Wei Pan

According to our database, Wei Pan authored at least 77 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles.

Xinglong Zhang, Yaoqian Peng, Biao Luo, Wei Pan, Xin Xu, Haibin Xie

IEEE Trans. Ind. Electron., October, 2024

Unwieldy Object Delivery With Nonholonomic Mobile Base: A Free Pushing Approach.

Yujie Tang, Martijn Wisse, Wei Pan

IEEE Robotics Autom. Lett., October, 2024

Data-Enabled Tire-Road Friction Estimation Based on Explainable Dynamics Mechanism Under Straight Stationary Driving Maneuvers.

Liang Chen, Zhaobo Qin, Manjiang Hu, Yougang Bian, Xiaoyan Peng, Wei Pan

IEEE Trans. Intell. Transp. Syst., June, 2024

DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention.

Zheng Zhang, Dengyu Zhang, Qingrui Zhang, Wei Pan, Tianjiang Hu

IEEE Robotics Autom. Lett., June, 2024

Learning-Based Multi-UAV Flocking Control With Limited Visual Field and Instinctive Repulsion.

Chengchao Bai, Peng Yan, Haiyin Piao, Wei Pan, Jifeng Guo

IEEE Trans. Cybern., January, 2024

Deep Koopman learning of nonlinear time-varying systems.

Wenjian Hao, Bowen Huang, Wei Pan, Di Wu, Shaoshuai Mou

Autom., January, 2024

Cross-Utterance Conditioned VAE for Speech Generation.

Yang Li, Cheng Yu, Guangzhi Sun, Weiqin Zu, Zheng Tian, Ying Wen, Wei Pan, Chao Zhang, Jun Wang, Yang Yang, Fanglei Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Tackling Cooperative Incompatibility for Zero-Shot Human-AI Coordination.

Yang Li, Shao Zhang, Jichen Sun, Wenhao Zhang, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

J. Artif. Intell. Res., 2024

Enhancing healthcare decision support through explainable AI models for risk prediction.

Shuai Niu, Qing Yin, Jing Ma, Yunya Song, Yida Xu, Liang Bai, Wei Pan, Xian Yang

Decis. Support Syst., 2024

Modular Adaptive Aerial Manipulation under Unknown Dynamic Coupling Forces.

Rishabh Dev Yadav, Swati Dantu, Wei Pan, Sihao Sun, Spandan Roy, Simone Baldi

CoRR, 2024

DroneDiffusion: Robust Quadrotor Dynamics Learning with Diffusion Models.

Avirup Das, Rishabh Dev Yadav, Sihao Sun, Mingfei Sun, Samuel Kaski, Wei Pan

CoRR, 2024

HOLA-Drone: Hypergraphic Open-ended Learning for Zero-Shot Multi-Drone Cooperative Pursuit.

Yang Li, Dengyu Zhang, Junfan Chen, Ying Wen, Qingrui Zhang, Shaoshuai Mou, Wei Pan

CoRR, 2024

Computation-Aware Learning for Stable Control with Gaussian Process.

Wenhan Cao, Alexandre Capone, Rishabh Yadav, Sandra Hirche, Wei Pan

CoRR, 2024

TTA-Nav: Test-time Adaptive Reconstruction for Point-Goal Navigation under Visual Corruptions.

Maytus Piriyajitakonkij, Mingfei Sun, Mengmi Zhang, Wei Pan

CoRR, 2024

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control.

Wenhan Cao, Wei Pan

CoRR, 2024

Aligning Individual and Collective Objectives in Multi-Agent Cooperation.

Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan

CoRR, 2024

Analyzing the Impact of Computation in Adaptive Dynamic Programming for Stochastic LQR Problem.

Wenhan Cao, Alexandre Capone, Sandra Hirche, Wei Pan

CoRR, 2024

Language and Sketching: An LLM-driven Interactive Multimodal Multitask Robot Navigation Framework.

Weiqin Zu, Wenbin Song, Ruiqing Chen, Ze Guo, Fanglei Sun, Zheng Tian, Wei Pan, Jun Wang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open Ad Hoc Teamwork with Cooperative Game Theory.

Jianhong Wang, Yang Li, Yuan Zhang, Wei Pan, Samuel Kaski

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning.

Tenglong Liu, Yang Li, Yixing Lan, Hao Gao, Wei Pan, Xin Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unwieldy Object Delivery With Nonholonomic Mobile Base: A Stable Pushing Approach.

Yujie Tang, Hai Zhu, Susan Potters, Martijn Wisse, Wei Pan

IEEE Robotics Autom. Lett., November, 2023

A Secure Robot Learning Framework for Cyber Attack Scheduling and Countermeasure.

