Zaiwen Wen

Zaiwen Wen

Peking University

H-index: 30

Asia-China

About Zaiwen Wen

Zaiwen Wen, With an exceptional h-index of 30 and a recent h-index of 24 (since 2020), a distinguished researcher at Peking University, specializes in the field of Optimization, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Riemannian natural gradient methods

Oracle complexity of augmented Lagrangian methods for nonsmooth manifold optimization

Formalization of Complexity Analysis of the First-order Optimization Algorithms

A decomposition augmented lagrangian method for low-rank semidefinite programming

A stochastic composite augmented Lagrangian method for reinforcement learning

Sharper Convergence Guarantees for Federated Learning with Partial Model Personalization

An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization

Decoding LDPC Codes By Using Negative Proximal Regularization

Zaiwen Wen Information

University

Position

___

Citations(all)

5506

Citations(since 2020)

2830

Cited By

3964

hIndex(all)

30

hIndex(since 2020)

24

i10Index(all)

48

i10Index(since 2020)

42

Email

University Profile Page

Peking University

Google Scholar

View Google Scholar Profile

Zaiwen Wen Skills & Research Interests

Optimization

Machine Learning

Top articles of Zaiwen Wen

Title

Journal

Author(s)

Publication Date

Riemannian natural gradient methods

SIAM Journal on Scientific Computing

Jiang Hu

Ruicheng Ao

Anthony Man-Cho So

Minghan Yang

Zaiwen Wen

2024/2/29

Oracle complexity of augmented Lagrangian methods for nonsmooth manifold optimization

arXiv preprint arXiv:2404.05121

Kangkang Deng

Jiang Hu

Zaiwen Wen

2024/4/8

Formalization of Complexity Analysis of the First-order Optimization Algorithms

arXiv preprint arXiv:2403.11437

Chenyi Li

Ziyu Wang

Wanyi He

Yuxuan Wu

Zaiwen Wen

2024/3/18

A decomposition augmented lagrangian method for low-rank semidefinite programming

SIAM Journal on Optimization

Yifei Wang

Kangkang Deng

Haoyang Liu

Zaiwen Wen

2023/9/30

A stochastic composite augmented Lagrangian method for reinforcement learning

SIAM Journal on Optimization

Yongfeng Li

Mingming Zhao

Weijie Chen

Zaiwen Wen

2023/6/30

Sharper Convergence Guarantees for Federated Learning with Partial Model Personalization

arXiv preprint arXiv:2309.17409

Yiming Chen

Liyuan Cao

Kun Yuan

Zaiwen Wen

2023/9/29

An Augmented Lagrangian Primal-Dual Semismooth Newton Method for Multi-Block Composite Optimization

arXiv preprint arXiv:2312.01273

Zhanwang Deng

Kangkang Deng

Jiang Hu

Zaiwen Wen

2023/12/3

Decoding LDPC Codes By Using Negative Proximal Regularization

IEEE Transactions on Communications

Yiming Chen

Rui Wang

Jinglong Zhu

Zaiwen Wen

2023/5/9

On the Optimal Lower and Upper Complexity Bounds for a Class of Composite Optimization Problems

arXiv preprint arXiv:2308.06470

Zhenyuan Zhu

Fan Chen

Junyu Zhang

Zaiwen Wen

2023/8/12

A unified primal-dual algorithm framework for inequality constrained problems

Journal of Scientific Computing

Zhenyuan Zhu

Fan Chen

Junyu Zhang

Zaiwen Wen

2023/11

Provable Convergence of Variational Monte Carlo Methods

arXiv preprint arXiv:2303.10599

Tianyou Li

Fan Chen

Huajie Chen

Zaiwen Wen

2023/3/19

LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition

Yu Zhang

Yifan Chen

Zhonglin Xie

Hong Xu

Zaiwen Wen

...

2023/7/9

An entropy-regularized ADMM for binary quadratic programming

Journal of Global Optimization

Haoming Liu

Kangkang Deng

Haoyang Liu

Zaiwen Wen

2023/11

An exact penalty approach for optimization with nonnegative orthogonality constraints

Mathematical Programming

Bo Jiang

Xiang Meng

Zaiwen Wen

Xiaojun Chen

2023/3

Monte carlo policy gradient method for binary optimization

arXiv preprint arXiv:2307.00783

Cheng Chen

Ruitao Chen

Tianyou Li

Ruichen Ao

Zaiwen Wen

2023/7/3

Stronger Mixed-Size Placement Backbone Considering Second-Order Information

Yifan Chen

Zaiwen Wen

Yun Liang

Yibo Lin

2023/10/28

Provably Efficient Gauss-Newton Temporal Difference Learning Method with Function Approximation

arXiv preprint arXiv:2302.13087

Zhifa Ke

Zaiwen Wen

Junyu Zhang

2023/2/25

The Error in Multivariate Linear Extrapolation with Applications to Derivative-Free Optimization

arXiv preprint arXiv:2307.00358

Liyuan Cao

Zaiwen Wen

Ya-xiang Yuan

2023/7/1

Pure State v-Representability of Density Matrix Embedding Theory

Journal of Chemical Theory and Computation

Fabian M Faulstich

Raehyun Kim

Zhi-Hao Cui

Zaiwen Wen

Garnet Kin-Lic Chan

...

2022/1/27

Sketch-based empirical natural gradient methods for deep learning

Journal of Scientific Computing

Minghan Yang

Dong Xu

Zaiwen Wen

Mengyun Chen

Pengxiang Xu

2022/9

See List of Professors in Zaiwen Wen University(Peking University)

Co-Authors

H-index: 80
Wotao Yin

Wotao Yin

University of California, Los Angeles

H-index: 58
Donald Goldfarb

Donald Goldfarb

Columbia University in the City of New York

H-index: 28
Michael Ulbrich

Michael Ulbrich

Technische Universität München

H-index: 8
Bo Jiang  (姜波)

Bo Jiang (姜波)

Nanjing Normal University

H-index: 5
Jiang Hu

Jiang Hu

Peking University

H-index: 4
Minghan Yang

Minghan Yang

Peking University

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