Wen Huang

Orcid: 0000-0001-8324-2416

Affiliations:
  • Xiamen University, School of Mathematical Sciences, Fujian, China
  • Rice University, Department of Computational and Applied Mathematics, Houston, TX, USA
  • Florida State University, Tallahassee, FL, USA (PhD 2014)


According to our database1, Wen Huang authored at least 25 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Riemannian Proximal Newton Method.
SIAM J. Optim., March, 2024

2023
An inexact Riemannian proximal gradient method.
Comput. Optim. Appl., May, 2023

2022
An extension of fast iterative shrinkage-thresholding algorithm to Riemannian optimization for sparse principal component analysis.
Numer. Linear Algebra Appl., 2022

Riemannian proximal gradient methods.
Math. Program., 2022

A Limited-Memory Riemannian Symmetric Rank-One Trust-Region Method with a Restart Strategy.
J. Sci. Comput., 2022

On the analysis of optimization with fixed-rank matrices: a quotient geometric view.
CoRR, 2022

Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation.
Proceedings of the International Conference on Machine Learning, 2022

2021
Analysis of the Neighborhood Pattern Similarity Measure for the Role Extraction Problem.
SIAM J. Math. Data Sci., 2021

2020
Computing the matrix geometric mean: Riemannian versus Euclidean conditioning, implementation techniques, and a Riemannian BFGS method.
Numer. Linear Algebra Appl., 2020

Community Detection by a Riemannian Projected Proximal Gradient Method.
CoRR, 2020

2018
ROPTLIB: An Object-Oriented C++ Library for Optimization on Riemannian Manifolds.
ACM Trans. Math. Softw., 2018

A Riemannian BFGS Method Without Differentiated Retraction for Nonconvex Optimization Problems.
SIAM J. Optim., 2018

2017
Solving PhaseLift by Low-Rank Riemannian Optimization Methods for Complex Semidefinite Constraints.
SIAM J. Sci. Comput., 2017

Intrinsic representation of tangent vectors and vector transports on matrix manifolds.
Numerische Mathematik, 2017

Visualizing phylogenetic tree landscapes.
BMC Bioinform., 2017

2016
Riemannian Optimization for Registration of Curves in Elastic Shape Analysis.
J. Math. Imaging Vis., 2016

A Riemannian rank-adaptive method for low-rank optimization.
Neurocomputing, 2016

A Riemannian Limited-memory BFGS Algorithm for Computing the Matrix Geometric Mean.
Proceedings of the International Conference on Computational Science 2016, 2016

Solving PhaseLift by Low-rank Riemannian Optimization Methods.
Proceedings of the International Conference on Computational Science 2016, 2016

2015
A Broyden Class of Quasi-Newton Methods for Riemannian Optimization.
SIAM J. Optim., 2015

A Riemannian symmetric rank-one trust-region method.
Math. Program., 2015

Weakly Correlated Sparse Components with Nearly Orthonormal Loadings.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

A Riemannian approach for computing geodesies in elastic shape analysis.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Rank-constrained optimization: a Riemannian manifold approach.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

A Riemannian BFGS Method for Nonconvex Optimization Problems.
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2015, 2015


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