Wen Huang

Wen Huang

Xiamen University

H-index: 18

Asia-China

About Wen Huang

Wen Huang, With an exceptional h-index of 18 and a recent h-index of 17 (since 2020), a distinguished researcher at Xiamen University, specializes in the field of Riemannian Optimization, Shape analysis, Phase Retrieval, Blind Deconvolution, Nonlinear Dimension Reduction.

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

Federated Learning on Riemannian Manifolds with Differential Privacy

A Riemannian proximal Newton method

Recursive importance sketching for rank constrained least squares: Algorithms and high-order convergence

An image inpainting algorithm using exemplar matching and low-rank sparse prior

An inexact Riemannian proximal gradient method

An operator-splitting optimization approach for phase-field simulation of equilibrium shapes of crystals

An increasing rank Riemannian method for generalized Lyapunov equations

Riemannian Trust Region Methods for SC Minimization

Wen Huang Information

University

Position

___

Citations(all)

1142

Citations(since 2020)

864

Cited By

612

hIndex(all)

18

hIndex(since 2020)

17

i10Index(all)

26

i10Index(since 2020)

23

Email

University Profile Page

Xiamen University

Google Scholar

View Google Scholar Profile

Wen Huang Skills & Research Interests

Riemannian Optimization

Shape analysis

Phase Retrieval

Blind Deconvolution

Nonlinear Dimension Reduction

Top articles of Wen Huang

Title

Journal

Author(s)

Publication Date

Federated Learning on Riemannian Manifolds with Differential Privacy

arXiv preprint arXiv:2404.10029

Zhenwei Huang

Wen Huang

Pratik Jawanpuria

Bamdev Mishra

2024/4/15

A Riemannian proximal Newton method

SIAM Journal on Optimization

Wutao Si

P-A Absil

Wen Huang

Rujun Jiang

Simon Vary

2024/3/31

Recursive importance sketching for rank constrained least squares: Algorithms and high-order convergence

Operations Research

Yuetian Luo

Wen Huang

Xudong Li

Anru Zhang

2024/1

An image inpainting algorithm using exemplar matching and low-rank sparse prior

Inverse Problems

Qiangwei Peng

Wen Huang

2023/11/27

An inexact Riemannian proximal gradient method

Computational Optimization and Applications

Wen Huang

Ke Wei

2023/5

An operator-splitting optimization approach for phase-field simulation of equilibrium shapes of crystals

arXiv preprint arXiv:2311.02955

Zeyu Zhou

Wen Huang

Wei Jiang

Zhen Zhang

2023/11/6

An increasing rank Riemannian method for generalized Lyapunov equations

arXiv preprint arXiv:2308.00213

Zhenwei Huang

Wen Huang

2023/8/1

Riemannian Trust Region Methods for SC Minimization

arXiv preprint arXiv:2307.00490

Chenyu Zhang

Rufeng Xiao

Wen Huang

Rujun Jiang

2023/7/2

Riemannian proximal gradient methods

Mathematical Programming

Wen Huang

Ke Wei

2022/7

Solving stackelberg prediction game with least squares loss via spherically constrained least squares reformulation

Jiali Wang

Wen Huang

Rujun Jiang

Xudong Li

Alex L Wang

2022/6/28

Proximal gradient method for nonconvex and nonsmooth optimization on Hadamard manifolds

Optimization Letters

Shuailing Feng

Wen Huang

Lele Song

Shihui Ying

Tieyong Zeng

2022/11

Riemannian optimization using three different metrics for Hermitian PSD fixed-rank constraints: an extended version

arXiv preprint arXiv:2204.07830

Shixin Zheng

Wen Huang

Bart Vandereycken

Xiangxiong Zhang

2022/4/16

A limited-memory Riemannian symmetric rank-one trust-region method with a restart strategy

Journal of Scientific Computing

Wen Huang

Kyle A Gallivan

2022/10

On the analysis of optimization with fixed-rank matrices: a quotient geometric view

arXiv preprint arXiv:2203.06765

Shuyu Dong

Bin Gao

Wen Huang

Kyle A Gallivan

2022/3/13

Tensor completion via tensor train based low-rank quotient geometry under a preconditioned metric

arXiv preprint arXiv:2209.04786

Jian-Feng Cai

Wen Huang

Haifeng Wang

Ke Wei

2022/9/11

A Riemannian optimization approach to clustering problems

arXiv preprint arXiv:2208.03858

Wen Huang

Meng Wei

Kyle A Gallivan

Paul Van Dooren

2022/8/8

A provably convergent scheme for compressive sensing under random generative priors

Journal of Fourier Analysis and Applications

Wen Huang

Paul Hand

Reinhard Heckel

Vladislav Voroninski

2021/4

Heuristics for optimization with nonnegativity constraints using ideas from Riemannian optimization

IFAC-PapersOnLine

Wen Huang

2021/1/1

Analysis of the neighborhood pattern similarity measure for the role extraction problem

SIAM Journal on Mathematics of Data Science

Melissa Marchand

Kyle Gallivan

Wen Huang

Paul Van Dooren

2021

Community Detection by a Riemannian Projected Proximal Gradient Method

IFAC-PapersOnLine

Meng Wei

Wen Huang

Kyle A Gallivan

Paul Van Dooren

2021/1/1

See List of Professors in Wen Huang University(Xiamen University)

Co-Authors

H-index: 69
Paul Van Dooren

Paul Van Dooren

Université Catholique de Louvain

H-index: 61
Anuj Srivastava

Anuj Srivastava

Florida State University

H-index: 46
P.-A. Absil

P.-A. Absil

Université Catholique de Louvain

H-index: 21
Jeremy M. Brown

Jeremy M. Brown

Louisiana State University

H-index: 21
Xiangxiong Zhang

Xiangxiong Zhang

Purdue University

H-index: 11
Seyedehsomayeh Hosseini

Seyedehsomayeh Hosseini

Rheinische Friedrich-Wilhelms-Universität Bonn

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