Zengjie Zhang - RankMe

47 papers A 1C 1Journal 39Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Sample-efficient reinforcement learning with symmetry-guided demonstrations for robotic manipulation. Neural Comput. Appl. Amir Mehdi Soufi Enayati, Zengjie Zhang, Kashish Gupta, Homayoun Najjaran
2025	J	`jnl`	A Vehicle-in-the-Loop Simulator with AI-Powered Digital Twins for Testing Automated Driving Controllers. CoRR Zengjie Zhang, Giannis Badakis, Michalis Galanis, Adem Bavarsi, Edwin Van Hassel, Mohsen Alirezaei, Sofie Haesaert
2025	J	`jnl`	Average Communication Rate for Networked Event-Triggered Stochastic Control Systems. IEEE Trans. Control. Netw. Syst. Zengjie Zhang, Qingchen Liu, Mohammad H. Mamduhi, Sandra Hirche
2025	J	`jnl`	Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems. IEEE Trans Autom. Sci. Eng. Qingchen Liu, Zengjie Zhang, Nhan Khanh Le, Jiahu Qin, Fangzhou Liu, Sandra Hirche
2025	J	`jnl`	Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion. IEEE Trans. Intell. Veh. Zengjie Zhang, Zhiyong Sun, Sofie Haesaert
2025	J	`jnl`	Multi-view knowledge graph convolutional networks for recommendation. Appl. Soft Comput. Xiaofeng Wang, Zengjie Zhang, Guodong Shen, Shuaiming Lai, Yuntao Chen, Shuailei Zhu
2025	A	`conf`	Risk-Aware Autonomous Driving with Linear Temporal Logic Specifications. IROS Shuhao Qi, Zengjie Zhang, Zhiyong Sun, Sofie Haesaert
2024	J	`jnl`	Adaptive Observer for a Class of Systems With Switched Unknown Parameters Using DREM. IEEE Trans. Autom. Control. Tong Liu, Zengjie Zhang, Fangzhou Liu, Martin Buss
2024	J	`jnl`	Avoiding Deadlocks Is Not Enough: Analysis and Resolution of Blocked Airplanes. CoRR Shuhao Qi, Zengjie Zhang, Zhiyong Sun, Sofie Haesaert
2024	J	`jnl`	Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation. IEEE Trans. Artif. Intell. Amir M. Soufi Enayati, Ram Dershan, Zengjie Zhang, Dean Richert, Homayoun Najjaran
2024	J	`jnl`	Intention-Aware Control Based on Belief-Space Specifications and Stochastic Expansion. CoRR Zengjie Zhang, Zhiyong Sun, Sofie Haesaert
2024	J	`jnl`	Risk-Aware Autonomous Driving for Linear Temporal Logic Specifications. CoRR Shuhao Qi, Zengjie Zhang, Zhiyong Sun, Sofie Haesaert
2024	—	`conf`	Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics. ADHS Maico Hendrikus Wilhelmus Engelaar, Zengjie Zhang, Mircea Lazar, Sofie Haesaert
2024	J	`jnl`	Risk-Aware MPC for Stochastic Systems with Runtime Temporal Logics. CoRR Maico Hendrikus Wilhelmus Engelaar, Zengjie Zhang, Mircea Lazar, Sofie Haesaert
2024	—	`conf`	Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications. CDC Maico Hendrikus Wilhelmus Engelaar, Zengjie Zhang, Eleftherios E. Vlahakis, Dimos V. Dimarogonas, Mircea Lazar, Sofie Haesaert
2024	J	`jnl`	Risk-Aware Real-Time Task Allocation for Stochastic Multi-Agent Systems under STL Specifications. CoRR Maico Hendrikus Wilhelmus Engelaar, Zengjie Zhang, Eleftherios E. Vlahakis, Mircea Lazar, Sofie Haesaert
2024	J	`jnl`	Self-supervised graph autoencoder with redundancy reduction for community detection. Neurocomputing Xiaofeng Wang, Guodong Shen, Zengjie Zhang, Shuaiming Lai, Shuailei Zhu, Yuntao Chen, Daying Quan
2024	J	`jnl`	SymAware: A Software Development Framework for Trustworthy Multi-Agent Systems with Situational Awareness. CoRR Ernesto Casablanca, Zengjie Zhang, Gregorio Marchesini, Sofie Haesaert, Dimos V. Dimarogonas, Sadegh Soudjani
2024	J	`jnl`	Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning. IEEE Trans. Robotics Zengjie Zhang, Jayden Hong, Amir M. Soufi Enayati, Homayoun Najjaran
2024	J	`jnl`	VernaCopter: Disambiguated Natural-Language-Driven Robot via Formal Specifications. CoRR Teun van de Laar, Zengjie Zhang, Shuhao Qi, Sofie Haesaert, Zhiyong Sun
2023	J	`jnl`	A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning. CoRR Zengjie Zhang, Fangzhou Liu, Tong Liu, Jianbin Qiu, Martin Buss
2023	J	`jnl`	A Persistent-Excitation-Free Method for System Disturbance Estimation Using Concurrent Learning. IEEE Trans. Circuits Syst. I Regul. Pap. Zengjie Zhang, Fangzhou Liu, Tong Liu, Jianbin Qiu, Martin Buss
2023	—	`conf`	Automated Formation Control Synthesis from Temporal Logic Specifications. CDC Shuhao Qi, Zengjie Zhang, Sofie Haesaert, Zhiyong Sun
