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Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF Journal article
Zeng, Shan, Duan, Xiangjun, Bai, Jun, Tao, Wei, Hu, Kun, Tang, Yuanyan. Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF[J]. IEEE Transactions on Fuzzy Systems, 2024, 32(4), 1615-1629.
Authors:  Zeng, Shan;  Duan, Xiangjun;  Bai, Jun;  Tao, Wei;  Hu, Kun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.7/9.7 | Submit date：2024/05/02
Fuzzy Clustering  Laplace Graph Regularization  Seminonnegative Matrix Factorization (Semi-nmf)  Soft Multiprototype Clustering  
Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System Journal article
Jintao Huang, Chi Man Vong, Guangtai Wang, Wenbin Qian, Yimin Zhou, C. L.Philip Chen. Joint Label Enhancement and Label Distribution Learning Via Stacked Graph Regularization-Based Polynomial Fuzzy Broad Learning System[J]. IEEE Transactions on Fuzzy Systems, 2023, 31(9), 3290-3304.
Authors:  Jintao Huang;  Chi Man Vong;  Guangtai Wang;  Wenbin Qian;  Yimin Zhou; et al.
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:10.7/9.7 | Submit date：2023/08/03
Broad Learning System  Classification Algorithms  Correlation  Feature Extraction  Graph Regularization  Label Ambiguity  Label Distribution Learning  Label Enhancement  Learning Systems  Task Analysis  Technological Innovation  Training  
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  
Graph-based sparse bayesian broad learning system for semi-supervised learning Journal article
Xu, Lili, Philip Chen, C. L., Han, Ruizhi. Graph-based sparse bayesian broad learning system for semi-supervised learning[J]. INFORMATION SCIENCES, 2022, 597, 193-210.
Authors:  Xu, Lili;  Philip Chen, C. L.;  Han, Ruizhi
Favorite | TC[WOS]:13 TC[Scopus]:13  IF:0/0 | Submit date：2022/05/13
Classification  Fast Marginal Likelihood Maximization  Graph-based Model  Manifold Regularization  Semi-supervised Learning  Sparse Bayesian Broad Learning System  
Graph-regularized Bayesian broad learning system 基于图正则化的贝叶斯宽度学习系统 Journal article
Junwei DUAN, Lincan XU, Yujuan QUAN, Long CHEN, C.L.Philip CHEN. Graph-regularized Bayesian broad learning system 基于图正则化的贝叶斯宽度学习系统[J]. Chinese Journal of Intelligent Science and Technology, 2022, 4(1), 109-117.
Authors:  Junwei DUAN;  Lincan XU;  Yujuan QUAN;  Long CHEN;  C.L.Philip CHEN
Favorite | TC[Scopus]:2
Domain Adaptation with Few Labeled Source Samples by Graph Regularization Journal article
Li, Jinfeng, Liu, Weifeng, Zhou, Yicong, Tao, Dapeng, Nie, Liqiang. Domain Adaptation with Few Labeled Source Samples by Graph Regularization[J]. Neural Processing Letters, 2019, 51(1), 23-39.
Authors:  Li, Jinfeng;  Liu, Weifeng;  Zhou, Yicong;  Tao, Dapeng;  Nie, Liqiang
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:2.6/2.4 | Submit date：2021/12/06
Domain Adaptation  Graph Regularization  Manifold Learning  Maximum Mean Discrepancy (Mmd)  Transfer Learning  
Principal Component Analysis on Graph-Hessian Conference paper
Pan, Yichen, Zhou, Yicong, Liu, Weifeng, Nie, Liqiang. Principal Component Analysis on Graph-Hessian[C], 2019, 1494-1501.
Authors:  Pan, Yichen;  Zhou, Yicong;  Liu, Weifeng;  Nie, Liqiang
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2022/05/17
Dimensionality Reduction  Graph  Hessian Regularization  Manifold Learning  Principal Component Analysis  
Graph-based multiple rank regression for image classification Journal article
Yuan, Haoliang, Li, Junyu, Lai, Loi Lei, Tang, Yuan Yan. Graph-based multiple rank regression for image classification[J]. NEUROCOMPUTING, 2018, 315, 394-404.
Authors:  Yuan, Haoliang;  Li, Junyu;  Lai, Loi Lei;  Tang, Yuan Yan
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:5.5/5.5 | Submit date：2018/10/30
Multiple Rank Regression  Graph Regularization  Image Classification  
Discriminative graph regularized broad learning system for image recognition Journal article
Jin, Junwei, Liu, Zhulin, Chen, C. L. Philip. Discriminative graph regularized broad learning system for image recognition[J]. SCIENCE CHINA-INFORMATION SCIENCES, 2018, 61(11).
Authors:  Jin, Junwei;  Liu, Zhulin;  Chen, C. L. Philip
Favorite | TC[WOS]:88 TC[Scopus]:102  IF:7.3/5.8 | Submit date：2019/01/17
Broad Learning System  Deep Learning  Graph Regularization  Image Recognition  Feature Extraction  Incremental Learning  
Fuzzy clustering method with graph-based regularization Conference paper
Chen, Long, Guo, Li, Lu, Xiliang, Chen, C. L. Philip. Fuzzy clustering method with graph-based regularization[C], 2016.
Authors:  Chen, Long;  Guo, Li;  Lu, Xiliang;  Chen, C. L. Philip
Favorite | TC[WOS]:0 TC[Scopus]:1 | Submit date：2019/02/11
Admm  Fuzzy Cluster  Graph-based Regularization  Prior Knowledge