A stochastic primal-dual algorithm for composite optimization with a linear operator.
Expert Syst. Appl., 2025
A truncated approximate difference algorithm for sparse signal recovery.
Digit. Signal Process., September, 2023
Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery.
IEEE Trans. Signal Process., 2023
A General Null Space Property for Sparse Principal Component Analysis.
Circuits Syst. Signal Process., 2022
A Nonconvex Method to Low-Rank Matrix Completion.
IEEE Access, 2022
Minimization of Fraction Function Penalty in Compressed Sensing.
IEEE Trans. Neural Networks Learn. Syst., 2020
Design strategy of thresholding operator for low-rank matrix recovery problem.
Signal Process., 2020
Efficient primal-dual fixed point algorithms with dynamic stepsize for composite convex optimization problems.
Multidimens. Syst. Signal Process., 2019
Corrigendum to "Affine matrix rank minimization problem via non-convex fraction function penalty" [J. Comput. Appl. Math. 336 (2018) 353-374].
J. Comput. Appl. Math., 2019
Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization.
J. Comput. Appl. Math., 2019
Sparse non-negative signal reconstruction using fraction function penalty.
IET Signal Process., 2019
Affine matrix rank minimization problem via non-convex fraction function penalty.
J. Comput. Appl. Math., 2018
Exact recovery low-rank matrix via transformed affine matrix rank minimization.
Neurocomputing, 2018
A nonconvex approach to low-rank and sparse matrix decomposition with application to video surveillance.
CoRR, 2018
A Primal Douglas-Rachford Splitting Method for the Constrained Minimization Problem in Compressive Sensing.
Circuits Syst. Signal Process., 2017