厦门大学数学学院师资队伍
School of Mathematical Sciences Xiamen University
师资队伍

See more at my personal webpage: https://www.math.fsu.edu/~whuang2/index.html

 

I am looking for graduate students, if you are interested, please contact me by email.

 

Wen Huang (黄文)

Personal Information

Professor

School of Mathematical Sciences

Xiamen University

TEL: 0592-2580070

Email: wen.huang at xmu dot edu dot cn

 

Education

2011.09-2014.05      Florida State University                                               Ph.D. in Applied and Computational Mathematics

2008.08-2011.08      Florida State University                                               M. S. in Applied and Computational Mathematics

2003.09-2007.07      University of Science and Techonology of China        B. S. in Information and Scientific Computing

 

Experience

2020.11-Present      Xiamen University (China)                                                     Professor

2018.09-2020.11     Xiamen University (China)                                                     Associate Professor

2016.07-2018.06     Rice University (USA)                                                            Pfeiffer Postdoctoral Instructor

2014.09-2016.06     Université catholique de Louvain (Belgium)                           Postdoctoral Fellow

2004.05-2014.08     Florida State University (USA)                                               Postdoctoral Fellow

2007.07-2008.07     G-bits Network Technology Co., Ltd (China)                         Game Designer for Numerical System

 

Selected Publications

Wen Huang*, Ke Wei*. "Riemannian Proximal Gradient Methods", Mathematical Programming Series A, accepted.

Wen Huang*, Paul Hand, Reinhard Heckel, Vladislav Voroninski. "A Provably Convergent Scheme for Compressive Sensing under Random Generative Priors", Journal of Fourier Analysis and Applications, accepted.

Chafik Samir*, Wen Huang*. "Coordinate Descent Optimization for One-to-One Correspondence with Applications to Supervised Classification of 3D Shapes", Applied Mathematics and Computation, accepted.

Xinru Yuan, Wen Huang*, P.-A. Absil, K. A. Gallivan. "Computing the matrix geometric mean: Riemannian vs Euclidean conditioning, implementation techniques, and a Riemannian BFGS method", Numerical Linear Algebra with Applications, 27:5, 1-23, 2020.

Sean Martin, Andrew M. Raim, Wen Huang, Kofi P. Adragni*. "ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization", Journal of Statistical Software, 93:1, pp. 1-32, 2020.

Wen Huang*, Paul Hand. "Blind Deconvolution by a Steepest Descent Algorithm on a Quotient Manifold", SIAM Journal on Imaging Sciences, 11:4, pp. 2757-2785, 2018.

Wen Huang*, P.-A. Absil, Kyle Gallivan, Paul Hand. "ROPTLIB: an object-oriented C++ library for optimization on Riemannian manifolds", ACM Transactions on Mathematical Software, 44:4, pp. 43:1-43:21, 2018.

Somayeh Hosseini, Wen Huang*, Roholla Yousefpour. "Line Search Algorithms for Locally Lipschitz Functions on Riemannian Manifolds", SIAM Journal on Optimization, 28(1), pp. 596-619, 2018.

Wen Huang*, P.-A. Absil, Kyle Gallivan. "A Riemannian BFGS Method without Differentiated Retraction for Nonconvex Optimization Problems", SIAM Journal on Optimization, 28:1, pp. 470-495, 2018.

Wen Huang*, Kyle A. Gallivan, Xiangxiong Zhang. "Solving PhaseLift by low-rank Riemannian optimization methods for complex semidefinite constraints", SIAM Journal on Scientific Computing, 39:5, pp. B840-B859, 2017.

Jim Wilgenbusch*, Wen Huang, Kyle A. Gallivan. "Visualizing Phylogenetic Tree Landscapes", BMC Bioinformatics, 18:85, DOI:10.1186/s12859-017-1479-1, 2017.

Wen Huang*, P.-A. Absil, Kyle Gallivan. "Intrinsic Representation of Tangent Vectors and Vector Transport on Matrix Manifolds", Numerische Mathematik, 136:2, p.523-543, DOI:10.1007/s00211-016-0848-4, October, 2017.

Wen Huang*, Guifang Zhou, Melissa Merchand, Jeremy Ash, Paul Van Dooren, Jeremy M. Brown, Kyle A. Gallivan, Jim Wilgenbush. "TreeScaper: visualizing and extracting phylogenetic signal from sets of trees", Molecular Biology and Evolution, 33(12):3314-3316 DOI:10.1093/molbev/msw196, 2016.

Guifang Zhou, Wen Huang, Kyle Gallivan, Paul Van Dooren, P.-A. Absil*. "A Riemannian rank-adaptive method for low-rank optimization", Neurocomputing, 192, 72-80, June 2016.

Wen Huang*, Kyle A. Gallivan, Anuj Srivastava, Pierre-Antoine Absil. "Riemannian Optimization for Registration of Curves in Elastic Shape Analysis", Journal of Mathematical Imaging and Vision, 54(3), 320-343, 2016.

Wen Huang*, Kyle A. Gallivan, Pierre-Antoine Absil. "A Broyden Class of Quasi-Newton Methods for Riemannian Optimization", SIAM Journal on Optimization, 25:3, pp. 1660-1685, 2015.

Wen Huang, Pierre-Antoine Absil*, Kyle A. Gallivan. "A Riemannian symmetric rank-one trust-region method", Mathematical Programming Series A, 150:2, pp. 179-216, 2015.

 

 

 
 
 
简介
 
系别:
信息与计算数学系
办公室:厦大海韵园物机楼604
教师:黄文
职称:教授
职务:教师
Phone:0592-2580070
Email:
wen.huang@xmu.edu.cn
研究方向:
流形上的优化算法及其应用,包括信号处理,图像处理,数值代数,机器学习,深度学习等