Zhehua Zhou - RankMe

27 papers A* 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mosaic: model-based safety analysis for AI-enabled cyber physical system. Empir. Softw. Eng. Xuan Xie, Jiayang Song, Zhehua Zhou, Fuyuan Zhang, Lei Ma
2026	J	`jnl`	Online Safety Analysis for LLMs: A Benchmark, an Assessment, and a Path Forward. IEEE Trans. Artif. Intell. Xuan Xie, Jiayang Song, Zhehua Zhou, Yuheng Huang, Da Song, Lei Ma
2025	J	`jnl`	GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model. IEEE Trans. Neural Networks Learn. Syst. Zhehua Zhou, Xuan Xie, Jiayang Song, Zhan Shu, Lei Ma
2025	—	`conf`	Multilingual Blending: Large Language Model Safety Alignment Evaluation with Language Mixture. NAACL (Findings) Jiayang Song, Yuheng Huang, Zhehua Zhou, Lei Ma
2025	J	`jnl`	VLATest: Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation. Proc. ACM Softw. Eng. Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, Lei Ma
2024	J	`jnl`	Enabling Versatility and Dexterity of the Dual-Arm Manipulators: A General Framework Toward Universal Cooperative Manipulation. IEEE Trans. Robotics Yi Ren, Zhehua Zhou, Ziwei Xu, Yang Yang, Guangyao Zhai, Marion Leibold, Fenglei Ni, Zhengyou Zhang, Martin Buss, Yu Zheng
2024	J	`jnl`	GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model. CoRR Zhehua Zhou, Xuan Xie, Jiayang Song, Zhan Shu, Lei Ma
2024	A*	`conf`	ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning. ICRA Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma
2024	J	`jnl`	LADEV: A Language-Driven Testing and Evaluation Platform for Vision-Language-Action Models in Robotic Manipulation. CoRR Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, Lei Ma
2024	J	`jnl`	MORTAR: A Model-based Runtime Action Repair Framework for AI-enabled Cyber-Physical Systems. CoRR Renzhi Wang, Zhehua Zhou, Jiayang Song, Xuan Xie, Xiaofei Xie, Lei Ma
2024	J	`jnl`	Multilingual Blending: LLM Safety Alignment Evaluation with Language Mixture. CoRR Jiayang Song, Yuheng Huang, Zhehua Zhou, Lei Ma
2024	J	`jnl`	Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward. CoRR Xuan Xie, Jiayang Song, Zhehua Zhou, Yuheng Huang, Da Song, Lei Ma
2024	—	`conf`	Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. ICSE-SEIP Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See
2024	J	`jnl`	Towards Testing and Evaluating Vision-Language-Action Models for Robotic Manipulation: An Empirical Study. CoRR Zhijie Wang, Zhehua Zhou, Jiayang Song, Yuheng Huang, Zhan Shu, Lei Ma
2023	J	`jnl`	ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning. CoRR Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma
2023	J	`jnl`	Learning a Low-Dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. IEEE Trans. Neural Networks Learn. Syst. Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
2023	J	`jnl`	Mosaic: Model-based Safety Analysis Framework for AI-enabled Cyber-Physical Systems. CoRR Xuan Xie, Jiayang Song, Zhehua Zhou, Fuyuan Zhang, Lei Ma
2023	J	`jnl`	Off-Policy Risk-Sensitive Reinforcement Learning-Based Constrained Robust Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. Cong Li, Qingchen Liu, Zhehua Zhou, Martin Buss, Fangzhou Liu
2023	J	`jnl`	Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics. CoRR Jiayang Song, Zhehua Zhou, Jiawei Liu, Chunrong Fang, Zhan Shu, Lei Ma
2023	J	`jnl`	Towards Building AI-CPS with NVIDIA Isaac Sim: An Industrial Benchmark and Case Study for Robotics Manipulation. CoRR Zhehua Zhou, Jiayang Song, Xuan Xie, Zhan Shu, Lei Ma, Dikai Liu, Jianxiong Yin, Simon See
2022	—	`—`	Safe Reinforcement Learning Methods for Complex Dynamical Systems Based on Model Order Reduction Techniques. Zhehua Zhou
2021	J	`jnl`	Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning. CoRR Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss
2020	J	`jnl`	A General Framework to Increase Safety of Learning Algorithms for Dynamical Systems Based on Region of Attraction Estimation. IEEE Trans. Robotics Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
2020	J	`jnl`	Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems. CoRR Zhehua Zhou, Ozgur S. Oguz, Marion Leibold, Martin Buss
2020	J	`jnl`	Online single artificial neural network adaptive critic learning under additive disturbance, state constraints and input saturation. CoRR Cong Li, Fangzhou Liu, Zhehua Zhou, Martin Buss
2018	J	`jnl`	A Hybrid Framework for Understanding and Predicting Human Reaching Motions. Frontiers Robotics AI Ozgur S. Oguz, Zhehua Zhou, Dirk Wollherr
2016	—	`conf`	Hybrid Human Motion Prediction for Action Selection Within Human-Robot Collaboration. ISER Ozgur S. Oguz, Volker Gabler, Gerold Huber, Zhehua Zhou, Dirk Wollherr