Chengwei Wu, Weiran Yao, Wensheng Luo, Wei Pan, Guanghui Sun, Hui Xie, Ligang Wu

IEEE Trans. Robotics, October, 2023

Deep reinforcement learning control approach to mitigating actuator attacks.

Chengwei Wu, Wei Pan, Rick Staa, Jianxing Liu, Guanghui Sun, Ligang Wu

Autom., June, 2023

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games.

Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang

Trans. Mach. Learn. Res., 2023

NiSNN-A: Non-iterative Spiking Neural Networks with Attention with Application to Motor Imagery EEG Classification.

Chuhan Zhang, Wei Pan, Cosimo Della Santina

CoRR, 2023

SYNLOCO: Synthesizing Central Pattern Generator and Reinforcement Learning for Quadruped Locomotion.

Xinyu Zhang, Zhiyuan Xiao, Qingrui Zhang, Wei Pan

CoRR, 2023

Maintaining Visibility of Dynamic Objects in Cluttered Environments Using Mobile Manipulators and Vector Field Inequalities.

Fatih Dursun, Bruno Vilhena Adorno, Simon Watson, Wei Pan

IROS, 2023

Sim-and-Real Reinforcement Learning for Manipulation: A Consensus-based Approach.

Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquín Carrasco

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions.

Desong Du, Shaohang Han, Naiming Qi, Haitham Bou-Ammar, Jun Wang, Wei Pan

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Cooperative Open-ended Learning Framework for Zero-Shot Coordination.

Yang Li, Shao Zhang, Jichen Sun, Yali Du, Ying Wen, Xinbing Wang, Wei Pan

Proceedings of the International Conference on Machine Learning, 2023

2022

Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles.

Qingrui Zhang, Wei Pan, Vasso Reppa

IEEE Trans. Intell. Transp. Syst., 2022

Learning-Based Multi-Robot Formation Control With Obstacle Avoidance.

Chengchao Bai, Peng Yan, Wei Pan, Jifeng Guo

IEEE Trans. Intell. Transp. Syst., 2022

Secure Control for Cyber-Physical Systems Under Malicious Attacks.

Chengwei Wu, Weiran Yao, Wei Pan, Guanghui Sun, Jianxing Liu, Ligang Wu

IEEE Trans. Control. Netw. Syst., 2022

Bayesian Learning to Discover Mathematical Operations in Governing Equations of Dynamic Systems.

Hongpeng Zhou, Wei Pan

CoRR, 2022

Sparse Bayesian deep learning for dynamic system identification.

Hongpeng Zhou, Chahine Ibrahim, Wei-Xing Zheng, Wei Pan

Autom., 2022

Robust tube-based model predictive control with Koopman operators.

Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu

Autom., 2022

Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots.

Xinglong Zhang, Yaoqian Peng, Wei Pan, Xin Xu, Haibin Xie

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Zero-Sum Game-Based Optimal Secure Control Under Actuator Attacks.

Chengwei Wu, Xiaolei Li, Wei Pan, Jianxing Liu, Ligang Wu

IEEE Trans. Autom. Control., 2021

Learning Tracking Control for Cyber-Physical Systems.

Chengwei Wu, Wei Pan, Guanghui Sun, Jianxing Liu, Ligang Wu

IEEE Internet Things J., 2021

Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles.

Xinglong Zhang, Yaoqian Peng, Biao Luo, Wei Pan, Xin Xu, Haibin Xie

CoRR, 2021

Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version.

Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu

CoRR, 2021

Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning.

Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong

CoRR, 2021

Dynamic network reconstruction from heterogeneous datasets.

Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves

Autom., 2021

Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee.

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

Autom., 2021

Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation.

Yujie Tang, Liang Hu, Qingrui Zhang, Wei Pan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee.

Liang Hu, Yujie Tang, Zhipeng Zhou, Wei Pan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Actor-Critic Reinforcement Learning for Control With Stability Guarantee.

Minghao Han, Lixian Zhang, Jun Wang, Wei Pan

IEEE Robotics Autom. Lett., 2020

Asynchronous observer design for switched linear systems: a tube-based approach.

Minghao Han, Ruixian Zhang, Lixian Zhang, Ye Zhao, Wei Pan

IEEE CAA J. Autom. Sinica, 2020

Lyapunov-Based Reinforcement Learning State Estimator.

Liang Hu, Chengwei Wu, Wei Pan

CoRR, 2020

Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles with Uncertainties.

