Deren Han

Beihang University

*This is an algorithmically generated author record based on publicly available information.

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Research Subjects

Numerical Analysis

Research Interests

Deren Han has a total of 152 co-authors. Here are the top co-authors by number of shared publications:

Xingju Cai
School of Mathematical Sciences, Nanjing Normal University, Nanjing, People’s Republic of China
23 shared publications
Jiaxin Xie
School of Mathematical Sciences, Beihang University, Beijing, China
16 shared publications
Cairong Chen
School of Mathematics and Statistics & Key Laboratory of Analytical Mathematics and Applications (Ministry of Education) & Fujian Provincial Key Laboratory of Statistics and Artificial Intelligence & Fujian Key Laboratory of Analytical Mathematics and Applications (FJKLAMA) & Center for Applied Mathematics of Fujian Province (FJNU), Fujian Normal University, Fuzhou, People’s Republic of China
12 shared publications
Dongmei Yu
Institute for Optimization and Decision Analytics Liaoning Technical University 123000 Fuxin P.R. China
12 shared publications
Xiaoming Yuan
The University of Hong Kong
8 shared publications
Yansheng Su
School of Mathematical Sciences, Beihang University, Beijing, China
8 shared publications

Latest Publications

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- 1 October 2026
- Published by Springer Nature in Journal of Scientific Computing
A Variable Metric Douglas–Rachford Splitting Method for Nonconvex Composite Optimization
by Zehui Jia, Wenxing Zhang, Xingju Cai, Deren Han
Website
Google Scholar
- 1 October 2026
- Published by Springer Nature in Journal of Scientific Computing
A Variable Metric Douglas–Rachford Splitting Method for Nonconvex Composite Optimization
by Zehui Jia, Wenxing Zhang, Xingju Cai, Deren Han
Website
Google Scholar
- 29 August 2026
- Published by Springer Nature in Journal of Scientific Computing
The Variance Reduced Douglas-Rachford Splitting Method for Large-Scale Optimization Problems
by Zehui Jia, Denghui Li, Zhiyu Liu, Deren Han
Website
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- 29 August 2026
- Published by Springer Nature in Journal of Scientific Computing
The Variance Reduced Douglas-Rachford Splitting Method for Large-Scale Optimization Problems
by Zehui Jia, Denghui Li, Zhiyu Liu, Deren Han
Website
Google Scholar
- 20 August 2026
- Published by Springer Nature in Journal of Global Optimization
A distributed method hybridizing fully symmetric Peaceman–Rachford regularization with sequential quadratic programming for nonconvex-nonsmooth multi-block optimization
by Jinbao Jian, Zhiwen Ren, Jianghua Yin, Deren Han
Website
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- 20 August 2026
- Published by Springer Nature in Journal of Global Optimization
A distributed method hybridizing fully symmetric Peaceman–Rachford regularization with sequential quadratic programming for nonconvex-nonsmooth multi-block optimization
by Jinbao Jian, Zhiwen Ren, Jianghua Yin, Deren Han
Website
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- 22 July 2026
- Published by Springer Nature in Computational Optimization and Applications
Correction: A relaxed scalable modulus-based matrix splitting method for vertical nonlinear complementarity problems
by Dongmei Yu, Huiling Wei, Cairong Chen, Deren Han
Website
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- 22 July 2026
- Published by Springer Nature in Computational Optimization and Applications
Correction: A relaxed scalable modulus-based matrix splitting method for vertical nonlinear complementarity problems
by Dongmei Yu, Huiling Wei, Cairong Chen, Deren Han
Website
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- 22 July 2026
- Published by Springer Nature in Journal of Global Optimization
An improved inertial stochastic proximal alternating linearized minimization for nonconvex optimization in machine learning
by Qingsong Wang, Deren Han
Website
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- 22 July 2026
- Published by Springer Nature in Journal of Global Optimization
An improved inertial stochastic proximal alternating linearized minimization for nonconvex optimization in machine learning
by Qingsong Wang, Deren Han
Website
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- 30 May 2026
