Beitong Zhou

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Supervised Learning

Fault Diagnosis

Convex Optimization

Top Venues

IEEE Trans. Ind. Informatics

Publications

Xiaoyu Liu, Beitong Zhou, Cheng Cheng
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning. CoRR (2024)
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) (2023)
Beitong Zhou, Jing Lu, Kerui Liu, Yunlu Xu, Zhanzhan Cheng, Yi Niu
HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint. CVPR (2023)
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 (2020)
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)
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)
Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding
Artificial Intelligent Diagnosis and Monitoring in Manufacturing. CoRR (2019)
Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series. CoRR (2019)
Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis. CoRR (2019)
Wenqian Jiang, Yang Hong, Beitong Zhou, Xin He, Cheng Cheng
A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series. IEEE Access 7 (2019)