A Primal Douglas-Rachford Splitting Method for the Constrained Minimization Problem in Compressive Sensing. - Yongchao Yu; Jigen Peng; Xuanli Han; Angang Cui (Circuits Syst. Signal Process., 2017)

A nonconvex approach to low-rank and sparse matrix decomposition with application to video surveillance. - Angang Cui; Jigen Peng; Haiyang Li; Changlong Wang (CoRR, 2018)

Exact recovery low-rank matrix via transformed affine matrix rank minimization. - Angang Cui; Jigen Peng; Haiyang Li (Neurocomputing, 2018)

Affine matrix rank minimization problem via non-convex fraction function penalty. - Angang Cui; Jigen Peng; Haiyang Li; Chengyi Zhang; Yongchao Yu (J. Comput. Appl. Math., 2018)

Sparse non-negative signal reconstruction using fraction function penalty. - Angang Cui; Jigen Peng; Haiyang Li; Meng Wen (IET Signal Process., 2019)

Iterative thresholding algorithm based on non-convex method for modified lp-norm regularization minimization. - Angang Cui; Jigen Peng; Haiyang Li; Meng Wen; Junxiong Jia (J. Comput. Appl. Math., 2019)

Corrigendum to "Affine matrix rank minimization problem via non-convex fraction function penalty" [J. Comput. Appl. Math. 336 (2018) 353-374]. - Angang Cui; Jigen Peng; Haiyang Li; Chengyi Zhang; Youngchao Yu (J. Comput. Appl. Math., 2019)

Efficient primal-dual fixed point algorithms with dynamic stepsize for composite convex optimization problems. - Meng Wen; Yuchao Tang; Angang Cui; Jigen Peng (Multidimens. Syst. Signal Process., 2019)

Design strategy of thresholding operator for low-rank matrix recovery problem. - Fujun Zhao; Jigen Peng; Angang Cui (Signal Process., 2020)

Minimization of Fraction Function Penalty in Compressed Sensing. - Haiyang Li; Qian Zhang; Angang Cui; Jigen Peng (IEEE Trans. Neural Networks Learn. Syst., 2020)

A Nonconvex Method to Low-Rank Matrix Completion. - Haizhen He; Angang Cui; Hong Yang; Meng Wen (IEEE Access, 2022)

A General Null Space Property for Sparse Principal Component Analysis. - Xuanli Han; Jigen Peng; Angang Cui; Fujun Zhao; Kexue Li (Circuits Syst. Signal Process., 2022)

Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery. - Angang Cui; Haizhen He; Zhiqi Xie; Weijun Yan; Hong Yang (IEEE Trans. Signal Process., 2023)

A truncated approximate difference algorithm for sparse signal recovery. - Angang Cui; Lijun Zhang; Haizhen He; Meng Wen (Digit. Signal Process., 2023)

A stochastic primal-dual algorithm for composite optimization with a linear operator. - Meng Wen; Yongqiang Zhang; Yuchao Tang; Angang Cui; Jigen Peng (Expert Syst. Appl., 2025)