2023	J	`jnl`	Automated Formation Control Synthesis from Temporal Logic Specifications. CoRR Shuhao Qi, Zengjie Zhang, Sofie Haesaert, Zhiyong Sun
2023	J	`jnl`	Distributed Coverage Control of Constrained Constant-Speed Unicycle Multi-Agent Systems. CoRR Qingchen Liu, Zengjie Zhang, Nhan Khanh Le, Jiahu Qin, Fangzhou Liu, Sandra Hirche
2023	J	`jnl`	Disturbance Estimation for High-Degree-of-Freedom Euler-Lagrangian Systems Using Sliding Mode Observer without Matching Conditions. CoRR Zengjie Zhang, Dirk Wollherr
2023	J	`jnl`	Exploiting Intrinsic Stochasticity of Real-Time Simulation to Facilitate Robust Reinforcement Learning for Robot Manipulation. CoRR Ram Dershan, Amir M. Soufi Enayati, Zengjie Zhang, Dean Richert, Homayoun Najjaran
2023	J	`jnl`	Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation. CoRR Amir M. Soufi Enayati, Zengjie Zhang, Kashish Gupta, Homayoun Najjaran
2023	J	`jnl`	Human-Robot Skill Transfer with Enhanced Compliance via Dynamic Movement Primitives. CoRR Jayden Hong, Zengjie Zhang, Amir M. Soufi Enayati, Homayoun Najjaran
2023	—	`conf`	Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning. ITSC Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, Martin Buss
2023	J	`jnl`	Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning. CoRR Ni Dang, Tao Shi, Zengjie Zhang, Wanxin Jin, Marion Leibold, Martin Buss
2023	J	`jnl`	Incorporating Target Vehicle Trajectories Predicted by Deep Learning Into Model Predictive Controlled Vehicles. CoRR Ni Dang, Zengjie Zhang, Jizheng Liu, Marion Leibold, Martin Buss
2023	—	`conf`	Modularized Control Synthesis for Complex Signal Temporal Logic Specifications. CDC Zengjie Zhang, Sofie Haesaert
2023	J	`jnl`	Modularized Control Synthesis for Complex Signal Temporal Logic Specifications. CoRR Zengjie Zhang, Sofie Haesaert
2023	C	`conf`	Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving. IECON Lin-Chi Wu, Zengjie Zhang, Sofie Haesaert, Zhiqiang Ma, Zhiyong Sun
2023	J	`jnl`	Risk-Aware Reward Shaping of Reinforcement Learning Agents for Autonomous Driving. CoRR Lin-Chi Wu, Zengjie Zhang, Sofie Haesaert, Zhiqiang Ma, Zhiyong Sun
2023	J	`jnl`	Safe Feedback Motion Planning in Unknown Environments: An Instantaneous Local Control Barrier Function Approach. J. Intell. Robotic Syst. Cong Li, Zengjie Zhang, Ahmed Nesrin, Qingchen Liu, Fangzhou Liu, Martin Buss
2023	J	`jnl`	Simultaneous Recursive Identification of Parameters and Switching Manifolds Identification of Discrete-Time Switched Linear Systems. CoRR Zengjie Zhang, Yingwei Du, Tong Liu, Fangzhou Liu, Martin Buss
2023	J	`jnl`	Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning. CoRR Zengjie Zhang, Jayden Hong, Amir M. Soufi Enayati, Homayoun Najjaran
2022	J	`jnl`	A High-Fidelity Simulation Platform for Industrial Manufacturing by Incorporating Robotic Dynamics Into an Industrial Simulation Tool. IEEE Robotics Autom. Lett. Zengjie Zhang, Ram Dershan, Amir M. Soufi Enayati, Marjan Yaghoubi, Dean Richert, Homayoun Najjaran
2022	J	`jnl`	A methodical interpretation of adaptive robotics: Study and reformulation. Neurocomputing Amir M. Soufi Enayati, Zengjie Zhang, Homayoun Najjaran
2022	J	`jnl`	Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM. CoRR Tong Liu, Zengjie Zhang, Fangzhou Liu, Martin Buss
2021	J	`jnl`	An Online Robot Collision Detection and Identification Scheme by Supervised Learning and Bayesian Decision Theory. IEEE Trans Autom. Sci. Eng. Zengjie Zhang, Kun Qian, Björn W. Schuller, Dirk Wollherr
2021	J	`jnl`	Instantaneous Local Control Barrier Function: An Online Learning Approach for Collision Avoidance. CoRR Cong Li, Zengjie Zhang, Ahmed Nesrin, Qingchen Liu, Fangzhou Liu, Martin Buss
2021	J	`jnl`	Optimal filtering and control of network information epidemics. Autom. Fangzhou Liu, Zengjie Zhang, Martin Buss
2020	J	`jnl`	Integral Sliding-Mode Observer-Based Disturbance Estimation for Euler-Lagrangian Systems. IEEE Trans. Control. Syst. Technol. Zengjie Zhang, Marion Leibold, Dirk Wollherr
2017	—	`conf`	Protective control for robot manipulator by sliding mode based disturbance reconstruction approach. AIM Yiyong Sun, Zengjie Zhang, Marion Leibold, Rameez Hayat, Dirk Wollherr, Martin Buss