2 citations · 3 across the 5 of their papers we have counts for
8 papers
Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing
Hui Zhang, Xin Liu, Naihua Xiu
Recently, many new challenges in Compressed Sensing (CS), such as block sparsity, arose. In this paper, we present a new algorithm for solving CS with block sparse constraints (BSC…
Linear convergence of random dual coordinate incremental aggregated gradient methods
Hui Zhang, Yu-Hong Dai, Lei Guo
In this paper, we consider the dual formulation of minimizing with the index sets and being large. To address the…
Inertial Bregman Proximal Gradient Algorithm For Nonconvex Problem with Smooth Adaptable Property
Xiaoya Zhang, Hui Zhang, Wei Peng
In this paper we study the problems of minimizing the sum of two nonconvex functions: one is differentiable and satisfies smooth adaptable property. The smooth adaptable property,…
A New Exact Worst-Case Linear Convergence Rate of the Proximal Gradient Method
Xiaoya Zhang, Hui Zhang
In this note, we establish a new exact worst-case linear convergence rate of the proximal gradient method in terms of the proximal gradient norm, which complements the recent resul…
Training GANs with Centripetal Acceleration
Wei Peng, Yuhong Dai, Hui Zhang +1
Training generative adversarial networks (GANs) often suffers from cyclic behaviors of iterates. Based on a simple intuition that the direction of centripetal acceleration of an ob…
Global Complexity Analysis of Inexact Successive Quadratic Approximation methods for Regularized Optimization under Mild Assumptions
Wei Peng, Hui Zhang, Xiaoya Zhang
Successive quadratic approximations (SQA) are numerically efficient for minimizing the sum of a smooth function and a convex function. The iteration complexity of inexact SQA metho…