Shuqin Wang

According to our database, Shuqin Wang authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Dual Completion Learning for Incomplete Multi-View Clustering.

Qiangqiang Shen, Xuanqi Zhang, Shuqin Wang, Yuanman Li, Yongsheng Liang, Yongyong Chen

IEEE Trans. Emerg. Top. Comput. Intell., February, 2025

2024

Data Completion-Guided Unified Graph Learning for Incomplete Multi-View Clustering.

Tianhai Liang, Qiangqiang Shen, Shuqin Wang, Yongyong Chen, Guokai Zhang, Junxin Chen

ACM Trans. Knowl. Discov. Data, September, 2024

Partial Tubal Nuclear Norm-Regularized Multiview Subspace Learning.

Yongyong Chen, Yin-Ping Zhao, Shuqin Wang, Junxin Chen, Zheng Zhang

IEEE Trans. Cybern., June, 2024

Double Discrete Cosine Transform-Oriented Multi-View Subspace Clustering.

Yongyong Chen, Shuqin Wang, Yin-Ping Zhao, C. L. Philip Chen

IEEE Trans. Image Process., 2024

2023

Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering.

Shuqin Wang, Yongyong Chen, Zhiping Lin, Yigang Cen, Qi Cao

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Bi-Nuclear Tensor Schatten-p Norm Minimization for Multi-View Subspace Clustering.

Shuqin Wang, Zhiping Lin, Qi Cao, Yigang Cen, Yongyong Chen

IEEE Trans. Image Process., 2023

End-to-end feature diversity person search with rank constraint of cross-class matrix.

Yue Zhang, Shuqin Wang, Shichao Kan, Yigang Cen, Linna Zhang

Neurocomputing, 2023

2022

Hyper-Laplacian Regularized Nonconvex Low-Rank Representation for Multi-View Subspace Clustering.

Shuqin Wang, Yongyong Chen, Linna Zhang, Yigang Cen, Viacheslav V. Voronin

IEEE Trans. Signal Inf. Process. over Networks, 2022

Self-Paced Enhanced Low-Rank Tensor Kernelized Multi-View Subspace Clustering.

Yongyong Chen, Shuqin Wang, Xiaolin Xiao, Youfa Liu, Zhongyun Hua, Yicong Zhou

IEEE Trans. Multim., 2022

Frobenius norm-regularized robust graph learning for multi-view subspace clustering.

Shuqin Wang, Yongyong Chen, Shuang Yi, Guoqing Chao

Appl. Intell., 2022

Nonconvex low-rank and sparse tensor representation for multi-view subspace clustering.

Shuqin Wang, Yongyong Chen, Yigang Cen, Linna Zhang, Hengyou Wang, Viacheslav V. Voronin

Appl. Intell., 2022

Correntropy-Induced Tensor Learning for Multi-view Subspace Clustering.

Yongyong Chen, Shuqin Wang, Jingyong Su, Junxin Chen

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Generalized Nonconvex Low-Rank Tensor Approximation for Multi-View Subspace Clustering.

Yongyong Chen, Shuqin Wang, Chong Peng, Zhongyun Hua, Yicong Zhou

IEEE Trans. Image Process., 2021

Error-robust low-rank tensor approximation for multi-view clustering.

Shuqin Wang, Yongyong Chen, Yi Jin, Yigang Cen, Yidong Li, Linna Zhang

Knowl. Based Syst., 2021

Partial Tubal Nuclear Norm Regularized Multi-view Learning.

Yongyong Chen, Shuqin Wang, Chong Peng, Guangming Lu, Yicong Zhou

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Low-Rank And Sparse Tensor Representation For Multi-View Subspace Clustering.

Shuqin Wang, Yongyong Chen, Yigang Ce, Linna Zhang, Viacheslav V. Voronin

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

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

Yongyong Chen, Shuqin Wang, Fangying Zheng, Yigang Cen

Knowl. Based Syst., 2020

2018

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

Yongyong Chen, Shuqin Wang, Yicong Zhou

IEEE J. Sel. Top. Signal Process., 2018

Robust PCA Using Matrix Factorization for Background/Foreground Separation.

Shuqin Wang, Yongli Wang, Yongyong Chen, Peng Pan, Zhipeng Sun, Guoping He

IEEE Access, 2018