Weiye Zhao - RankMe

46 papers A* 3C 6Misc 2Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots. L4DC Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu
2025	J	`jnl`	Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. J. Artif. Intell. Res. Weiye Zhao, Feihan Li, Tairan He, Changliu Liu
2025	—	`conf`	Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. L4DC Yifan Sun, Feihan Li, Weiye Zhao, Rui Chen, Tianhao Wei, Changliu Liu
2025	J	`jnl`	Physics-Aware Combinatorial Assembly Sequence Planning Using Data-Free Action Masking. IEEE Robotics Autom. Lett. Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu
2025	J	`jnl`	SPARK: A Modular Benchmark for Humanoid Robot Safety. CoRR Yifan Sun, Rui Chen, Kai S. Yun, Yikuan Fang, Sebin Jung, Feihan Li, Bowei Li, Weiye Zhao, Changliu Liu
2024	A*	`conf`	Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. ICML Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu
2024	J	`jnl`	Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. CoRR Weiye Zhao, Feihan Li, Yifan Sun, Yujie Wang, Rui Chen, Tianhao Wei, Changliu Liu
2024	J	`jnl`	An overlap estimation guided feature metric approach for real point cloud registration. Comput. Graph. Fukai Zhang, Lulu Zhang, Tiancheng He, Yiran Sun, Shan Zhao, Yanmei Zhang, Xueliang Zhao, Weiye Zhao
2024	J	`jnl`	Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots. CoRR Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	GUARD: A Safe Reinforcement Learning Benchmark. Trans. Mach. Learn. Res. Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Ruixuan Liu, Tianhao Wei, Changliu Liu
2024	C	`conf`	Hybrid Task Constrained Incremental Planner for Robot Manipulators in Confined Environments. ACC Yifan Sun, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning. CoRR Weiye Zhao, Tairan He, Feihan Li, Changliu Liu
2024	J	`jnl`	Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability. Trans. Mach. Learn. Res. Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu
2024	Misc	`conf`	Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRL Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. CoRR Tianhao Wei, Liqian Ma, Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	Physics-Aware Combinatorial Assembly Planning using Deep Reinforcement Learning. CoRR Ruixuan Liu, Alan Chen, Weiye Zhao, Changliu Liu
2024	C	`conf`	Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. ACC Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
2024	J	`jnl`	Real-time Safety Index Adaptation for Parameter-varying Systems via Determinant Gradient Ascend. CoRR Rui Chen, Weiye Zhao, Ruixuan Liu, Weiyang Zhang, Changliu Liu
2024	C	`conf`	Safety Index Synthesis with State-Dependent Control Space. ACC Rui Chen, Weiye Zhao, Changliu Liu
2024	J	`jnl`	State-wise Constrained Policy Optimization. Trans. Mach. Learn. Res. Weiye Zhao, Rui Chen, Yifan Sun, Feihan Li, Tianhao Wei, Changliu Liu
2024	J	`jnl`	WeHelp: A Shared Autonomy System for Wheelchair Users. CoRR Abulikemu Abuduweili, Alice Wu, Tianhao Wei, Weiye Zhao
2023	J	`jnl`	A hierarchical long short term safety framework for efficient robot manipulation under uncertainty. Robotics Comput. Integr. Manuf. Suqin He, Weiye Zhao, Chuxiong Hu, Yu Zhu, Changliu Liu
2023	A*	`conf`	AutoCost: Evolving Intrinsic Cost for Zero-Violation Reinforcement Learning. AAAI Tairan He, Weiye Zhao, Changliu Liu
2023	J	`jnl`	AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning. CoRR Tairan He, Weiye Zhao, Changliu Liu
2023	J	`jnl`	GUARD: A Safe Reinforcement Learning Benchmark. CoRR Weiye Zhao, Rui Chen, Yifan Sun, Ruixuan Liu, Tianhao Wei, Changliu Liu
2023	J	`jnl`	Hybrid Task Constrained Planner for Robot Manipulator in Confined Environment. CoRR Yifan Sun, Weiye Zhao, Changliu Liu
2023	J	`jnl`	Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. CoRR Weiye Zhao, Yifan Sun, Feihan Li, Rui Chen, Tianhao Wei, Changliu Liu
2023	J	`jnl`	Learning Predictive Safety Filter via Decomposition of Robust Invariant Set. CoRR Zeyang Li, Chuxiong Hu, Weiye Zhao, Changliu Liu
2023	J	`jnl`	Persistently Feasible Robust Safe Control by Safety Index Synthesis and Convex Semi-Infinite Programming. IEEE Control. Syst. Lett. Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu
2023	—	`conf`	Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. L4DC Weiye Zhao, Tairan He, Changliu Liu
2023	C	`conf`	Safety Index Synthesis via Sum-of-Squares Programming. ACC Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
2023	J	`jnl`	Safety Index Synthesis with State-dependent Control Space. CoRR Rui Chen, Weiye Zhao, Changliu Liu
2023	J	`jnl`	State-wise Constrained Policy Optimization. CoRR Weiye Zhao, Rui Chen, Yifan Sun, Tianhao Wei, Changliu Liu
2023	A*	`conf`	State-wise Safe Reinforcement Learning: A Survey. IJCAI Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
2023	J	`jnl`	State-wise Safe Reinforcement Learning: A Survey. CoRR Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu
2022	J	`jnl`	Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models. CoRR Weiye Zhao, Tairan He, Changliu Liu
2022	J	`jnl`	Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. IEEE Control. Syst. Lett. Weiye Zhao, Suqin He, Changliu Liu
2022	J	`jnl`	Robust Safe Control for Uncertain Dynamic Models. CoRR Tianhao Wei, Shucheng Kang, Weiye Zhao, Changliu Liu
2022	J	`jnl`	Safety Index Synthesis via Sum-of-Squares Programming. CoRR Weiye Zhao, Tairan He, Tianhao Wei, Simin Liu, Changliu Liu
2021	Misc	`conf`	Model-free Safe Control for Zero-Violation Reinforcement Learning. CoRL Weiye Zhao, Tairan He, Changliu Liu
2021	J	`jnl`	Provably Safe Tolerance Estimation for Robot Arms via Sum-of-Squares Programming. CoRR Weiye Zhao, Suqin He, Changliu Liu
2020	J	`jnl`	Contact-Rich Trajectory Generation in Confined Environments Using Iterative Convex Optimization. CoRR Weiye Zhao, Suqin He, Chengtao Wen, Changliu Liu
2020	C	`conf`	Experimental Evaluation of Human Motion Prediction Toward Safe and Efficient Human Robot Collaboration. ACC Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka
2020	J	`jnl`	Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration. CoRR Weiye Zhao, Liting Sun, Changliu Liu, Masayoshi Tomizuka
2019	C	`conf`	Human Motion Prediction using Semi-adaptable Neural Networks. ACC Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka
2018	J	`jnl`	Human Motion Prediction using Adaptable Neural Networks. CoRR Yujiao Cheng, Weiye Zhao, Changliu Liu, Masayoshi Tomizuka