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CASIA OpenIR
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Adaptive-weighted deep multi-view clustering with uniform scale representation 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 114-126
作者:  Chen, Rui;  Tang, Yongqiang;  Zhang, Wensheng;  Feng, Wenlong
收藏  |  浏览/下载：93/0  |  提交时间：2024/02/21
Multi-view clustering  Deep clustering  Adaptive-weighted learning  Uniform scale representation  
Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9357-9373
作者:  Tang, Yongqiang;  Xie, Yuan;  Zhang, Wensheng
收藏  |  浏览/下载：91/0  |  提交时间：2023/11/17
Affine subspace  low-rank representation  low-rank tensor  multi-view learning  subspace clustering  
Learning specific and conserved features of multi-layer networks 期刊论文
INFORMATION SCIENCES, 2023, 卷号: 622, 页码: 930-945
作者:  Wu, Wenming;  Yang, Tao;  Ma, Xiaoke;  Zhang, Wensheng;  Li, He;  Huang, Jianbin;  Li, Yanni;  Cui, Jiangtao
收藏  |  浏览/下载：255/0  |  提交时间：2023/02/22
Multi-layer networks  Matrix factorization  Graph clustering  Joint learning  
Network-based integrative analysis of single-cell transcriptomic and epigenomic data for cell types 期刊论文
BRIEFINGS IN BIOINFORMATICS, 2022, 卷号: 23, 期号: 2, 页码: 13
作者:  Wu, Wenming;  Zhang, Wensheng;  Ma, Xiaoke
收藏  |  浏览/下载：206/0  |  提交时间：2022/07/25
single-cell multi-omics data  integrative analysis  adaptive graph learning  cell type  
SLAN: Similarity-aware aggregation network for embedding out-of-knowledge-graph entities 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 186-196
作者:  Li, Mingda;  Sun, Zhengya;  Zhang, Wensheng
Adobe PDF(931Kb)  |  收藏  |  浏览/下载：359/69  |  提交时间：2022/06/10
Knowledge graph embedding  Out-of-knowledge-graph entities  Knowledge graph completion  Similarity search  
Quality-Related Fault Diagnosis Based on k-Nearest Neighbor Rule for Non-Linear Industrial Processes 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 卷号: 17, 期号: 11, 页码: 1-14
作者:  Ren, Zelin;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(1256Kb)  |  收藏  |  浏览/下载：447/74  |  提交时间：2021/12/28
fault detection  fault diagnosis  quality-related  non-linear industrial process  k-nearest neighbor rule  
Deep convolutional self-paced clustering 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 15
作者:  Chen, Rui;  Tang, Yongqiang;  Tian, Lei;  Zhang, Caixia;  Zhang, Wensheng
Adobe PDF(2029Kb)  |  收藏  |  浏览/下载：303/61  |  提交时间：2021/11/02
Deep clustering  Convolutional autoencoder  Local structure preservation  Self-paced learning  
非贪婪的鲁棒性度量学习算法 期刊论文
中国图象图形学报, 2020, 卷号: 25, 期号: 9, 页码: 1825-1836
作者:  曾凡霞;  张文生
浏览  |  Adobe PDF(2035Kb)  |  收藏  |  浏览/下载：348/101  |  提交时间：2020/09/28
距离度量学习  鲁棒性  非贪婪算法  边缘费歇尔分析( MFA)  分类识别  L2 /L1 损失  
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：380/64  |  提交时间：2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)  
Enhancing Knowledge Graph Completion with Positive Unlabeled Learning 会议论文
, Beijing, August 20-24
作者:  Niu, Jinghao;  Sun, Zhengya;  Zhang, Wensheng
浏览  |  Adobe PDF(703Kb)  |  收藏  |  浏览/下载：273/95  |  提交时间：2020/05/08