| A new convolutional neural network-based data-driven fault diagnosis method L Wen, X Li, L Gao, Y Zhang IEEE Transactions on Industrial Electronics 65 (7), 5990-5998, 2017 | 1820 | 2017 |
| A new deep transfer learning based on sparse auto-encoder for fault diagnosis L Wen, L Gao, X Li IEEE Transactions on systems, man, and cybernetics: systems 49 (1), 136-144, 2017 | 965 | 2017 |
| A transfer convolutional neural network for fault diagnosis based on ResNet-50 L Wen, X Li, L Gao Neural Computing and Applications 32 (10), 6111-6124, 2020 | 553 | 2020 |
| Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning Y Zhang, X Li, L Gao, L Wang, L Wen Journal of manufacturing systems 48, 34-50, 2018 | 184 | 2018 |
| A new transfer learning based on VGG-19 network for fault diagnosis L Wen, X Li, X Li, L Gao 2019 IEEE 23rd international conference on computer supported cooperative …, 2019 | 152 | 2019 |
| A new two-level hierarchical diagnosis network based on convolutional neural network L Wen, X Li, L Gao IEEE Transactions on Instrumentation and Measurement 69 (2), 330-338, 2019 | 116 | 2019 |
| A new reinforcement learning based learning rate scheduler for convolutional neural network in fault classification L Wen, X Li, L Gao IEEE Transactions on Industrial Electronics 68 (12), 12890-12900, 2020 | 100 | 2020 |
| An effective multiobjective algorithm for energy-efficient scheduling in a real-life welding shop X Li, C Lu, L Gao, S Xiao, L Wen IEEE transactions on industrial informatics 14 (12), 5400-5409, 2018 | 99 | 2018 |
| A new ensemble residual convolutional neural network for remaining useful life estimation L Wen, Y Dong, L Gao Math. Biosci. Eng 16 (2), 862-880, 2019 | 84 | 2019 |
| Convolutional neural network with automatic learning rate scheduler for fault classification L Wen, L Gao, X Li, B Zeng IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 59 | 2021 |
| Particle swarm optimization hybridized with genetic algorithm for uncertain integrated process planning and scheduling with interval processing time X Li, L Gao, W Wang, C Wang, L Wen Computers & Industrial Engineering 135, 1036-1046, 2019 | 56 | 2019 |
| Industrial image anomaly localization based on Gaussian clustering of pretrained feature Q Wan, L Gao, X Li, L Wen IEEE Transactions on Industrial Electronics 69 (6), 6182-6192, 2021 | 47 | 2021 |
| A new ensemble convolutional neural network with diversity regularization for fault diagnosis L Wen, X Xie, X Li, L Gao Journal of Manufacturing Systems 62, 964-971, 2022 | 45 | 2022 |
| A new snapshot ensemble convolutional neural network for fault diagnosis L Wen, L Gao, X Li Ieee Access 7, 32037-32047, 2019 | 45 | 2019 |
| Unsupervised image anomaly detection and segmentation based on pretrained feature mapping Q Wan, L Gao, X Li, L Wen IEEE Transactions on Industrial Informatics 19 (3), 2330-2339, 2022 | 42 | 2022 |
| Remaining useful life estimation based on a new convolutional and recurrent neural network X Zhang, Y Dong, L Wen, F Lu, W Li 2019 ieee 15th international conference on automation science and …, 2019 | 42 | 2019 |
| A new cycle-consistent adversarial networks with attention mechanism for surface defect classification with small samples L Wen, Y Wang, X Li IEEE Transactions on Industrial Informatics 18 (12), 8988-8998, 2022 | 40 | 2022 |
| A new automatic machine learning based hyperparameter optimization for workpiece quality prediction L Wen, X Ye, L Gao Measurement and Control 53 (7-8), 1088-1098, 2020 | 39 | 2020 |
| Unsupervised fault diagnosis method based on iterative multi‐manifold spectral clustering W Song, L Wen, L Gao, X Li IET Collaborative Intelligent Manufacturing 1 (2), 48-55, 2019 | 26 | 2019 |
| An effective hybrid algorithm for permutation flow shop scheduling problem with setup time K Peng, L Wen, R Li, L Gao, X Li Procedia CIRP 72, 1288-1292, 2018 | 26 | 2018 |
Liang GAOProfessor of Industrial Engineering, Huazhong University of Science and Technology在 mail.hust.edu.cn 的电子邮件经过验证
