| Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network G Ma, Y Zhang, C Cheng, B Zhou, P Hu, Y Yuan Applied Energy 253, 113626, 2019 | 314 | 2019 |
| Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data C Cheng, B Zhou, G Ma, D Wu, Y Yuan Neurocomputing 409, 35-45, 2020 | 265 | 2020 |
| A GAN-based anomaly detection approach for imbalanced industrial time series W Jiang, Y Hong, B Zhou, X He, C Cheng IEEe Access 7, 143608-143619, 2019 | 188 | 2019 |
| Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study H Zhu, C Cheng, H Yin, X Li, P Zuo, J Ding, F Lin, J Wang, B Zhou, Y Li, ... The Lancet Digital Health 2 (7), e348-e357, 2020 | 174 | 2020 |
| A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method S Zhao, Y Zhang, S Wang, B Zhou, C Cheng Measurement 146, 279-288, 2019 | 154 | 2019 |
| A general end-to-end diagnosis framework for manufacturing systems Y Yuan, G Ma, C Cheng, B Zhou, H Zhao, HT Zhang, H Ding National Science Review 7 (2), 418-429, 2020 | 141 | 2020 |
| Remaining useful life prediction of lithium-ion battery based on attention mechanism with positional encoding B Zhou, C Cheng, G Ma, Y Zhang IOP Conference Series: Materials Science and Engineering 895 (1), 012006, 2020 | 34 | 2020 |
| pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization. B Zhou, J Liu, W Sun, R Chen, CJ Tomlin, Y Yuan IJCAI, 3258-3266, 2020 | 29 | 2020 |
| A novel gan-based fault diagnosis approach for imbalanced industrial time series W Jiang, C Cheng, B Zhou, G Ma, Y Yuan arXiv preprint arXiv:1904.00575, 2019 | 26 | 2019 |
| Intelligent fault diagnosis with noisy labels via semisupervised learning on industrial time series C Cheng, X Liu, B Zhou, Y Yuan IEEE Transactions on Industrial Informatics 19 (6), 7724-7732, 2023 | 19 | 2023 |
| Artificial intelligent diagnosis and monitoring in manufacturing Y Yuan, G Ma, C Cheng, B Zhou, H Zhao, HT Zhang, H Ding arXiv preprint arXiv:1901.02057, 2018 | 14 | 2018 |
| State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model P Hu, G Ma, Y Zhang, C Cheng, B Zhou, Y Yuan 2020 European Control Conference (ECC), 602-607, 2020 | 13 | 2020 |
| HyperMatch: Noise-tolerant semi-supervised learning via relaxed contrastive constraint B Zhou, J Lu, K Liu, Y Xu, Z Cheng, Y Niu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Gtinet: Global topology-aware interactions for unsupervised point cloud registration Y Jiang, B Zhou, X Liu, Q Li, C Cheng IEEE Transactions on Circuits and Systems for Video Technology, 2024 | 8 | 2024 |
| PLReMix: Combating noisy labels with pseudo-label relaxed contrastive representation learning X Liu, B Zhou, Z Yue, C Cheng arXiv preprint arXiv:2402.17589, 2024 | 2 | 2024 |
| Automatic multi-label ECG diagnosis of impulse or conduction abnormalities in patients with deep learning algorithm: a cohort study H Zhu, C Cheng, H Yin, X Li, P Zuo, J Ding, F Lin, J Wang, B Zhou, Y Li, ... | 2 | 2019 |
| 2nd Place Solution SSLAD Track 1-O2O Semi-Supervised Framwork B Zhou, D Gu, B Zhang, S Tang, Y Xu, Z Cheng, Y Niu | | |
| PowerSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization J Liu, B Zhou, W Sun, R Chen, CJ Tomlin, Y Yuan | | |
Guijun MaHuazhong University of Science and TechnologyVerifisert e-postadresse på hust.edu.cn