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It takes two: Dual Branch Augmentation Module for domain generalization 期刊论文
NEURAL NETWORKS, 2024, 卷号: 172, 页码: 12
作者:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao
收藏  |  浏览/下载：35/0  |  提交时间：2024/03/27
Domain generalization  Fourier transform  Uncertainty calibration  Test-time adaptation  
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18
作者:  Wang, Huanjie;  Li, Yuan;  Bai, Xiwei;  Li, Jingwei;  Tan, Jie;  Liu, Chengbao
收藏  |  浏览/下载：94/0  |  提交时间：2023/11/17
Intelligent diagnosis  Rotating machinery  Label propagation  Subpopulation shift  Unsupervised domain adaptation  
3D Semantic Segmentation of Aerial Photogrammetry Models Based on Orthographic Projection 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 页码: early-access
作者:  Mengqi Rong;  Shuhan Shen
Adobe PDF(5811Kb)  |  收藏  |  浏览/下载：118/39  |  提交时间：2023/09/25
Boosting Semi-Supervised Face Recognition with Raw Faces 期刊论文
Image and Vision Computing, 2022, 页码: 104512
作者:  Chen YZ(陈云泽);  Junjie Huang;  Zheng Zhu;  Xianlei Long;  Qingyi Gu
Adobe PDF(2048Kb)  |  收藏  |  浏览/下载：129/34  |  提交时间：2023/08/25
A New Diagnosis Method with Few-shot Learning Based on a Class-rebalance Strategy for Scarce Faults in Industrial Processes 期刊论文
Machine Intelligence Research, 2023, 页码: 1-12
作者:  Xu, Xinyao;  Xu, De;  Qin, Fangbo
Adobe PDF(1677Kb)  |  收藏  |  浏览/下载：176/61  |  提交时间：2023/06/21
data augmentation  feature clustering  class-rebalance strategy  few-shot learning  fault diagnosis  
Uncertainty Quantification in Remaining Useful Life Prediction under Covariate Shift 期刊论文
Neural Computing and Applications, 2023, 页码: 28
作者:  Wang Huanjie;  Bai Xiwei;  Tan Jie;  Liu Chengbao
Adobe PDF(5073Kb)  |  收藏  |  浏览/下载：141/55  |  提交时间：2023/06/19
Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network  
A 2-D Long Short-Term Memory Fusion Networks for Bearing Remaining Useful Life Prediction 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 22, 页码: 21806-21815
作者:  Li, Yuan;  Wang, Huanjie;  Li, Jingwei;  Tan, Jie
收藏  |  浏览/下载：353/0  |  提交时间：2023/03/20
Hidden Markov models  Feature extraction  Predictive models  Sensors  Mathematical models  Data models  Adaptation models  2-D long short-term memory (2D-LSTM)  fault occurrence time (FOT) detection  information fusion unit (IFU)  remaining useful life (RUL) prediction  
Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
IEEE SENSORS JOURNAL, 2022, 页码: 1-1
作者:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  收藏  |  浏览/下载：314/118  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
Generalization on Unseen Domains via Model-Agnostic Learning for Intelligent Fault Diagnosis 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Wang, Sihan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(3477Kb)  |  收藏  |  浏览/下载：271/47  |  提交时间：2022/06/06
Data-driven fault diagnosis  Domain generalization  Model-agnostic learning  Rolling bearing  
Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文
NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138
作者:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan
收藏  |  浏览/下载：221/0  |  提交时间：2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning