A stochastic primal-dual algorithm for composite optimization with a linear operator.

A truncated approximate difference algorithm for sparse signal recovery.

Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery.

A General Null Space Property for Sparse Principal Component Analysis.

A Nonconvex Method to Low-Rank Matrix Completion.

Minimization of Fraction Function Penalty in Compressed Sensing.

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

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

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

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

Sparse non-negative signal reconstruction using fraction function penalty.

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

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

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

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