Qingrui Zhang, Wei Pan, Vasso Reppa

CoRR, 2020

Towards Lossless Binary Convolutional Neural Networks Using Piecewise Approximation.

Baozhou Zhu, Zaid Al-Ars, Wei Pan

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Lyapunov-Based Reinforcement Learning for Decentralized Multi-agent Control.

Qingrui Zhang, Hao Dong, Wei Pan

Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians.

Bruno Ferreira de Brito, Hai Zhu, Wei Pan, Javier Alonso-Mora

Proceedings of the 4th Conference on Robot Learning, 2020

Model-Reference Reinforcement Learning Control of Autonomous Surface Vehicles.

Qingrui Zhang, Wei Pan, Vasso Reppa

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

A Sparse Bayesian Deep Learning Approach for Identification of Cascaded Tanks Benchmark.

Hongpeng Zhou, Chahine Ibrahim, Wei Pan

CoRR, 2019

H_∞ Model-free Reinforcement Learning with Robust Stability Guarantee.

Minghao Han, Yuan Tian, Lixian Zhang, Jun Wang, Wei Pan

CoRR, 2019

BayesNAS: A Bayesian Approach for Neural Architecture Search.

Hongpeng Zhou, Minghao Yang, Jun Wang, Wei Pan

Proceedings of the 36th International Conference on Machine Learning, 2019

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning.

Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Identification of Nonlinear State-Space Systems From Heterogeneous Datasets.

Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan

IEEE Trans. Control. Netw. Syst., 2018

Data-driven Discovery of Cyber-Physical Systems.

Ye Yuan, Xiuchuan Tang, Wei Pan, Xiuting Li, Wei Zhou, Hai-Tao Zhang, Han Ding, Jorge M. Gonçalves

CoRR, 2018

2017

Identification of nonlinear sparse networks using sparse Bayesian learning.

Junyang Jin, Ye Yuan, Wei Pan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

A Sparse Bayesian Approach to the Identification of Nonlinear State-Space Systems.

Wei Pan, Ye Yuan, Jorge M. Gonçalves, Guy-Bart Stan

IEEE Trans. Autom. Control., 2016

Linear Dynamic Network Reconstruction from Heterogeneous Datasets.

Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves

CoRR, 2016

DropNeuron: Simplifying the Structure of Deep Neural Networks.

Wei Pan, Hao Dong, Yike Guo

CoRR, 2016

On Identification of Sparse Multivariable ARX Model: A Sparse Bayesian Learning Approach.

Junyang Jin, Ye Yuan, Wei Pan, Duong L. T. Pham, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves

CoRR, 2016

On Identification of Dynamical Structure Functions: A Sparse Bayesian Learning Approach.

Junyang Jin, Wei Pan, Duong L. T. Pham, Ye Yuan, Claire J. Tomlin, Alex Webb, Jorge M. Gonçalves

CoRR, 2016

Mixed Neural Network Approach for Temporal Sleep Stage Classification.

Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo

CoRR, 2016

Parameter estimation for gene regulatory networks: A two-stage MCMC Bayesian approach.

Niannan Xue, Wei Pan, Yike Guo

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Online model selection for synthetic gene networks.

Wei Pan, Filippo Menolascina, Guy-Bart Stan

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Distributed Finite-Time Average Consensus in Digraphs in the Presence of Time Delays.

Themistoklis Charalambous, Ye Yuan, Tao Yang, Wei Pan, Christoforos N. Hadjicostis, Mikael Johansson

IEEE Trans. Control. Netw. Syst., 2015

Online fault diagnosis for nonlinear power systems.

Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan

Autom., 2015

Identifying biochemical reaction networks from heterogeneous datasets.

Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014

Distributed Reconstruction of Nonlinear Networks: An ADMM Approach.

Wei Pan, Aivar Sootla, Guy-Bart Stan

CoRR, 2014

2013

Real-time fault diagnosis for large-scale nonlinear power networks.

Wei Pan, Ye Yuan, Henrik Sandberg, Jorge M. Gonçalves, Guy-Bart Stan

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Decentralised minimum-time average consensus in digraphs.

Themistoklis Charalambous, Ye Yuan, Tao Yang, Wei Pan, Christoforos N. Hadjicostis, Michael Johansson

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Reconstruction of Arbitrary Biochemical Reaction Networks: A Compressive Sensing Approach

Wei Pan, Ye Yuan, Guy-Bart Stan

CoRR, 2012

Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach.

Wei Pan, Ye Yuan, Jorge M. Gonçalves, Guy-Bart Stan

Proceedings of the 51th IEEE Conference on Decision and Control, 2012