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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
Adobe PDF(1630Kb)  |  收藏  |  浏览/下载：91/7  |  提交时间：2024/03/27
Domain generalization  Fourier transform  Uncertainty calibration  Test-time adaptation  
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：130/14  |  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：171/60  |  提交时间：2023/06/19
Remaining useful life  Uncertainty quantification  Bayesian convolutional neural network  
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：343/124  |  提交时间：2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
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：270/15  |  提交时间：2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning  
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：277/62  |  提交时间：2021/01/06
Bearing  Fault diagnosis  Domain adaptation  Prototype learning  
Integrated modeling of coking flue gas indices based on mechanism model and improved neural network 期刊论文
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 卷号: 41, 期号: 1, 页码: 85-96
作者:  Li, Yaning;  Wang, Xuelei;  Tan, Jie
收藏  |  浏览/下载：291/0  |  提交时间：2019/07/12
Coking  process control  neural network (NN)  mechanism model  integrated modeling