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2020 – today
- 2024
[i4]Xiaoyu Liu, Beitong Zhou, Cheng Cheng:
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning. CoRR abs/2402.17589 (2024)- 2023
- [j3]Cheng Cheng
, Xiaoyu Liu, Beitong Zhou, Ye Yuan:
Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series. IEEE Trans. Ind. Informatics 19(6): 7724-7732 (2023) - [c3]Beitong Zhou, Jing Lu, Kerui Liu, Yunlu Xu, Zhanzhan Cheng, Yi Niu:
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint. CVPR 2023: 24017-24026 - 2020
- [j2]Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan:
Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data. Neurocomputing 409: 35-45 (2020) - [c2]Pengchao Hu, Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan:
State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model. ECC 2020: 602-607 - [c1]Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan:
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization. IJCAI 2020: 3258-3266
2010 – 2019
- 2019
- [j1]Wenqian Jiang, Yang Hong, Beitong Zhou, Xin He, Cheng Cheng:
A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series. IEEE Access 7: 143608-143619 (2019) - [i3]Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding:
Artificial Intelligent Diagnosis and Monitoring in Manufacturing. CoRR abs/1901.02057 (2019) - [i2]Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan:
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. CoRR abs/1903.06753 (2019) - [i1]Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan:
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series. CoRR abs/1904.00575 (2019)
Coauthor Index
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