Yongyong Chen - Dissemin

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Papers authored by Yongyong Chen

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2020 Yongyong Chen

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, Xiaolin Xiao, Yicong Zhou

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Multi-view subspace clustering via simultaneously learning the representation tensor and affinity matrix

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Yongyong Chen

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, Jiaxue Li, Yicong Zhou

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Hyperspectral image denoising by total variation-regularized bilinear factorization

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Chong Peng

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, Yongyong Chen

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, Chenglizhao Chen

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, Qiang Cheng

Robust principal component analysis: A factorization-based approach with linear complexity

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Xiaolin Xiao

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, Yongyong Chen

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, Yue-Jiao Gong

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Low-Rank Preserving t-Linear Projection for Robust Image Feature Extraction

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Yongyong Chen

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, Shuqin Wang, Fangying Zheng, Yigang Cen

Graph-regularized least squares regression for multi-view subspace clustering

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Xiaolin Xiao

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, Yongyong Chen

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, Yue-Jiao Gong

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Prior Knowledge Regularized Multiview Self-Representation and Its Applications

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Xiaolin Xiao

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, Yongyong Chen

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, Yue-Jiao Gong

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2D Quaternion Sparse Discriminant Analysis

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Yongyong Chen

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, Xiaolin Xiao, Yicong Zhou

Low-Rank Quaternion Approximation for Color Image Processing

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2019 Yongyong Chen

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, Xiaolin Xiao, Yicong Zhou

Multi-view Clustering via Simultaneously Learning Graph Regularized Low-Rank Tensor Representation and Affinity Matrix

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Yongyong Chen

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Jointly learning kernel representation tensor and affinity matrix for multi-view clustering

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2018 Yongyong Chen

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Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization

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Yongyong Chen

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, Yicong Zhou

Total Variation Regularized Low-Rank Tensor Approximation for Color Image Denoising

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Yongyong Chen

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, Yicong Zhou

Robust Principal Component Analysis with Matrix Factorization

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Shuqin Wang

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, Yongli Wang, Yongyong Chen

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, Peng Pan, Zhipeng Sun, Guoping He

Robust PCA Using Matrix Factorization for Background/Foreground Separation

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2017 Yongyong Chen

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, Yongli Wang, Dong Wang, Chong Peng, Guoping He

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation

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Fei Xu

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, Yongyong Chen

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, Chong Peng, Yongli Wang

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, Xuefeng Liu, Guoping He

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization

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Chong Peng, Zhao Kang, Fei Xu, Yongyong Chen

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, Qiang Cheng

Image Projection Ridge Regression for Subspace Clustering

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Yongyong Chen

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, Mingqiang Li, Guoping He

Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation

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Fei Xu

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, Jingqi Han, Yongli Wang, Ming Chen, Yongyong Chen

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, Guoping He, Yunhong Hu

Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation

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