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Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning Journal article
Chen, Tingjian, Zeng, Ying, Yuan, Haoliang, Zhong, Guo, Lai, Loi Lei, Tang, Yuan Yan. Multi-level regularization-based unsupervised multi-view feature selection with adaptive graph learning[J]. International Journal of Machine Learning and Cybernetics, 2022, 14(5), 1695-1709.
Authors:  Chen, Tingjian;  Zeng, Ying;  Yuan, Haoliang;  Zhong, Guo;  Lai, Loi Lei; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.1/3.6 | Submit date：2023/01/30
Adaptive Graph Learning  Multi-level Regularization  Multi-view Feature Selection  Unsupervised Learning  
Local Learning-based Multi-task Clustering Journal article
Guo Zhong, Chi-Man Pun. Local Learning-based Multi-task Clustering[J]. KNOWLEDGE-BASED SYSTEMS, 2022, 255, 109798.
Authors:  Guo Zhong;  Chi-Man Pun
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:7.2/7.4 | Submit date：2022/11/18
Adaptive Local Learning  Projection  Unsupervised Feature Selection  Multi-task Clustering  
Multi-view unsupervised feature selection with tensor low-rank minimization Journal article
Yuan, Haoliang, Li, Junyu, Liang, Yong, Tang, Yuan Yan. Multi-view unsupervised feature selection with tensor low-rank minimization[J]. NEUROCOMPUTING, 2022, 487, 75-85.
Authors:  Yuan, Haoliang;  Li, Junyu;  Liang, Yong;  Tang, Yuan Yan
Favorite | TC[WOS]:23 TC[Scopus]:26  IF:5.5/5.5 | Submit date：2022/05/13
Unsupervised Feature Selection  Tensor Low-rank  Graph Embedding  
Tensor-based Unsupervised Multi-view Feature Selection for Image Recognition Conference paper
Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu. Tensor-based Unsupervised Multi-view Feature Selection for Image Recognition[C]:IEEE, 2021.
Authors:  Yongshan Zhang;  Xinxin Wang;  Zhihua Cai;  Yicong Zhou;  Philip S. Yu
Favorite | TC[Scopus]:5 | Submit date：2022/05/13
Image Recognition  Multi-view Learning  Tensor Factorization  Unsupervised Feature Selection  
Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection Journal article
Yuan H., Li J., Lai L.L., Tang Y.Y.. Joint sparse matrix regression and nonnegative spectral analysis for two-dimensional unsupervised feature selection[J]. Pattern Recognition, 2019, 89, 119-133.
Authors:  Yuan H.;  Li J.;  Lai L.L.;  Tang Y.Y.
Favorite | TC[WOS]:29 TC[Scopus]:33 | Submit date：2019/02/11
Nonnegative Spectral Analysis  Sparse Matrix Regression  Two-dimensional Feature Selection  Unsupervised Learning