张海斌｜北京工业大学｜学者主页

2023

Convergence analysis of generalized ADMM with majorization for linearly constrained composite convex optimization

Hongwu Li, Haibin Zhang, Yunhai Xiao, Peili Li

Optimization Letters

DOI

2023

A Tight Bound of Modified Iterative Hard Thresholding Algorithm for Compressed Sensing

Jinyao Ma, Haibin Zhang, Shan-Shan Yang, Jiao-Jiao Jiang

Applied Mathematics

DOI

2023

Recent Advances in Stochastic Gradient Descent in Deep Learning

Ying-Jie Tian, Yu-Qi Zhang, Haibin Zhang

Mathematics

DOI

2021

An inertial Douglas–Rachford splitting algorithm for nonconvex and nonsmooth problems

Junkai Feng, Haibin Zhang, Kaili Zhang, Pengfei Zhao

Concurrency and Computation

DOI

2021

Efficient dual ADMMs for sparse compressive sensing MRI reconstruction

Yan-Yun Ding, Pei-Heng Li, Yun-Hai Xiao, Haibin Zhang

Mathematical Methods of Operations Research

DOI

2021

A Novel Adaptive Differential Privacy Algorithm for Empirical Risk Minimization

Kaili Zhang, Haibin Zhang, Pengfei Zhao, Hai-Bin Chen

Asia Pac. J. Oper. Res.

DOI

2021

An efficient semismooth Newton method for adaptive sparse signal recovery problems

Yan-Yun Ding, Haibin Zhang, Pei-Heng Li, Yun-Hai Xiao

Optim. Methods Softw.

DOI

2020

凸优化理论与算法

张海斌

2020

The Analysis of Alternating Minimization Method for Double Sparsity Constrained Optimization Problem

Huan Gao, Yingyi Li, Haibin Zhang

Asia Pacific Journal of Operational Research

DOI

2020

A Modified Nonlinear Conjugate Gradient Algorithm for Large-Scale Nonsmooth Convex Optimization

Tsegay Giday Woldu, Haibin Zhang, Xin Zhang, Yemane Hailu Fissuh

Journal of Optimization Theory and Applications

DOI

2020

A Scaled Conjugate Gradient Method Based on New BFGS Secant Equation with Modified Nonmonotone Line Search

Tsegay Giday Woldu, Haibin Zhang, Yemane Hailu Fissuh

American Journal of Computational Mathematics

DOI

2020

Sparse multiple instance learning with non-convex penalty

Yu-Qi Zhang, Haibin Zhang, Ying-Jie Tian

Neurocomputing

DOI

2019

A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems

Kai Tu, Haibin Zhang, Huan Gao, Junkai Feng

Journal of Global Optimization

DOI

2019

An iterative scheme for testing the positive definiteness of multivariate homogeneous forms*

Kaili Zhang, Haibin Zhang, Pengfei Zhao, Xueyong Wang

International Journal of Computational Mathematics

DOI

2018

邓乃扬先生简介

徐大川，张海斌，田英杰

《运筹学学报(中英文)》

2018

种求解非线性无约束优化问题的充分下降的共轭梯度法

Tsegay Giday Woldu, 张海斌, 张鑫, 张芳

《运筹学学报(中英文)》

2018

解一类结构变分不等式问题的非精确并行交替方向法

冯俊锴，张海斌，秦嫒，张凯丽

《运筹学学报(中英文)》

2018

Proximal gradient method with automatic selection of the parameter by automatic differentiation

Yingyi Li, Haibin Zhang, Zhi-Bao Li, Huan Gao

Optim. Methods Softw.

