Wei Pan
Wei Pan
Associate Professor, University of Manchester
Verified email at - Homepage
Cited by
Cited by
Towards accurate binary convolutional neural network
X Lin, C Zhao, W Pan
Neural Information Processing System (NeurIPS), 2017
Mixed neural network approach for temporal sleep stage classification
H Dong, A Supratak, W Pan, C Wu, PM Matthews, Y Guo
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (2 …, 2017
BayesNAS: a Bayesian approach for neural architecture search
H Zhou, M Yang, J Wang, W Pan
International Conference on Machine Learning (ICML), 2019
Data driven discovery of cyber physical systems
Y Yuan, X Tang, W Zhou, W Pan, X Li, HT Zhang, H Ding, J Goncalves
Nature Communications 10 (1), 1-9, 2019
Probabilistic recursive reasoning for multi-agent reinforcement learning
Y Wen, Y Yang, R Luo, J Wang, W Pan
International Conference on Learning Representations (ICLR), 2019
A sparse Bayesian approach to the identification of nonlinear state-space systems
W Pan, Y Yuan, J Gonçalves, GB Stan
IEEE Transactions on Automatic Control 61 (1), 182-187, 2016
Distributed finite-time average consensus in digraphs in the presence of time delays
T Charalambous, Y Yuan, T Yang, W Pan, CN Hadjicostis, M Johansson
IEEE Transactions on Control of Network Systems 2 (4), 370-381, 2015
Robust tube-based model predictive control with Koopman operators
X Zhang, W Pan, R Scattolini, S Yu, X Xu
Automatica 137, 110114, 2022
Actor-critic reinforcement learning for control with stability guarantee
M Han, L Zhang, J Wang, W Pan
IEEE Robotics and Automation Letters, 2020
Zero-sum game-based optimal secure control under actuator attacks
C Wu, X Li, W Pan, J Liu, L Wu
IEEE Transactions on Automatic Control 66 (8), 3773-3780, 2020
Finite-time fuzzy adaptive constrained tracking control for hypersonic flight vehicles with singularity-free switching
M Lv, Y Li, W Pan, S Baldi
IEEE/ASME Transactions on Mechatronics 27 (3), 1594-1605, 2021
Model-reference reinforcement learning for collision-free tracking control of autonomous surface vehicles
Q Zhang, W Pan, V Reppa
IEEE Transactions on Intelligent Transportation Systems, 2021
Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee
M Han, Y Tian, L Zhang, J Wang, W Pan
Automatica, 2021
Online fault diagnosis for nonlinear power systems
W Pan, Y Yuan, H Sandberg, J Gonçalves, GB Stan
Automatica 55, 27-36, 2015
Dropneuron: simplifying the structure of deep neural networks
W Pan, H Dong, Y Guo
arXiv preprint arXiv:1606.07326, 2016
Deep Reinforcement Learning Control Approach to Mitigating Actuator Attacks
C Wu, W Pan, R Staa, J Liu, G Sun, L Wu
Automatica 152, 110999, 2023
Learning-based multi-robot formation control with obstacle avoidance
C Bai, P Yan, W Pan, J Guo
IEEE Transactions on Intelligent Transportation Systems 23 (8), 11811-11822, 2021
Reconstruction of arbitrary biochemical reaction networks: A compressive sensing approach
W Pan, Y Yuan, J Gonçalves, GB Stan
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2334-2339, 2012
Monostability and multistability of genetic regulatory networks with different types of regulation functions
W Pan, Z Wang, H Gao, X Liu
Nonlinear Analysis: Real World Applications 11 (4), 3170-3185, 2010
Secure control for cyber-physical systems under malicious attacks
C Wu, W Yao, W Pan, G Sun, J Liu, L Wu
IEEE Transactions on Control of Network Systems, 2021
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