Angang Cui

发表

Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization

Haiyang Li, Jigen Peng, Junxiong Jia, 2018, J. Comput. Appl. Math..

Design strategy of thresholding operator for low-rank matrix recovery problem

Jigen Peng, Angang Cui, Fujun Zhao, 2020, Signal Process..

Sparse non-negative signal reconstruction using fraction function penalty

Jigen Peng, Meng Wen, Angang Cui, 2019, IET Signal Process..

A Primal Douglas–Rachford Splitting Method for the Constrained Minimization Problem in Compressive Sensing

Jigen Peng, Angang Cui, Yongchao Yu, 2017, Circuits, Systems, and Signal Processing.

A nonconvex approach to low-rank and sparse matrix decomposition with application to video surveillance pdf

Haiyang Li, Jigen Peng, Changlong Wang, 2018, ArXiv.

Efficient primal–dual fixed point algorithms with dynamic stepsize for composite convex optimization problems

Jigen Peng, Meng Wen, Angang Cui, 2018, Multidimens. Syst. Signal Process..

Exact recovery low-rank matrix via transformed affine matrix rank minimization

Haiyang Li, Jigen Peng, Angang Cui, 2016, Neurocomputing.

Corrigendum to "Affine matrix rank minimization problem via non-convex fraction function penalty" [J. Comput. Appl. Math. 336 (2018) 353-374]

Haiyang Li, Jigen Peng, Angang Cui, 2019, J. Comput. Appl. Math..

Affine matrix rank minimization problem via non-convex fraction function penalty

Haiyang Li, Jigen Peng, Angang Cui, 2016, J. Comput. Appl. Math..

Guarantees of Fast Band Restricted Thresholding Algorithm for Low-Rank Matrix Recovery Problem

Jigen Peng, Angang Cui, Fujun Zhao, 2020 .

Generalized singular value thresholding operator to affine matrix rank minimization problem

Jigen Peng, Junxiong Jia, Angang Cui, 2017 .