Yongli Wang

According to our database, Yongli Wang authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Towards efficient and robust correntropy-based anchor tensor learning for multi-view subspace clustering.

Shuqin Wang, Yongli Wang, Fang Qiu, Yongyong Chen, Yigang Cen, Fanghui Zhang

Signal Process., 2026

2020

Video Background/Foreground Separation Model Based on Non-Convex Rank Approximation RPCA and Superpixel Motion Detection.

Yongli Wang, Hongchao Wei, Xiaoyun Ding, Juliang Tao

IEEE Access, 2020

H_∞ Control of Discrete-Time Stochastic Systems With Borel-Measurable Markov Jumps.

Hongji Ma, Yuechen Cui, Yongli Wang

IEEE Access, 2020

Moving Object Detection Based on Non-Convex RPCA With Segmentation Constraint.

Zixuan Hu, Yongli Wang, Rui Su, Xinxin Bian, Hongchao Wei, Guoping He

IEEE Access, 2020

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

2017

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation.

Yongyong Chen, Yanwen Guo, Yongli Wang, Dong Wang, Chong Peng, Guoping He

IEEE Trans. Geosci. Remote. Sens., 2017

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

Yongyong Chen, Yongli Wang, Mingqiang Li, Guoping He

Signal Image Video Process., 2017

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization.

Fei Xu, Yongyong Chen, Chong Peng, Yongli Wang, Xuefeng Liu, Guoping He

IEEE Geosci. Remote. Sens. Lett., 2017

Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation.

Fei Xu, Jingqi Han, Yongli Wang, Ming Chen, Yongyong Chen, Guoping He, Yunhong Hu

IEEE Access, 2017