Shuai Zhang

activity

20142023

L_{1}

Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing

19 citations · 92 across the 16 of their papers we have counts for

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3 papers · 1 filter

cs.IT2015★ 3 cited

Transformed Schatten-1 Iterative Thresholding Algorithms for Low Rank Matrix Completion

Shuai Zhang, Penghang Yin, Jack Xin

We study a non-convex low-rank promoting penalty function, the transformed Schatten-1 (TS1), and its applications in matrix completion. The TS1 penalty, as a matrix quasi-norm defi…

cs.IT2014★ 5 cited

Minimization of Transformed $L_{1}$ Penalty: Closed Form Representation and Iterative Thresholding Algorithms

Shuai Zhang, Jack Xin

The transformed $l_{1}$ penalty (TL1) functions are a one parameter family of bilinear transformations composed with the absolute value function. When acting on vectors, the TL1 pena…

cs.IT2014★ 19 cited

Minimization of Transformed $L_{1}$ Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing

Shuai Zhang, Jack Xin

We study the minimization problem of a non-convex sparsity promoting penalty function, the transformed $l_{1}$ (TL1), and its application in compressed sensing (CS). The TL1 penalty…

Transformed Schatten-1 Iterative Thresholding Algorithms for Low Rank Matrix Completion

Minimization of Transformed L1​ Penalty: Closed Form Representation and Iterative Thresholding Algorithms

Minimization of Transformed L1​ Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing

Minimization of Transformed $L_{1}$ Penalty: Closed Form Representation and Iterative Thresholding Algorithms

Minimization of Transformed $L_{1}$ Penalty: Theory, Difference of Convex Function Algorithm, and Robust Application in Compressed Sensing