Beitong Zhou

According to our database, Beitong Zhou authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning.

Xiaoyu Liu, Beitong Zhou, Cheng Cheng

CoRR, 2024

2023

Intelligent Fault Diagnosis With Noisy Labels via Semisupervised Learning on Industrial Time Series.

Cheng Cheng, Xiaoyu Liu, Beitong Zhou, Ye Yuan

IEEE Trans. Ind. Informatics, June, 2023

HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint.

Beitong Zhou, Jing Lu, Kerui Liu, Yunlu Xu, Zhanzhan Cheng, Yi Niu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020

Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data.

Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan

Neurocomputing, 2020

pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization.

Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire J. Tomlin, Ye Yuan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model.

Pengchao Hu, Guijun Ma, Yong Zhang, Cheng Cheng, Beitong Zhou, Ye Yuan

Proceedings of the 18th European Control Conference, 2020

2019

A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series.

Wenqian Jiang, Cheng Cheng, Beitong Zhou, Guijun Ma, Ye Yuan

CoRR, 2019

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis.

Cheng Cheng, Beitong Zhou, Guijun Ma, Dongrui Wu, Ye Yuan

CoRR, 2019

Artificial Intelligent Diagnosis and Monitoring in Manufacturing.

Ye Yuan, Guijun Ma, Cheng Cheng, Beitong Zhou, Huan Zhao, Hai-Tao Zhang, Han Ding

CoRR, 2019

A GAN-Based Anomaly Detection Approach for Imbalanced Industrial Time Series.

Wenqian Jiang, Yang Hong, Beitong Zhou, Xin He, Cheng Cheng

IEEE Access, 2019