DOI

2018

A Modified Proximal Gradient Method for a Class of Sparse Optimization Problems

Yingyi Li, Haibin Zhang, Rong Zhang

International Journal of Reliability, Quality and Safety Engineering (IJRQSE)

DOI

2018

On Globally Q-Linear Convergence of a Splitting Method for Group Lasso

Yun-Da Dong, Haibin Zhang, Huan Gao

DOI

2017

A Modified Proximal Gradient Method for a Family of Nonsmooth Convex Optimization Problems

Yingyi Li, Haibin Zhang, Fei Li

Journal of the Operations Research Society of China

DOI

2017

Optimality analysis on partial $$l_1$$ l 1 -minimization recovery

Huan Gao, Zhang Haibin, Zhibao Li, Kai Tu

Journal of Global Optimization

DOI

2016

自动微分方法与最优化

张海斌

2016

A fast continuous method for the extreme eigenvalue problem

Huan Gao, Zhi-Bao Li, Haibin Zhang

DOI

2015

离散椭球分布下两阶段WCVaR风险利润优化模型及应用

张海斌，高欢童小娇张海斌

《运筹与管理》，Vol. 24, No. 2

下载原文

2015

A nonmonotone inexact Newton method for unconstrained optimization

Huan Gao, Haibin Zhang, Zhi-Bao Li, E. M. Tadjouddine

Optimization Letters

DOI

2015

Convergence Analysis of L-ADMM for Multi-block Linear-Constrained Separable Convex Minimization Problem

Junkai Feng, Haibin Zhang, Cao-Zong Cheng, Huimin Pei

Journal of the Operations Research Society of China

DOI

2014

A Linearized Alternating Direction Method of Multipliers with Substitution Procedure

Miantao Chao, Cao-zong Cheng, Haibin Zhang

Asia Pacific Journal of Operational Research

DOI

2014

On the proximal Landweber Newton method for a class of nonsmooth convex problems

Haibin Zhang, Jiaojiao Jiang, Yun-Bin Zhao

Computational Optimization and Applications

DOI

2014

A proximal classifier with positive and negative local regions

Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Haibin Zhang, Nai-Yang Deng

Neurocomputing

DOI

2013

On the Linear Convergence of a Proximal Gradient Method for a Class of Nonsmooth Convex Minimization Problems

Haibin Zhang, Jiaojiao Jiang, Zhi-Quan Tom Luo

Journal of the Operations Research Society of China

DOI

2013

On proximal gradient method for the convex problems regularized with the group reproducing kernel norm

Haibin Zhang, Juan Wei, Meixia Li, Jie Zhou, Miantao Chao

Journal of Global Optimization

DOI

2012

Fast Local Learning Regularized Nonnegative Matrix Factorization

Jiao-Jiao Jiang, Haibin Zhang, Y. Xue

DOI

2010

The Inexact Newton Method with Semi Automatic Differentiation

Haibin Zhang, Jiao-Jiao Jiang

2010 Third International Symposium on Information Processing

DOI

2010

Multiplicative Update for Projective Nonnegative Matrix Factorization with Bregman Divergence

Jiao-Jiao Jiang, Haibin Zhang

2010 Third International Symposium on Information Processing

DOI

2009

自动微分的原理和方法

程强，张海斌，王斌

《计算数学》

2009

Original Halley Method and its Improvement with Automatic Differentiation

Haibin Zhang, Lizhen Zhang, Sen Zhang

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery

DOI

2008

Computing the High Order Derivatives with Automatic Differentiation and Its Application in Chebyshev's Method

Haibin Zhang, Y. Xue, Chunhua Zhang, Li-Li Dong

2008 Fourth International Conference on Natural Computation

DOI

2007

使用自动微分的分类算法

张海斌，王美

《北京工业大学学报》

2007

An improved inexact Newton method

Haibin Zhang, Nai-Yang Deng

Journal of Global Optimization

DOI

2007

An Efficient Version on a New Improved Method of Tangent Hyperbolas

Haibin Zhang, Qiang Cheng, Y. Xue, Nai-Yang Deng

Life System Modeling and Simulation

DOI

2005

自动微分的基本思想与实现

张海斌，薛毅

《北京工业大学学报》

2004

Theoretical efficiency of a new inexact method of tangent hyperbolas

Nai-Yang Deng, Haibin Zhang

Optim. Methods Softw.

