Hui Zhang

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 8

Top Topics

Gradient Method

Mild Assumptions

Reweighted Least Squares

Convex Optimization

Top Venues

Oper. Res. Lett.

J. Optim. Theory Appl.

Publications

Xiaoya Zhang, Wei Peng, Hui Zhang
Inertial proximal incremental aggregated gradient method with linear convergence guarantees. Math. Methods Oper. Res. 96 (2) (2022)
Hui Zhang
Extragradient and extrapolation methods with generalized Bregman distances for saddle point problems. Oper. Res. Lett. 50 (3) (2022)
Hui Zhang, Yu-Hong Dai, Lei Guo, Wei Peng
Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions. Math. Oper. Res. 46 (1) (2021)
Wei Peng, Hui Zhang, Xiaoya Zhang, Lizhi Cheng
Global complexity analysis of inexact successive quadratic approximation methods for regularized optimization under mild assumptions. J. Glob. Optim. 78 (1) (2020)
Wei Peng, Yu-Hong Dai, Hui Zhang, Lizhi Cheng
Training GANs with centripetal acceleration. Optim. Methods Softw. 35 (5) (2020)
Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng
Training GANs with Centripetal Acceleration. CoRR (2019)
Hui Zhang, Lizhi Cheng
-minimization. Optim. Lett. 11 (1) (2017)
Hui Zhang, Ming Yan, Wotao Yin
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations. Adv. Comput. Math. 42 (6) (2016)
Hui Zhang, Lizhi Cheng
Restricted strong convexity and its applications to convergence analysis of gradient-type methods in convex optimization. Optim. Lett. 9 (5) (2015)
Hui Zhang, Wotao Yin, Lizhi Cheng
Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization. J. Optim. Theory Appl. 164 (1) (2015)
Hui Zhang, Tao Sun, Lizhi Cheng
Proximal linearized iteratively reweighted least squares for a class of nonconvex and nonsmooth problems. CoRR (2014)
Hui Zhang, Ming Yan, Wotao Yin
-analysis minimizations CoRR (2013)
Hui Zhang, Lizhi Cheng, Wotao Yin
A dual algorithm for a class of augmented convex models. CoRR (2013)
Hui Zhang, Wotao Yin
Gradient methods for convex minimization: better rates under weaker conditions CoRR (2013)
Hui Zhang, Lizhi Cheng
New bounds for circulant Johnson-Lindenstrauss embeddings. CoRR (2013)
Hui Zhang, Lizhi Cheng
On the Constrained Minimal Singular Values for Sparse Signal Recovery. IEEE Signal Process. Lett. 19 (8) (2012)
Hui Zhang, Lizhi Cheng, Jianping Li
Reweighted minimization model for MR image reconstruction with split Bregman method. Sci. China Inf. Sci. 55 (9) (2012)
Dai-Qiang Chen, Hui Zhang, Lizhi Cheng
A Fast Fixed Point Algorithm for Total Variation Deblurring and Segmentation. J. Math. Imaging Vis. 43 (3) (2012)
Hui Zhang, Wotao Yin, Lizhi Cheng
minimization CoRR (2012)
Hui Zhang, Jian-Feng Cai, Lizhi Cheng, Jubo Zhu
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis CoRR (2011)