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Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载：133/14  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
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：177/60  |  提交时间：2023/06/19
Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network  
Uncertainty quantification of bearing remaining useful life based on convolutional neural network 会议论文
, Canberra, Australia, 2020-12
作者:  Wang Huanjie;  Bai Xiwei;  Tan, Jie
Adobe PDF(952Kb)  |  收藏  |  浏览/下载：145/53  |  提交时间：2023/05/31
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：349/125  |  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：315/60  |  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
Adobe PDF(1969Kb)  |  收藏  |  浏览/下载：273/15  |  提交时间：2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning  
A novel approach to obtain optimal exposure for 3D shape reconstruction of high dynamic range objects 期刊论文
Measurement Science and Technology, 2021, 卷号: 32, 期号: 9, 页码: 1-1
作者:  Wu,Ke;  Tan,Jie;  Liu,Chengbao
Adobe PDF(18867Kb)  |  收藏  |  浏览/下载：314/48  |  提交时间：2021/08/15
structured light  fringe projection  3D reconstruction  auto-exposure  
An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 5, 页码: 6314-6324
作者:  Wu, Ke;  Tan, Jie;  Xia, Hai Lun;  Liu, Cheng Bao
Adobe PDF(5488Kb)  |  收藏  |  浏览/下载：410/69  |  提交时间：2021/03/29
Surface reconstruction  Three-dimensional displays  Image reconstruction  Stereo vision  Reflective binary codes  Cameras  Sensors  Structured light  stereo vision  3D reconstruction  image fusion  
Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11
作者:  Wang, Huanjie;  Bai, Xiwei;  Tan, Jie;  Yang, Jiechao
Adobe PDF(1084Kb)  |  收藏  |  浏览/下载：280/63  |  提交时间：2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning  
Identification of Power Quality Disturbance Sources using Gradient Boosting Decision Tree 会议论文
, Xi'an, China, China, 30 Nov.-2 Dec. 2018
作者:  Pan, Cheng;  Tan, Jie;  Feng, Dandan
浏览  |  Adobe PDF(423Kb)  |  收藏  |  浏览/下载：265/72  |  提交时间：2020/09/25
gradient boosting decision tree , power quality , identification , disturbance sources