Angang Cui

According to our database, Angang Cui authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A truncated approximate difference algorithm for sparse signal recovery.

Angang Cui, Lijun Zhang, Haizhen He, Meng Wen

Digit. Signal Process., September, 2023

Iterative Difference Hard-Thresholding Algorithm for Sparse Signal Recovery.

Angang Cui, Haizhen He, Zhiqi Xie, Weijun Yan, Hong Yang

IEEE Trans. Signal Process., 2023

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

A Nonconvex Method to Low-Rank Matrix Completion.

Haizhen He, Angang Cui, Hong Yang, Meng Wen

IEEE Access, 2022

2020

Minimization of Fraction Function Penalty in Compressed Sensing.

Haiyang Li, Qian Zhang, Angang Cui, Jigen Peng

IEEE Trans. Neural Networks Learn. Syst., 2020

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

Fujun Zhao, Jigen Peng, Angang Cui

Signal Process., 2020

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

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

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

Sparse non-negative signal reconstruction using fraction function penalty.

Angang Cui, Jigen Peng, Haiyang Li, Meng Wen

IET Signal Process., 2019

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

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

Angang Cui, Jigen Peng, Haiyang Li

Neurocomputing, 2018

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

2017

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