Robust PCA Using Matrix Factorization for Background/Foreground Separation. - Shuqin Wang 001; Yongli Wang; Yongyong Chen; Peng Pan; Zhipeng Sun; Guoping He (IEEE Access, 2018)

Tensor Nuclear Norm-Based Low-Rank Approximation With Total Variation Regularization. - Yongyong Chen; Shuqin Wang 001; Yicong Zhou (IEEE J. Sel. Top. Signal Process., 2018)

Graph-regularized least squares regression for multi-view subspace clustering. - Yongyong Chen; Shuqin Wang 001; Fangying Zheng; Yigang Cen (Knowl. Based Syst., 2020)

Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering. - Shuqin Wang 001; Yongyong Chen; Yigang Ce; Linna Zhang; Viacheslav V. Voronin (ICIP, 2021)

Partial Tubal Nuclear Norm Regularized Multi-view Learning. - Yongyong Chen; Shuqin Wang 001; Chong Peng 001; Guangming Lu 002; Yicong Zhou (ACM Multimedia, 2021)

Error-robust low-rank tensor approximation for multi-view clustering. - Shuqin Wang 001; Yongyong Chen; Yi Jin 001; Yigang Cen; Yidong Li; Linna Zhang (Knowl. Based Syst., 2021)

Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering. - Yongyong Chen; Shuqin Wang 001; Chong Peng 001; Zhongyun Hua; Yicong Zhou (IEEE Trans. Image Process., 2021)

Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering. - Yongyong Chen; Shuqin Wang 001; Jingyong Su; Junxin Chen 001 (ICDM, 2022)

Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering. - Shuqin Wang 001; Yongyong Chen; Yigang Cen; Linna Zhang; Hengyou Wang; Viacheslav V. Voronin (Appl. Intell., 2022)

Frobenius norm-regularized robust graph learning for multi-view subspace clustering. - Shuqin Wang 001; Yongyong Chen; Shuang Yi; Guoqing Chao (Appl. Intell., 2022)

Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering. - Yongyong Chen; Shuqin Wang 001; Xiaolin Xiao; Youfa Liu; Zhongyun Hua; Yicong Zhou (IEEE Trans. Multim., 2022)

Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering. - Shuqin Wang 001; Yongyong Chen; Linna Zhang; Yigang Cen; Viacheslav V. Voronin (IEEE Trans. Signal Inf. Process. over Networks, 2022)

End-to-end feature diversity person search with rank constraint of cross-class matrix. - Yue Zhang 065; Shuqin Wang 001; Shichao Kan; Yigang Cen; Linna Zhang (Neurocomputing, 2023)

Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering. - Shuqin Wang 001; Zhiping Lin 001; Qi Cao 002; Yigang Cen; Yongyong Chen (IEEE Trans. Image Process., 2023)

Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering. - Shuqin Wang 001; Yongyong Chen; Zhiping Lin 001; Yigang Cen; Qi Cao 002 (IEEE Trans. Circuits Syst. Video Technol., 2023)

Double Discrete Cosine Transform-Oriented Multi-View Subspace Clustering. - Yongyong Chen; Shuqin Wang 001; Yin-Ping Zhao; C. L. Philip Chen (IEEE Trans. Image Process., 2024)

Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning. - Yongyong Chen; Yin-Ping Zhao; Shuqin Wang 001; Junxin Chen 001; Zheng Zhang 006 (IEEE Trans. Cybern., 2024)

Data Completion-Guided Unified Graph Learning for Incomplete Multi-View Clustering. - Tianhai Liang; Qiangqiang Shen; Shuqin Wang 001; Yongyong Chen; Guokai Zhang; Junxin Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)

Dual Completion Learning for Incomplete Multi-View Clustering. - Qiangqiang Shen; Xuanqi Zhang; Shuqin Wang 001; Yuanman Li; Yongsheng Liang 001; Yongyong Chen (IEEE Trans. Emerg. Top. Comput. Intell., 2025)