| Towards accurate binary convolutional neural network X Lin, C Zhao, W Pan Neural Information Processing System (NeurIPS), 2017 | 834 | 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 | 313 | 2017 |
| BayesNAS: a Bayesian approach for neural architecture search H Zhou, M Yang, J Wang, W Pan International Conference on Machine Learning (ICML), 2019 | 229 | 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 | 215 | 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 | 186 | 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 | 154 | 2016 |
| Robust tube-based model predictive control with Koopman operators X Zhang, W Pan, R Scattolini, S Yu, X Xu Automatica 137, 110114, 2022 | 141 | 2022 |
| Actor-critic reinforcement learning for control with stability guarantee M Han, L Zhang, J Wang, W Pan IEEE Robotics and Automation Letters, 2020 | 122 | 2020 |
| 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 | 119 | 2015 |
| 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 | 102 | 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 | 86 | 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 | 80 | 2021 |
| 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 | 68 | 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 | 66 | 2021 |
| 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 | 64 | 2023 |
| Dropneuron: simplifying the structure of deep neural networks W Pan, H Dong, Y Guo arXiv preprint arXiv:1606.07326, 2016 | 50 | 2016 |
| Online fault diagnosis for nonlinear power systems W Pan, Y Yuan, H Sandberg, J Gonçalves, GB Stan Automatica 55, 27-36, 2015 | 49 | 2015 |
| 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 | 46 | 2021 |
| Social-VRNN: one-shot multi-modal trajectory prediction for interacting pedestrians B Brito, H Zhu, W Pan, J Alonso-Mora Conference on Robot Learning (CoRL), 2020 | 40 | 2020 |
| 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 | 40 | 2012 |
Ye YuanHuazhong University of Science and Technology在 hust.edu.cn 的电子邮件经过验证