| Towards accurate binary convolutional neural network X Lin, C Zhao, W Pan Neural Information Processing System (NeurIPS), 2017 | 632 | 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 | 224 | 2017 |
| BayesNAS: a Bayesian approach for neural architecture search H Zhou, M Yang, J Wang, W Pan International Conference on Machine Learning (ICML), 2019 | 177 | 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 | 127 | 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, 2015 | 122 | 2015 |
| 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 | 121 | 2019 |
| 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 | 97 | 2015 |
| Actor-critic reinforcement learning for control with stability guarantee M Han, L Zhang, J Wang, W Pan IEEE Robotics and Automation Letters, 2020 | 50 | 2020 |
| Online fault diagnosis for nonlinear power systems W Pan, Y Yuan, H Sandberg, J Gonçalves, GB Stan Automatica 55, 27-36, 2015 | 44 | 2015 |
| 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 | 39 | 2010 |
| 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 | 37 | 2012 |
| 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 | 36 | 2021 |
| 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 | 34 | 2020 |
| 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 | 33 | 2021 |
| Dropneuron: simplifying the structure of deep neural networks W Pan, H Dong, Y Guo arXiv preprint arXiv:1606.07326, 2016 | 32 | 2016 |
| Robust tube-based model predictive control with Koopman operators X Zhang, W Pan, R Scattolini, S Yu, X Xu Automatica 137, 110114, 2022 | 29 | 2022 |
| 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 | 29 | 2021 |
| Robust H∞ feedback control for uncertain stochastic delayed genetic regulatory networks with additive and multiplicative noise W Pan, Z Wang, H Gao, Y Li, M Du International Journal of Robust and Nonlinear Control 20 (18), 2093-2107, 2010 | 28 | 2010 |
| On multistability of delayed genetic regulatory networks with multivariable regulation functions W Pan, Z Wang, H Gao, Y Li, M Du Mathematical biosciences 228 (1), 100-109, 2010 | 28 | 2010 |
| H∞ model-free reinforcement learning with robust stability guarantee M Han, Y Tian, L Zhang, J Wang, W Pan NeurIPS 2019 Workshop on Robot Learning: Control and Interaction in the Real …, 2019 | 27* | 2019 |
Ye YuanHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证
