| A multi-perspective architecture for high-speed train fault diagnosis based on variational mode decomposition and enhanced multi-scale structure Y Wu, W Jin, J Ren, Z Sun Applied Intelligence 49, 3923-3937, 2019 | 31 | 2019 |
| Detecting unexpected faults of high-speed train bogie based on Bayesian deep learning Y Wu, W Jin, Y Li, Z Sun, J Ren IEEE Transactions on Vehicular Technology 70 (1), 158-172, 2020 | 27 | 2020 |
| Network energy-efficiency maximization in UAV-enabled air–ground-integrated deployment Y Li, S Xu, Y Wu, D Li IEEE Internet of Things Journal 9 (15), 13209-13222, 2022 | 22 | 2022 |
| Automatic modulation recognition of radar signals based on manhattan distance-based features Y Huang, W Jin, B Li, P Ge, Y Wu IEEE Access 7, 41193-41204, 2019 | 17 | 2019 |
| Fault diagnosis of high‐speed train bogie based on synchrony group convolutions Y Wu, W Jin, J Ren, Z Sun Shock and Vibration 2019 (1), 7230194, 2019 | 15 | 2019 |
| A novel method for simultaneous-fault diagnosis based on between-class learning Y Wu, W Jin, Y Li, D Wang Measurement 172, 108839, 2021 | 12 | 2021 |
| Performance Degradation Estimation of High‐Speed Train Bogie Based on 1D‐ConvLSTM Time‐Distributed Convolutional Neural Network J Ren, W Jin, L Li, Y Wu, Z Sun Computational Intelligence and Neuroscience 2022 (1), 5030175, 2022 | 9 | 2022 |
| Improving global adversarial robustness generalization with adversarially trained GAN D Wang, W Jin, Y Wu, A Khan arXiv preprint arXiv:2103.04513, 2021 | 8 | 2021 |
| A cnn-based structure for performance degradation estimation of high-speed train lateral damper J Ren, W Jin, Y Wu IEEE Access 8, 198139-198151, 2020 | 8 | 2020 |
| CNN-based fault diagnosis of high-speed train with imbalance data: A comparison study Y Wu, W Jin 2019 Chinese Control Conference (CCC), 5053-5058, 2019 | 4 | 2019 |
| Fault diagnosis of high speed train bogie based on multi-domain fusion CNN Y Wu, W Jin, Y Huang Journal of System Simulation 30 (11), 4492-4497, 2019 | 4 | 2019 |
| A grouping-attention convolutional neural network for performance degradation estimation of high-speed train lateral damper J Ren, W Jin, Y Wu, Z Sun Applied Intelligence 53 (1), 658-682, 2023 | 3 | 2023 |
| A fault diagnosis scheme for high-speed train bogie based on depth-wise convolution Y Wu, W Jin 2018 IEEE International Conference on Progress in Informatics and Computing …, 2018 | 3 | 2018 |
| Generating adversarial examples with image-to-perturbation network D Wang, W Jin, Y Wu 2020 39th Chinese Control Conference (CCC), 7055-7060, 2020 | 1 | 2020 |
| Fault Identification of High-Speed Train Bogie Based on Siamese Convolutional Neural Network Y Wu, W Jin, J Ren Journal of System Simulation 31 (11), 2562-2568, 2019 | 1 | 2019 |
| Automatic Detection and Evaluation of Hard Exudates Based on Deep Bayesian Learning Y Wu, W Jin, Z Cai 2018 37th Chinese Control Conference (CCC), 9226-9231, 2018 | 1 | 2018 |
| A Novel Control Method to Improve Current Regulation and Harmonics in Navigation Dimming Power Supply Z Sun, F Wu, W Jin, J Wang, Y Wu, X Wu, Z Wei IEEE Access 7, 186268-186283, 2019 | | 2019 |