- Published by Springer Nature in Journal of Optimization Theory and Applications
Hyperspectral Super-Resolution Via Tensor CP Decomposition with Total Variation Regularization
by Jingya Chang, Xiaofei Cui, Deren Han, Zhenyou Wang
Website
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- 30 May 2026
- Published by Springer Nature in Journal of Optimization Theory and Applications
Hyperspectral Super-Resolution Via Tensor CP Decomposition with Total Variation Regularization
by Jingya Chang, Xiaofei Cui, Deren Han, Zhenyou Wang
Open Access
Website
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- 7 May 2026
- Published by Global Science Press in Numerical Mathematics: Theory, Methods and Applications
A Resampling-Free Stochastic Projection Contraction Algorithm for Solving Stochastic Variational Inequalities
by Ting Li, Xingju Cai, Deren Han
Sampling is a major computational bottleneck in stochastic algorithms. This paper proposes a stochastic projection contraction algorithm for stochastic variational inequality problems, significantly reducing runtime by eliminating resampling in the correction step. We introduce an adjustable offset weight to optimize search direction, along with different adaptive step size strategies in prediction and correction steps. We further present discrete differential equation interpretations for specific offset weight values. To address bias due to the absence of resampling in the correction step, we develop an error control scheme and provide convergence guarantees. Numerical experiments demonstrate the algorithm’s efficiency
Website
Google Scholar
- 7 May 2026
- Published by Global Science Press in Numerical Mathematics: Theory, Methods and Applications
Open Access
A Resampling-Free Stochastic Projection Contraction Algorithm for Solving Stochastic Variational Inequalities
by Ting Li, Xingju Cai, Deren Han
Sampling is a major computational bottleneck in stochastic algorithms. This paper proposes a stochastic projection contraction algorithm for stochastic variational inequality problems, significantly reducing runtime by eliminating resampling in the correction step. We introduce an adjustable offset weight to optimize search direction, along with different adaptive step size strategies in prediction and correction steps. We further present discrete differential equation interpretations for specific offset weight values. To address bias due to the absence of resampling in the correction step, we develop an error control scheme and provide convergence guarantees. Numerical experiments demonstrate the algorithm’s efficiency
Website
Google Scholar
- 28 February 2026
- Published by Springer Nature in Science China Mathematics
An improved SDP rounding approximation algorithm for the max hypergraph bisection
by Guangfeng Li, Gregory Z. Gutin, Deren Han, Jian Sun, Xiaoyan Zhang
Website
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- 28 February 2026
- Published by Springer Nature in Science China Mathematics
An improved SDP rounding approximation algorithm for the max hypergraph bisection
by Guangfeng Li, Gregory Z. Gutin, Deren Han, Jian Sun, Xiaoyan Zhang
Website
Google Scholar
Cited by 1
- 17 February 2026
- Published by Springer Nature in Journal of Global Optimization
A Bregman ADMM for Robust Fused Lasso Estimation with Doubly Nonconvex Regularizers
by Yibao Fan, Zheng-Fen Jin, Youlin Shang, Deren Han
Website
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- 17 February 2026
- Published by Springer Nature in Journal of Global Optimization
A Bregman ADMM for Robust Fused Lasso Estimation with Doubly Nonconvex Regularizers
by Yibao Fan, Zheng-Fen Jin, Youlin Shang, Deren Han
Cited by 1
Website
Google Scholar
- 11 February 2026
- Published by Springer Nature in Journal of Optimization Theory and Applications
Revisit Iterative Complexity of Some Projection-type Methods for Monotone Linear Variational Inequality Problems
by Yongxin Chen, Xingju Cai, Deren Han
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- 11 February 2026
- Published by Springer Nature in Journal of Optimization Theory and Applications
Revisit Iterative Complexity of Some Projection-type Methods for Monotone Linear Variational Inequality Problems
by Yongxin Chen, Xingju Cai, Deren Han

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