6 citations · 45 across the 36 of their papers we have counts for
36 papers
A VMiPG method for composite optimization with nonsmooth term having no closed-form proximal mapping
Taiwei Zhang, Shaohua Pan, Ruyu Liu
This paper concerns the minimization of the sum of a twice continuously differentiable function and a nonsmooth convex function without closed-form proximal mapping. For th…
A relaxation method for binary optimizations on constrained Stiefel manifold
Lianghai Xiao, Yitian Qian, Shaohua Pan
This paper focuses on a class of binary orthogonal optimization problems frequently arising in semantic hashing. Consider that this class of problems may have an empty feasible set…
Computing one-bit compressive sensing via zero-norm regularized DC loss model and its surrogate
Kai Chen, Ling Liang, Shaohua Pan
One-bit compressed sensing is very popular in signal processing and communications due to its low storage costs and low hardware complexity, but it is a challenging task to recover…
An inexact LPA for DC composite optimization and application to matrix completions with outliers
Ting Tao, Ruyu Liu, Shaohua Pan
This paper concerns a class of DC composite optimization problems which, as an extension of convex composite optimization problems and DC programs with nonsmooth components, often…
Twice epi-differentiablity and parabolic regularity of a class of non-amenable functions
Yulan Liu, Shaohua Pan
This paper concerns the twice epi-differentiability and parabolic regularity of a class of non-amenable functions, the composition of a piecewise twice differentiable (PWTD) functi…
On the local convergence of the semismooth Newton method for composite optimization
Jiang Hu, Tonghua Tian, Shaohua Pan +1
In this paper, we consider a large class of nonlinear equations derived from first-order type methods for solving composite optimization problems. Traditional approaches to establi…