DOI

2003

应用自动微分的Newton-PCG算法(英文)

张海斌，钟萍，张春华

《运筹学学报(中英文)》

2002

应用自动微分的非精确牛顿方法及其推广

张海斌

《中国农业大学》

2001

应用自动微分技术的CF-PCG方法及其效率分析

张海斌

《中国农业大学学报》

2001

关于CF-PCG算法参数的研究

张海斌，薛毅

《北京工业大学学报》

2001

Further improvement of the Newton-PCG algorithm with automatic differentiation

Nai-Yang Deng, Haibin Zhang, Chunhua Zhang

DOI

1999

基于新拟牛顿方程的拟牛顿法的全局收敛性分析

邓乃扬，薛毅，张海斌

《北京工业大学学报》

1999

一维优化问题的一族二阶收敛算法

张海斌，薛毅

《北京工业大学学报》

精选作品

期刊论文

Convergence analysis of generalized ADMM with majorization for linearly constrained composite convex optimization

A Tight Bound of Modified Iterative Hard Thresholding Algorithm for Compressed Sensing

Recent Advances in Stochastic Gradient Descent in Deep Learning

An inertial Douglas–Rachford splitting algorithm for nonconvex and nonsmooth problems

Efficient dual ADMMs for sparse compressive sensing MRI reconstruction

A Novel Adaptive Differential Privacy Algorithm for Empirical Risk Minimization

An efficient semismooth Newton method for adaptive sparse signal recovery problems

凸优化理论与算法

The Analysis of Alternating Minimization Method for Double Sparsity Constrained Optimization Problem

A Modified Nonlinear Conjugate Gradient Algorithm for Large-Scale Nonsmooth Convex Optimization

A Scaled Conjugate Gradient Method Based on New BFGS Secant Equation with Modified Nonmonotone Line Search

Sparse multiple instance learning with non-convex penalty

A hybrid Bregman alternating direction method of multipliers for the linearly constrained difference-of-convex problems

An iterative scheme for testing the positive definiteness of multivariate homogeneous forms*

邓乃扬先生简介

种求解非线性无约束优化问题的充分下降的共轭梯度法

解一类结构变分不等式问题的非精确并行交替方向法

Proximal gradient method with automatic selection of the parameter by automatic differentiation

A Modified Proximal Gradient Method for a Class of Sparse Optimization Problems

On Globally Q-Linear Convergence of a Splitting Method for Group Lasso

A Modified Proximal Gradient Method for a Family of Nonsmooth Convex Optimization Problems

Optimality analysis on partial $$l_1$$ l 1 -minimization recovery

自动微分方法与最优化

A fast continuous method for the extreme eigenvalue problem

离散椭球分布下两阶段WCVaR风险利润优化模型及应用

A nonmonotone inexact Newton method for unconstrained optimization

Convergence Analysis of L-ADMM for Multi-block Linear-Constrained Separable Convex Minimization Problem

A Linearized Alternating Direction Method of Multipliers with Substitution Procedure

On the proximal Landweber Newton method for a class of nonsmooth convex problems

A proximal classifier with positive and negative local regions

On the Linear Convergence of a Proximal Gradient Method for a Class of Nonsmooth Convex Minimization Problems

On proximal gradient method for the convex problems regularized with the group reproducing kernel norm

Fast Local Learning Regularized Nonnegative Matrix Factorization

The Inexact Newton Method with Semi Automatic Differentiation

Multiplicative Update for Projective Nonnegative Matrix Factorization with Bregman Divergence

自动微分的原理和方法

Original Halley Method and its Improvement with Automatic Differentiation

Computing the High Order Derivatives with Automatic Differentiation and Its Application in Chebyshev's Method

使用自动微分的分类算法

An improved inexact Newton method

An Efficient Version on a New Improved Method of Tangent Hyperbolas

自动微分的基本思想与实现

Theoretical efficiency of a new inexact method of tangent hyperbolas

应用自动微分的Newton-PCG算法(英文)

应用自动微分的非精确牛顿方法及其推广

应用自动微分技术的CF-PCG方法及其效率分析

关于CF-PCG算法参数的研究

Further improvement of the Newton-PCG algorithm with automatic differentiation

基于新拟牛顿方程的拟牛顿法的全局收敛性分析

一维优化问题的一族二阶收敛算法

会议论文

A Novel Monotonic Fixed-Point Algorithm for l1-Regularized Least Square Vector and Matrix Problem

研究方向