45 citations · 52 across the 14 of their papers we have counts for
5 papers · 1 filter
A non-convex approach to low-rank and sparse matrix decomposition
Angang Cui, Meng Wen, Haiyang Li +1
In this paper, we develop a nonconvex approach to the problem of low-rank and sparse matrix decomposition. In our nonconvex method, we replace the rank function and the -nor…
Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization
Angang Cui, Jigen Peng, Haiyang Li +2
Recently, the -norm regularization minimization problem has attracted great attention in compressed sensing. However, the -norm in problem…
A New Nonconvex Strategy to Affine Matrix Rank Minimization Problem
Angang Cui, Jigen Peng, Haiyang Li +2
The affine matrix rank minimization (AMRM) problem is to find a matrix of minimum rank that satisfies a given linear system constraint. It has many applications in some important a…
Sparse Portfolio Selection via Non-convex Fraction Function
Angang Cui, Jigen Peng, Chengyi Zhang +2
In this paper, a continuous and non-convex promoting sparsity fraction function is studied in two sparse portfolio selection models with and without short-selling constraints. Firs…
Modified lp-norm regularization minimization for sparse signal recovery
Angang Cui, Jigen Peng, Haiyang Li
In numerous substitution models for the -norm minimization problem , the -norm minimization with have been considered as the most natural c…