Hui Zhang

26 papers Journal 26
YearRankTypeTitle / Venue / Authors
2025 J jnl
Quantile-based random sparse Kaczmarz for corrupted and noisy linear systems.
Numer. Algorithms
Lu Zhang, Hongxia Wang, Hui Zhang
2022 J jnl
Bregman iterative regularization using model functions for nonconvex nonsmooth optimization.
Frontiers Appl. Math. Stat.
Haoxing Yang, Hui Zhang, Hongxia Wang, Lizhi Cheng
2022 J jnl
Extragradient and extrapolation methods with generalized Bregman distances for saddle point problems.
Oper. Res. Lett.
Hui Zhang
2022 J jnl
Inertial proximal incremental aggregated gradient method with linear convergence guarantees.
Math. Methods Oper. Res.
Xiaoya Zhang, Wei Peng, Hui Zhang
2021 J jnl
Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions.
Math. Oper. Res.
Hui Zhang, Yu-Hong Dai, Lei Guo, Wei Peng
2020 J jnl
Global complexity analysis of inexact successive quadratic approximation methods for regularized optimization under mild assumptions.
J. Glob. Optim.
Wei Peng, Hui Zhang, Xiaoya Zhang, Lizhi Cheng
2020 J jnl
New analysis of linear convergence of gradient-type methods via unifying error bound conditions.
Math. Program.
Hui Zhang
2020 J jnl
Training GANs with centripetal acceleration.
Optim. Methods Softw.
Wei Peng, Yu-Hong Dai, Hui Zhang, Lizhi Cheng
2019 J jnl
Nonconvex Proximal Incremental Aggregated Gradient Method with Linear Convergence.
J. Optim. Theory Appl.
Wei Peng, Hui Zhang, Xiaoya Zhang
2019 J jnl
Training GANs with Centripetal Acceleration.
CoRR
Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng
2017 J jnl
Projected shrinkage algorithm for box-constrained ℓ
Optim. Lett.
Hui Zhang, Lizhi Cheng
2017 J jnl
The restricted strong convexity revisited: analysis of equivalence to error bound and quadratic growth.
Optim. Lett.
Hui Zhang
2016 J jnl
One condition for solution uniqueness and robustness of both l1-synthesis and l1-analysis minimizations.
Adv. Comput. Math.
Hui Zhang, Ming Yan, Wotao Yin
2015 J jnl
Necessary and Sufficient Conditions of Solution Uniqueness in 1-Norm Minimization.
J. Optim. Theory Appl.
Hui Zhang, Wotao Yin, Lizhi Cheng
2015 J jnl
Restricted strong convexity and its applications to convergence analysis of gradient-type methods in convex optimization.
Optim. Lett.
Hui Zhang, Lizhi Cheng
2014 J jnl
Proximal linearized iteratively reweighted least squares for a class of nonconvex and nonsmooth problems.
CoRR
Hui Zhang, Tao Sun, Lizhi Cheng
2013 J jnl
A dual algorithm for a class of augmented convex models.
CoRR
Hui Zhang, Lizhi Cheng, Wotao Yin
2013 J jnl
Gradient methods for convex minimization: better rates under weaker conditions
CoRR
Hui Zhang, Wotao Yin
2013 J jnl
New bounds for circulant Johnson-Lindenstrauss embeddings.
CoRR
Hui Zhang, Lizhi Cheng
2013 J jnl
One condition for all: solution uniqueness and robustness of ℓ
CoRR
Hui Zhang, Ming Yan, Wotao Yin
2012 J jnl
A Fast Fixed Point Algorithm for Total Variation Deblurring and Segmentation.
J. Math. Imaging Vis.
Dai-Qiang Chen, Hui Zhang, Lizhi Cheng
2012 J jnl
Necessary and sufficient conditions of solution uniqueness in ℓ
CoRR
Hui Zhang, Wotao Yin, Lizhi Cheng
2012 J jnl
On the Constrained Minimal Singular Values for Sparse Signal Recovery.
IEEE Signal Process. Lett.
Hui Zhang, Lizhi Cheng
2012 J jnl
Reweighted minimization model for MR image reconstruction with split Bregman method.
Sci. China Inf. Sci.
Hui Zhang, Lizhi Cheng, Jianping Li
2011 J jnl
Strongly Convex Programming for Exact Matrix Completion and Robust Principal Component Analysis
CoRR
Hui Zhang, Jian-Feng Cai, Lizhi Cheng, Jubo Zhu
2010 J jnl
Projected Landweber iteration for matrix completion.
J. Comput. Appl. Math.
Hui Zhang, Lizhi Cheng