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Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition Journal article
Chen, Chuangquan, Li, Zhencheng, Kou, Kit Ian, Du, Jie, Li, Chen, Wang, Hongtao, Vong, Chi Man. Comprehensive Multisource Learning Network for Cross-Subject Multimodal Emotion Recognition[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
Authors:  Chen, Chuangquan;  Li, Zhencheng;  Kou, Kit Ian;  Du, Jie;  Li, Chen; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.3/5.7 | Submit date：2024/08/05
Multisource Learning  Multimodal Emotion Recognition  Cross-subject  Low-rank Multimodal Fusion  Domain Generalization  
Tensorized Multi-View Low-Rank Approximation Based Robust Hand-Print Recognition Journal article
Zhao, Shuping, Fei, Lunke, Zhang, Bob, Wen, Jie, Zhao, Pengyang. Tensorized Multi-View Low-Rank Approximation Based Robust Hand-Print Recognition[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2024, 33, 3328-3340.
Authors:  Zhao, Shuping;  Fei, Lunke;  Zhang, Bob;  Wen, Jie;  Zhao, Pengyang
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:10.8/12.1 | Submit date：2024/06/05
Consensus Representation  Low-rank Tensor Sub-space Learning  Multi-view Learning  Robust Hand-print Recognition  
Low-rank kernel regression with preserved locality for multi-class analysis Journal article
Wang,Yingxu, Chen,Long, Zhou,Jin, Li,Tianjun, Yu,Yufeng. Low-rank kernel regression with preserved locality for multi-class analysis[J]. Pattern Recognition, 2023, 141, 109601.
Authors:  Wang,Yingxu;  Chen,Long;  Zhou,Jin;  Li,Tianjun;  Yu,Yufeng
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.5/7.6 | Submit date：2023/08/03
Kernel Ridge Regression  Locality Preserving  Low-rank Learning  Random Feature Space  
Tensor Learning Meets Dynamic Anchor Learning: From Complete to Incomplete Multiview Clustering Journal article
Chen,Yongyong, Zhao,Xiaojia, Zhang,Zheng, Liu,Youfa, Su,Jingyong, Zhou,Yicong. Tensor Learning Meets Dynamic Anchor Learning: From Complete to Incomplete Multiview Clustering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023, 1-14.
Authors:  Chen,Yongyong;  Zhao,Xiaojia;  Zhang,Zheng;  Liu,Youfa;  Su,Jingyong; et al.
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:10.2/10.4 | Submit date：2023/08/03
Bipartite Graph  Bipartite Graph Learning (Bgl)  Correlation  Excavation  Incomplete Multiview Clustering (Imvc)  Kernel  Low-rank Tensor Learning  Multiview Clustering (Mvc)  Optimization  Task Analysis  Tensors  
Fuzzy Graph Subspace Convolutional Network Journal article
Zhou, Jianhang, Zhang, Qi, Zeng, Shaoning, Zhang, Bob. Fuzzy Graph Subspace Convolutional Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 35(4), 5641-5655.
Authors:  Zhou, Jianhang;  Zhang, Qi;  Zeng, Shaoning;  Zhang, Bob
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:10.2/10.4 | Submit date：2024/05/02
Fuzzy Set Theory  Graph Convolutional Network (Gcn)  Low-rank Representation (Lrr)  Subspace Learning (Sc)  
Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering Journal article
Chen, Yongyong, Xiao, Xiaolin, Hua, Zhongyun, Zhou, Yicong. Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(9), 4712-4726.
Authors:  Chen, Yongyong;  Xiao, Xiaolin;  Hua, Zhongyun;  Zhou, Yicong
Favorite | TC[WOS]:49 TC[Scopus]:45  IF:10.2/10.4 | Submit date：2022/05/13
Adaptive Learning  Low-rank Representation (Lrr)  Markov Chain  Multiview Clustering  Spectral Clustering  
Self-paced Enhanced Low-rank Tensor Kernelized Multi-view Subspace Clustering Journal article
Chen, Yongyong, Wang, Shuqin, Xiao, Xiaolin, Liu, Youfa, Hua, Zhongyun, Zhou, Yicong. Self-paced Enhanced Low-rank Tensor Kernelized Multi-view Subspace Clustering[J]. IEEE Transactions on Multimedia, 2022, 24, 4054-4065.
Authors:  Chen, Yongyong;  Wang, Shuqin;  Xiao, Xiaolin;  Liu, Youfa;  Hua, Zhongyun; et al.
Favorite | TC[WOS]:25 TC[Scopus]:26  IF:8.4/8.0 | Submit date：2022/05/13
Multi-view Clustering  Low-rank Tensor Representation  Kernel  Enhanced Low-rank Representation  Self-paced Learning  
Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering Journal article
Chen, Yongyong, Xiao, Xiaolin, Peng, Chong, Lu, Guangming, Zhou, Yicong. Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32(1), 92-104.
Authors:  Chen, Yongyong;  Xiao, Xiaolin;  Peng, Chong;  Lu, Guangming;  Zhou, Yicong
Favorite | TC[WOS]:121 TC[Scopus]:125  IF:8.3/7.1 | Submit date：2022/02/22
Graph Learning  Low-rank  Multi-view Clustering  Tensor Approximation  
Partial Tubal Nuclear Norm Regularized Multi-view Learning Conference paper
Chen, Yongyong, Wang, Shuqin, Peng, Chong, Lu, Guangming, Zhou, Yicong. Partial Tubal Nuclear Norm Regularized Multi-view Learning[C], 2021, 1341-1349.
Authors:  Chen, Yongyong;  Wang, Shuqin;  Peng, Chong;  Lu, Guangming;  Zhou, Yicong
Favorite | TC[WOS]:6 TC[Scopus]:6 | Submit date：2021/12/08
Clustering  Dimension Reduction  Low-rank Tensor  Multi-view Learning  
On the Benefits of Two Dimensional Metric Learning Journal article
Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan. On the Benefits of Two Dimensional Metric Learning[J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 35(2), 1909-1921.
Authors:  Di Wu;  Fan Zhou;  Boyu Wang;  Qicheng Lao;  Chi Man Wong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.9/8.8 | Submit date：2022/05/13
Two Dimensional Learning  Metric Learning  Rademacher Complexity  Boosting  Low-rank Matrices