Zheng-Jian Bai

Orcid: 0000-0002-5134-3500

According to our database1, Zheng-Jian Bai authored at least 42 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Scaled Proximal Gradient Methods for Sparse Optimization Problems.
J. Sci. Comput., January, 2024

Double-variable trace maximization for extreme generalized singular quartets of a matrix pair: A geometric method.
Math. Comput., 2024

2023
A Riemannian inexact Newton dogleg method for constructing a symmetric nonnegative matrix with prescribed spectrum.
Numer. Algorithms, March, 2023

A generalized geometric spectral conjugate gradient algorithm for finding zero of a monotone tangent vector field on a constant curvature Hadamard manifold.
J. Comput. Appl. Math., 2023

2022
Geometric Inexact Newton Method for Generalized Singular Values of Grassmann Matrix Pair.
SIAM J. Matrix Anal. Appl., 2022

A Columnwise Update Algorithm for Sparse Stochastic Matrix Factorization.
SIAM J. Matrix Anal. Appl., 2022

Effective Medium Theory for Embedded Obstacles in Elasticity with Applications to Inverse Problems.
SIAM J. Appl. Math., 2022

A Geometric Proximal Gradient Method for Sparse Least Squares Regression with Probabilistic Simplex Constraint.
J. Sci. Comput., 2022

Randomized Quaternion QLP Decomposition for Low-Rank Approximation.
J. Sci. Comput., 2022

A mixed precision Jacobi method for the symmetric eigenvalue problem.
CoRR, 2022

A modified orthogonal matching pursuit for construction of sparse probabilistic boolean networks.
Appl. Math. Comput., 2022

2021
Penalized -regression-based bicluster localization.
Pattern Recognit., 2021

Condition numbers for the truncated total least squares problem and their estimations.
Numer. Linear Algebra Appl., 2021

A Riemannian inexact Newton-CG method for stochastic inverse singular value problems.
Numer. Linear Algebra Appl., 2021

A Riemannian derivative-free Polak-Ribiére-Polyak method for tangent vector field.
Numer. Algorithms, 2021

A Row-Wise Update Algorithm for Sparse Stochastic Matrix Factorization.
CoRR, 2021

2020
Single-pass randomized QLP decomposition for low-rank approximation.
CoRR, 2020

A Modified Orthogonal Matching Pursuit for Construction of Sparse Probabilistic Boolean Networks.
CoRR, 2020

Riemannian Newton-CG Methods for Constructing a Positive Doubly Stochastic Matrix From Spectral Data.
CoRR, 2020

New Formulation and Computation for Generalized Singular Values of Grassman Matrix Pair.
CoRR, 2020

2019
A Riemannian variant of the Fletcher-Reeves conjugate gradient method for stochastic inverse eigenvalue problems with partial eigendata.
Numer. Linear Algebra Appl., 2019

2018
A Riemannian inexact Newton-CG method for constructing a nonnegative matrix with prescribed realizable spectrum.
Numerische Mathematik, 2018

A structure-preserving Jacobi algorithm for quaternion Hermitian eigenvalue problems.
Comput. Math. Appl., 2018

A Unified Neighbor Reconstruction Method for Embeddings.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity.
BMC Medical Imaging, 2017

2016
A Geometric Nonlinear Conjugate Gradient Method for Stochastic Inverse Eigenvalue Problems.
SIAM J. Numer. Anal., 2016

A Riemannian Fletcher-Reeves Conjugate Gradient Method for Doubly Stochastic Inverse Eigenvalue Problems.
SIAM J. Matrix Anal. Appl., 2016

Discriminative Lasso.
Cogn. Comput., 2016

2015
A Riemannian Newton Algorithm for Nonlinear Eigenvalue Problems.
SIAM J. Matrix Anal. Appl., 2015

Semidefinite inverse eigenvalue problems with prescribed entries and partial eigendata.
J. Comput. Appl. Math., 2015

2013
On the alternating direction method of multipliers for nonnegative inverse eigenvalue problems with partial eigendata.
J. Comput. Appl. Math., 2013

2012
Nonnegative inverse eigenvalue problems with partial eigendata.
Numerische Mathematik, 2012

2011
An Ulm-like Method for Inverse Singular Value Problems.
SIAM J. Matrix Anal. Appl., 2011

Fast Preconditioners for Total Variation Deblurring with Antireflective Boundary Conditions.
SIAM J. Matrix Anal. Appl., 2011

2009
A smoothing Newton's method for the construction of a damped vibrating system from noisy test eigendata.
Numer. Linear Algebra Appl., 2009

2007
Computing the Nearest Doubly Stochastic Matrix with A Prescribed Entry.
SIAM J. Sci. Comput., 2007

A Dual Optimization Approach to Inverse Quadratic Eigenvalue Problems with Partial Eigenstructure.
SIAM J. Sci. Comput., 2007

On Optimal Screening and Quarantining Policy in a Network of Prisons.
Commun. Inf. Syst., 2007

2006
Inexact Newton methods for inverse eigenvalue problems.
Appl. Math. Comput., 2006

2005
The Inverse Eigenproblem of Centrosymmetric Matrices with a Submatrix Constraint and Its Approximation.
SIAM J. Matrix Anal. Appl., 2005

Principal Component Analysis for Distributed Data Sets with Updating.
Proceedings of the Advanced Parallel Processing Technologies, 6th International Workshop, 2005

2004
Inverse eigenproblem for centrosymmetric and centroskew matrices and their approximation.
Theor. Comput. Sci., 2004


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