Dynamic Magnetic Resonance Imaging via Nonconvex Low-Rank Matrix Approximation. - Fei Xu 005; Jingqi Han; Yongli Wang 004; Ming Chen; Yongyong Chen; Guoping He; Yunhong Hu (IEEE Access, 2017)

Denoising of Hyperspectral Image Using Low-Rank Matrix Factorization. - Fei Xu 005; Yongyong Chen; Chong Peng 001; Yongli Wang 004; Xuefeng Liu; Guoping He (IEEE Geosci. Remote. Sens. Lett., 2017)

Augmented Lagrangian alternating direction method for low-rank minimization via non-convex approximation. - Yongyong Chen; Yongli Wang 004; Mingqiang Li; Guoping He (Signal Image Video Process., 2017)

Denoising of Hyperspectral Images Using Nonconvex Low Rank Matrix Approximation. - Yongyong Chen; Yanwen Guo 001; Yongli Wang 004; Dong Wang; Chong Peng 001; Guoping He (IEEE Trans. Geosci. Remote. Sens., 2017)

Robust PCA Using Matrix Factorization for Background/Foreground Separation. - Shuqin Wang 001; Yongli Wang 004; Yongyong Chen; Peng Pan; Zhipeng Sun; Guoping He (IEEE Access, 2018)

Moving Object Detection Based on Non-Convex RPCA With Segmentation Constraint. - Zixuan Hu; Yongli Wang 004; Rui Su; Xinxin Bian; Hongchao Wei; Guoping He (IEEE Access, 2020)

H∞ Control of Discrete-Time Stochastic Systems With Borel-Measurable Markov Jumps. - Hongji Ma; Yuechen Cui; Yongli Wang 004 (IEEE Access, 2020)

Video Background/Foreground Separation Model Based on Non-Convex Rank Approximation RPCA and Superpixel Motion Detection. - Yongli Wang 004; Hongchao Wei; Xiaoyun Ding; Juliang Tao (IEEE Access, 2020)

Towards efficient and robust correntropy-based anchor tensor learning for multi-view subspace clustering. - Shuqin Wang 001; Yongli Wang 004; Fang Qiu; Yongyong Chen; Yigang Cen; Fanghui Zhang (Signal Process., 2026)