*	`conf`	A Unified Algebraic Perspective on Lipschitz Neural Networks. ICLR Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
2023	J	`jnl`	A Unified Algebraic Perspective on Lipschitz Neural Networks. CoRR Alexandre Araujo, Aaron J. Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
2023	A*	`conf`	Complexity of Derivative-Free Policy Optimization for Structured H NeurIPS Xingang Guo, Darioush Keivan, Geir E. Dullerud, Peter J. Seiler, Bin Hu
2023	J	`jnl`	Connectivity of the Feasible and Sublevel Sets of Dynamic Output Feedback Control With Robustness Constraints. IEEE Control. Syst. Lett. Bin Hu, Yang Zheng
2023	A*	`conf`	Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. NeurIPS Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
2023	J	`jnl`	Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability. CoRR Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen
2023	A*	`conf`	Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models. NeurIPS Aaron J. Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Bin Hu
2023	C	`conf`	Learning the Kalman Filter with Fine-Grained Sample Complexity. ACC Xiangyuan Zhang, Bin Hu, Tamer Basar
2023	J	`jnl`	Learning the Kalman Filter with Fine-Grained Sample Complexity. CoRR Xiangyuan Zhang, Bin Hu, Tamer Basar
2023	J	`jnl`	Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient Method and Global Convergence. IEEE Trans. Autom. Control. Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud
2023	J	`jnl`	Revisiting PGD Attacks for Stability Analysis of High-Dimensional Nonlinear Systems and Perception-Based Control. IEEE Control. Syst. Lett. Aaron J. Havens, Darioush Keivan, Peter J. Seiler, Geir E. Dullerud, Bin Hu
2023	J	`jnl`	Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2022	C	`conf`	Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods. ACC Xingang Guo, Bin Hu
2022	J	`jnl`	Convex Programs and Lyapunov Functions for Reinforcement Learning: A Unified Perspective on the Analysis of Value-Based Methods. CoRR Xingang Guo, Bin Hu
2022	J	`jnl`	Exact Formulas for Finite-Time Estimation Errors of Decentralized Temporal Difference Learning with Linear Function Approximation. CoRR Xingang Guo, Bin Hu
2022	A*	`conf`	Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential. NeurIPS Xingang Guo, Bin Hu
2022	J	`jnl`	Global Convergence of Direct Policy Search for State-Feedback H CoRR Xingang Guo, Bin Hu
2022	C	`conf`	Model-Free μ Synthesis via Adversarial Reinforcement Learning. ACC Darioush Keivan, Aaron J. Havens, Peter Seiler, Geir E. Dullerud, Bin Hu
2022	J	`jnl`	Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control. CoRR Aaron J. Havens, Darioush Keivan, Peter Seiler, Geir E. Dullerud, Bin Hu
2022	J	`jnl`	Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. CoRR Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
2021	J	`jnl`	Analysis of biased stochastic gradient descent using sequential semidefinite programs. Math. Program. Bin Hu, Peter Seiler, Laurent Lessard
2021	A*	`conf`	Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. NeurIPS Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar
2021	J	`jnl`	Derivative-Free Policy Optimization for Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity. CoRR Kaiqing Zhang, Xiangyuan Zhang, Bin Hu, Tamer Basar
2021	J	`jnl`	Model-Free $μ$ Synthesis via Adversarial Reinforcement Learning. CoRR Darioush Keivan, Aaron J. Havens, Peter Seiler, Geir E. Dullerud, Bin Hu
2021	C	`conf`	On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions. ACC Aaron J. Havens, Bin Hu
2021	J	`jnl`	On Imitation Learning of Linear Control Policies: Enforcing Stability and Robustness Constraints via LMI Conditions. CoRR Aaron J. Havens, Bin Hu
2021	J	`jnl`	Policy Optimization for ℋ SIAM J. Control. Optim. Kaiqing Zhang, Bin Hu, Tamer Basar
2020	J	`jnl`	Analytical convergence regions of accelerated gradient descent in nonconvex optimization under Regularity Condition. Autom. Huaqing Xiong, Yuejie Chi, Bin Hu, Wei Zhang
2020	C	`conf`	Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems. ACC Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud
2020	J	`jnl`	Convergence Guarantees of Policy Optimization Methods for Markovian Jump Linear Systems. CoRR Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud
2020	A*	`conf`	On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems. NeurIPS Kaiqing Zhang, Bin Hu, Tamer Basar
2020	—	`conf`	Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems. L4DC Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud
2020	J	`jnl`	Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems. CoRR Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud
2020	—	`conf`	Policy Optimization for H L4DC Kaiqing Zhang, Bin Hu, Tamer Basar
2020	J	`jnl`	Policy Optimization for Markovian Jump Linear Quadratic Control: Gradient-Based Methods and Global Convergence. CoRR Joao Paulo Jansch-Porto, Bin Hu, Geir E. Dullerud
2019	J	`jnl`	Policy Optimization for H CoRR Kaiqing Zhang, Bin Hu, Tamer Basar
2018	C	`conf`	A Robust Accelerated Optimization Algorithm for Strongly Convex Functions. ACC Saman Cyrus, Bin Hu, Bryan Van Scoy, Laurent Lessard
2018	A*	`conf`	Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. ICML Bin Hu, Stephen J. Wright, Laurent Lessard
2018	J	`jnl`	Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs. CoRR Bin Hu, Stephen J. Wright, Laurent Lessard
2017	J	`jnl`	A Robust Accelerated Optimization Algorithm for Strongly Convex Functions. CoRR Saman Cyrus, Bin Hu, Bryan Van Scoy, Laurent Lessard
2017	A*	`conf`	A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints. COLT Bin Hu, Peter Seiler, Anders Rantzer
2017	J	`jnl`	Control Interpretations for First-Order Optimization Methods. CoRR Bin Hu, Laurent Lessard
2017	C	`conf`	Control interpretations for first-order optimization methods. ACC Bin Hu, Laurent Lessard
2017	A*	`conf`	Dissipativity Theory for Nesterov's Accelerated Method. ICML Bin Hu, Laurent Lessard
2017	—	`conf`	Robust convergence analysis of distributed optimization algorithms. Allerton Akhil Sundararajan, Bin Hu, Laurent Lessard
2016	J	`jnl`	Exponential Decay Rate Conditions for Uncertain Linear Systems Using Integral Quadratic Constraints. IEEE Trans. Autom. Control. Bin Hu, Peter J. Seiler
2015	J	`jnl`	A probabilistic method for certification of analytically redundant systems. Int. J. Appl. Math. Comput. Sci. Bin Hu, Peter J. Seiler
2015	J	`jnl`	Pivotal decomposition for reliability analysis of fault tolerant control systems on unmanned aerial vehicles. Reliab. Eng. Syst. Saf. Bin Hu, Peter J. Seiler
2014	C	`conf`	Worst-case false alarm analysis of fault detection systems. ACC Bin Hu, Peter J. Seiler
2013	—	`conf`	Probability bounds for false alarm analysis of fault detection systems. Allerton Bin Hu, Peter J. Seiler