| Intelligent fault diagnosis by fusing domain adversarial training and maximum mean discrepancy via ensemble learning Y Li, Y Song, L Jia, S Gao, Q Li, M Qiu IEEE Transactions on Industrial Informatics 17 (4), 2833-2841, 2020 | 334 | 2020 |
| Intelligent fault diagnosis method based on full 1-D convolutional generative adversarial network Q Guo, Y Li, Y Song, D Wang, W Chen IEEE Transactions on Industrial Informatics 16 (3), 2044-2053, 2019 | 239 | 2019 |
| Retraining strategy-based domain adaption network for intelligent fault diagnosis Y Song, Y Li, L Jia, M Qiu IEEE Transactions on Industrial Informatics 16 (9), 6163-6171, 2019 | 153 | 2019 |
| Distributed attention-based temporal convolutional network for remaining useful life prediction Y Song, S Gao, Y Li, L Jia, Q Li, F Pang IEEE Internet of Things Journal 8 (12), 9594-9602, 2020 | 122 | 2020 |
| Application of multiscale learning neural network based on CNN in bearing fault diagnosis D Wang, Q Guo, Y Song, S Gao, Y Li Journal of Signal Processing Systems 91 (10), 1205-1217, 2019 | 111 | 2019 |
| Novel three-stage feature fusion method of multimodal data for bearing fault diagnosis D Wang, Y Li, L Jia, Y Song, Y Liu IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 73 | 2021 |
| A practical INS/GPS/DVL/PS integrated navigation algorithm and its application on Autonomous Underwater Vehicle X Mu, B He, S Wu, X Zhang, Y Song, T Yan Applied Ocean Research 106, 102441, 2021 | 71 | 2021 |
| Real-time object detection for AUVs using self-cascaded convolutional neural networks Y Song, B He, P Liu IEEE Journal of Oceanic Engineering 46 (1), 56-67, 2019 | 59 | 2019 |
| Data augmentation for intelligent mechanical fault diagnosis based on local shared multiple-generator GAN Q Guo, Y Li, Y Liu, S Gao, Y Song IEEE Sensors Journal 22 (10), 9598-9609, 2022 | 49 | 2022 |
| Fish recognition using convolutional neural network G Ding, Y Song, J Guo, C Feng, G Li, B He, T Yan OCEANS 2017-Anchorage, 1-4, 2017 | 47 | 2017 |
| End-to-end navigation for autonomous underwater vehicle with hybrid recurrent neural networks X Mu, B He, X Zhang, Y Song, Y Shen, C Feng Ocean Engineering 194, 106602, 2019 | 43 | 2019 |
| Gaussian derivative models and ensemble extreme learning machine for texture image classification Y Song, S Zhang, B He, Q Sha, Y Shen, T Yan, R Nian, A Lendasse Neurocomputing 277, 53-64, 2018 | 42 | 2018 |
| Side scan sonar segmentation using deep convolutional neural network Y Song, Y Zhu, G Li, C Feng, B He, T Yan OCEANS 2017-Anchorage, 1-4, 2017 | 42 | 2017 |
| Side scan sonar image segmentation and synthesis based on extreme learning machine Y Song, B He, P Liu, T Yan Applied Acoustics 146, 56-65, 2019 | 39 | 2019 |
| Segmentation of sidescan sonar imagery using markov random fields and extreme learning machine Y Song, B He, Y Zhao, G Li, Q Sha, Y Shen, T Yan, R Nian, A Lendasse IEEE Journal of Oceanic Engineering 44 (2), 502-513, 2018 | 30 | 2018 |
| IFDS: An intelligent fault diagnosis system with multisource unsupervised domain adaptation for different working conditions D Xu, Y Li, Y Song, L Jia, Y Liu IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2021 | 28 | 2021 |
| PCA and kernel-based extreme learning machine for side-scan sonar image classification M Zhu, Y Song, J Guo, C Feng, G Li, T Yan, B He 2017 IEEE Underwater Technology (UT), 1-4, 2017 | 28 | 2017 |
| Dual channel feature attention-based approach for RUL prediction considering the spatiotemporal difference of multisensor data H Gao, Y Li, Y Zhao, Y Song IEEE Sensors Journal 23 (8), 8514-8525, 2023 | 27 | 2023 |
| Segmentation of sonar images with intensity inhomogeneity based on improved MRF Y Song, P Liu Applied Acoustics 158, 107051, 2020 | 21 | 2020 |
| Attention-based bilinear feature fusion method for bearing fault diagnosis D Wang, Y Li, L Jia, Y Song, T Wen IEEE/ASME Transactions on Mechatronics 28 (3), 1695-1705, 2022 | 19 | 2022 |