271 citations · 620 across the 4 of their papers we have counts for
5 papers
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
Xiaoyu Liu, Beitong Zhou, Zuogong Yue +1
Recently, the usage of Contrastive Representation Learning (CRL) as a pre-training technique improves the performance of learning with noisy labels (LNL) methods. However, instead…
A recurrent neural network approach for remaining useful life prediction utilizing a novel trend features construction method
Sen Zhao, Yong Zhang, Shang Wang +2
Data-driven methods for remaining useful life (RUL) prediction normally learn features from a fixed window size of a priori of degradation, which may lead to less accurate predicti…
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series
Wenqian Jiang, Cheng Cheng, Beitong Zhou +2
This paper proposes a novel fault diagnosis approach based on generative adversarial networks (GAN) for imbalanced industrial time series where normal samples are much larger than…
Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis
Cheng Cheng, Beitong Zhou, Guijun Ma +2
The demand of artificial intelligent adoption for condition-based maintenance strategy is astonishingly increased over the past few years. Intelligent fault diagnosis is one critic…
A General End-to-end Diagnosis Framework for Manufacturing Systems
Ye Yuan, Guijun Ma, Cheng Cheng +4
The manufacturing sector is envisioned to be heavily influenced by artificial intelligence-based technologies with the extraordinary increases in computational power and data volum…