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Partial label feature selection based on noisy manifold and label distribution Journal article
Qian, Wenbin, Liu, Jiale, Yang, Wenji, Huang, Jintao, Ding, Weiping. Partial label feature selection based on noisy manifold and label distribution[J]. Pattern Recognition, 2024, 156, 110791.
Authors:  Qian, Wenbin;  Liu, Jiale;  Yang, Wenji;  Huang, Jintao;  Ding, Weiping
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.5/7.6 | Submit date：2024/08/05
Feature Dependency  Feature Selection  Label Distribution  Manifold Learning  Partial Label Learning  
Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition Journal article
Li, Cunbo, Li, Peiyang, Chen, Zhaojin, Yang, Lei, Li, Fali, Wan, Feng, Cao, Zehong, Yao, Dezhong, Lu, Bao Liang, Xu, Peng. Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024.
Authors:  Li, Cunbo;  Li, Peiyang;  Chen, Zhaojin;  Yang, Lei;  Li, Fali; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.6/8.7 | Submit date：2024/10/10
Affective Brain-computer Interface (Abci) System  Cognition-inspired Learning  Electroencephalogram (Eeg) Brain Networks  Emotion Recognition  Geometry Manifold  Graph Embedding  L1-norm Space  
A two-scale manifold learning method for spatiotemporal modeling of lithium-ion battery thermal process Journal article
Xu, Kang Kang, Yang, Hai Dong, Yin, Si Hua, Zhu, Cheng Jiu, Fan, Bi, Hu, Luoke. A two-scale manifold learning method for spatiotemporal modeling of lithium-ion battery thermal process[J]. Nonlinear Dynamics, 2022, 109(4), 2875-2892.
Authors:  Xu, Kang Kang;  Yang, Hai Dong;  Yin, Si Hua;  Zhu, Cheng Jiu;  Fan, Bi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.2/4.8 | Submit date：2022/08/05
Galerkin’s Method  Lithium-ion Battery Thermal Process  Spatiotemporal Modeling  Time/space Separation  Two-scale Manifold 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  
Semi-supervised classification by graph p-Laplacian convolutional networks Journal article
Fu, Sichao, Liu, Weifeng, Zhang, Kai, Zhou, Yicong, Tao, Dapeng. Semi-supervised classification by graph p-Laplacian convolutional networks[J]. Information Sciences, 2021, 560, 92-106.
Authors:  Fu, Sichao;  Liu, Weifeng;  Zhang, Kai;  Zhou, Yicong;  Tao, Dapeng
Favorite | TC[WOS]:33 TC[Scopus]:44  IF:0/0 | Submit date：2021/12/08
Graph Convolutional Networks  Manifold Learning  P-laplacian  Semi-supervised Classification  
Consensus guided incomplete multi-view spectral clustering Journal article
Wen,Jie, Sun,Huijie, Fei,Lunke, Li,Jinxing, Zhang,Zheng, Zhang,Bob. Consensus guided incomplete multi-view spectral clustering[J]. Neural Networks, 2021, 133, 207-219.
Authors:  Wen,Jie;  Sun,Huijie;  Fei,Lunke;  Li,Jinxing;  Zhang,Zheng; et al.
Favorite | TC[WOS]:40 TC[Scopus]:43  IF:6.0/7.9 | Submit date：2021/03/11
Co-regularization  Incomplete Multi-view Clustering  Manifold Learning  Spectral Clustering  
HesGCN: Hessian graph convolutional networks for semi-supervised classification Journal article
Fu, Sichao, Liu, Weifeng, Tao, Dapeng, Zhou, Yicong, Nie, Liqiang. HesGCN: Hessian graph convolutional networks for semi-supervised classification[J]. Information Sciences, 2020, 514, 484-498.
Authors:  Fu, Sichao;  Liu, Weifeng;  Tao, Dapeng;  Zhou, Yicong;  Nie, Liqiang
Favorite | TC[WOS]:49 TC[Scopus]:51  IF:0/0 | Submit date：2021/12/06
Graph Convolutional Networks  Hessian  Manifold Assumption  Semi-supervised Learning  
Hessian Regularized Distance Metric Learning for People Re-Identification Journal article
Feng, Guanhua, Liu, Weifeng, Tao, Dapeng, Zhou, Yicong. Hessian Regularized Distance Metric Learning for People Re-Identification[J]. NEURAL PROCESSING LETTERS, 2019, 50, 2087-2100.
Authors:  Feng, Guanhua;  Liu, Weifeng;  Tao, Dapeng;  Zhou, Yicong
Favorite | TC[WOS]:8 TC[Scopus]:11  IF:2.6/2.4 | Submit date：2022/05/17
Hessian Energy  Manifold Regularization  Metric Learning  Person Re-identification  
Ensemble p-Laplacian Regularization for Scene Image Recognition Journal article
Ma, Xueqi, Liu, Weifeng, Tao, Dapeng, Zhou, Yicong. Ensemble p-Laplacian Regularization for Scene Image Recognition[J]. Cognitive Computation, 2019, 11(6), 841-854.
Authors:  Ma, Xueqi;  Liu, Weifeng;  Tao, Dapeng;  Zhou, Yicong
Favorite | TC[WOS]:16 TC[Scopus]:20  IF:4.3/4.0 | Submit date：2022/05/17
Ensemble P-laplacian Regularization  Manifold Regularization  Semi-supervised Learning  
P-Laplacian Regularization for Scene Recognition Journal article
Liu, W. F., Ma, X. Q., Zhou, Y. C., Tao, D. P., Cheng, J.. P-Laplacian Regularization for Scene Recognition[J]. IEEE Transactions on Cybernetics, 2019, 2927-2940.
Authors:  Liu, W. F.;  Ma, X. Q.;  Zhou, Y. C.;  Tao, D. P.;  Cheng, J.
Favorite | TC[WOS]:90 TC[Scopus]:75  IF:9.4/10.3 | Submit date：2022/07/09
Laplacian Regularization (Lapr)  Manifold Learning  P-laplacian  Scene Recognition  Semi-supervised Learning (Ssl)