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Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces Journal article
Asgarian, Sepehr, Wang, Ze, Wan, Feng, Wong, Chi Man, Liu, Feng, Mohsenzadeh, Yalda, Wang, Boyu, Ling, Charles X.. Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73, 2509410.
Authors:  Asgarian, Sepehr;  Wang, Ze;  Wan, Feng;  Wong, Chi Man;  Liu, Feng; et al.
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:5.6/5.6 | Submit date：2024/05/16
Electroencephalography  Feature Extraction  Brain Modeling  Electronic Mail  Transfer Learning  Convolutional Neural Networks  Computer Science  Electroencephalography (Eeg)  Multiview Contrastive  Neural Network  Riemannian Neural Network  Transfer Learning  Unsupervised Domain Adaptation (Uda)  
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  
Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM Journal article
Jielei Chu, Hongjun Wang, Jing Liu, Zhiguo Gong, Tianrui Li. Unsupervised Feature Learning Architecture with Multi-clustering Integration RBM[J]. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(6), 3002-3015.
Authors:  Jielei Chu;  Hongjun Wang;  Jing Liu;  Zhiguo Gong;  Tianrui Li
Favorite | TC[WOS]:14 TC[Scopus]:20  IF:8.9/8.8 | Submit date：2021/03/09
Multi-clustering Integration Rbm  Unsupervised Feature Learning  Cd1 Learning  Image Clustering  
Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction Journal article
Lu, Xiaohuan, Long, Jiang, Wen, Jie, Fei, Lunke, Zhang, Bob, Xu, Yong. Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction[J]. PATTERN RECOGNITION, 2022, 131, 108844.
Authors:  Lu, Xiaohuan;  Long, Jiang;  Wen, Jie;  Fei, Lunke;  Zhang, Bob; et al.
Favorite | TC[WOS]:27 TC[Scopus]:28  IF:7.5/7.6 | Submit date：2022/08/02
Dimensionality Reduction  Feature Extraction  Graph Embedding  Unsupervised Learning  
Multi-local Collaborative AutoEncoder Journal article
Chu, Jielei, Wang, Hongjun, Liu, Jing, Gong, Zhiguo, Li, Tianrui. Multi-local Collaborative AutoEncoder[J]. Knowledge-Based Systems, 2021, 239, 107844.
Authors:  Chu, Jielei;  Wang, Hongjun;  Liu, Jing;  Gong, Zhiguo;  Li, Tianrui
Favorite | TC[WOS]:3 TC[Scopus]:8  IF:7.2/7.4 | Submit date：2022/03/28
Autoencoder  Deep Collaborative Representation  Feature Learning  Restricted Boltzmann Machine  Unsupervised Clustering  
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  
Research Review for Broad Learning System: Algorithms, Theory, and Applications Journal article
Gong, Xinrong, Zhang, Tong, Chen, C. L.P., Liu, Zhulin. Research Review for Broad Learning System: Algorithms, Theory, and Applications[J]. IEEE Transactions on Cybernetics, 2021, 52(9), 8922-8950.
Authors:  Gong, Xinrong;  Zhang, Tong;  Chen, C. L.P.;  Liu, Zhulin
Favorite | TC[WOS]:159 TC[Scopus]:170  IF:9.4/10.3 | Submit date：2022/05/13
Broad Learning System (Bls)  Classification  Feature Learning  Regression  Research Review  Semisupervised Learning (Ssl)  Unsupervised Learning  
Sequential Pattern Learning via Kernel Alignment Conference paper
Cheng, Miao, Yang, Weibin, Li, Yonggang, Zhang, Shichao, Tsoi, Ah Chung, Tang, Yuan Yan. Sequential Pattern Learning via Kernel Alignment[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2019, 50-55.
Authors:  Cheng, Miao;  Yang, Weibin;  Li, Yonggang;  Zhang, Shichao;  Tsoi, Ah Chung; et al.
Favorite | TC[WOS]:0 TC[Scopus]:5 | Submit date：2022/05/17
Pattern Alignment  Unsupervised Feature Learning  Scalable Learning  Kernel Alignment  
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