Zhenyue Zhang

Orcid: 0000-0002-2485-7004

According to our database1, Zhenyue Zhang authored at least 49 papers between 1998 and 2022.

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

Timeline

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Bibliography

2022
Graph Refinement via Simultaneously Low-Rank and Sparse Approximation.
SIAM J. Sci. Comput., 2022

Convergence Analysis of Discrete Conformal Transformation.
CoRR, 2022

Stable Discrete Minimization of Conformal Energy for Disk Conformal Parameterization.
CoRR, 2022

A Modified Nonlinear Conjugate Gradient Algorithm for Functions with Non-Lipschitz Gradient.
CoRR, 2022

2021
A Two-Phase Algorithm for Robust Symmetric Non-Negative Matrix Factorization.
Symmetry, 2021

2019
Scalable Feedback of Spectral Projection for Subspace Learning.
IEEE Signal Process. Lett., 2019

Semi-Supervised Domain Adaptation by Covariance Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Minimal Sample Subspace Learning: Theory and Algorithms.
J. Mach. Learn. Res., 2019

${\ell}_{1/2}$ -Regularization-Based Super-Resolution Sparse Channel Estimation for MmWave Massive MIMO Systems.
IEEE Access, 2019

2018
Rank-sparsity balanced representation for subspace clustering.
Mach. Vis. Appl., 2018

ℓ1/2-Regularization Based Sparse Channel Estimation for MmWave Massive MIMO Systems.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

An Adaptive Iteratively Weighted Half Thresholding Algorithm for Image Compressive Sensing Reconstruction.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
Uniform Projection for Multi-View Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Principal Boundary on Riemannian Manifolds.
CoRR, 2017

2016
A local convex method for rank-sparsity factorization.
Pattern Recognit. Lett., 2016

Jointly sparse neighborhood graph for multi-view manifold clustering.
Neurocomputing, 2016

2013
Low-Rank Matrix Approximation with Manifold Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012
Adaptive Manifold Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Inducible regularization for low-rank matrix factorizations for collaborative filtering.
Neurocomputing, 2012

2011
Locally affine patch mapping and global refinement for image super-resolution.
Pattern Recognit., 2011

2010
A Modified Nonlinear Inexact Uzawa Algorithm with a Variable Relaxation Parameter for the Stabilized Saddle Point Problem.
SIAM J. Matrix Anal. Appl., 2010

Nonlinear embedding preserving multiple local-linearities.
Pattern Recognit., 2010

Successively alternate least square for low-rank matrix factorization with bounded missing data.
Comput. Vis. Image Underst., 2010

2009
Spectral Properties of the Alignment Matrices in Manifold Learning.
SIAM Rev., 2009

Supervised locally linear embedding with probability-based distance for classification.
Comput. Math. Appl., 2009

2008
Spectral methods for semi-supervised manifold learning.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Stability and Fast Algorithms of Incomplete LU Factorization with Zero-Fill for Nine-Diagonal Matrices.
SIAM J. Matrix Anal. Appl., 2007

Continuum Isomap for manifold learnings.
Comput. Stat. Data Anal., 2007

The matrix equations AX=B, XC=F with PX=sXP constraint.
Appl. Math. Comput., 2007

Matrix iterative solutions to the least squares problem of BXA<sup>T</sup>=F with some linear constraints.
Appl. Math. Comput., 2007

Probability-Based Locally Linear Embedding for Classification.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
On Weight Design of Maximum Weighted Likelihood and an Extended EM Algorithm.
IEEE Trans. Knowl. Data Eng., 2006

MLLE: Modified Locally Linear Embedding Using Multiple Weights.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Necessary and Sufficient Conditions for the Existence of Positive Definite Solutions to the Symmetric Recursive Inverse Eigenvalue Problem.
SIAM J. Matrix Anal. Appl., 2005

A Domain Decomposition Method for Fast Manifold Learning.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Spectral analysis of alignment in manifold learning.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment.
SIAM J. Sci. Comput., 2004

Low-Rank Approximations with Sparse Factors II: Penalized Methods with Discrete Newton-Like Iterations.
SIAM J. Matrix Anal. Appl., 2004

Local Smoothing for Manifold Learning.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
A Projection Method for Least Squares Problems with a Quadratic Equality Constraint.
SIAM J. Matrix Anal. Appl., 2003

Automatic Document Metadata Extraction Using Support Vector Machines.
Proceedings of the ACM/IEEE 2003 Joint Conference on Digital Libraries (JCDL 2003), 2003

Nonlinear Dimension Reduction via Local Tangent Space Alignment.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

Isometric Embedding and Continuum ISOMAP.
Proceedings of the Machine Learning, 2003

2002
Low-Rank Approximations with Sparse Factors I: Basic Algorithms and Error Analysis.
SIAM J. Matrix Anal. Appl., 2002

A modified Gram-Schmidt-based downdating technique for ULV decompositions with applications to recursive TLS problems.
Comput. Stat. Data Anal., 2002

Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
CoRR, 2002

2001
Structure and Perturbation Analysis of Truncated SVDs for Column-Partitioned Matrices.
SIAM J. Matrix Anal. Appl., 2001

2000
Matrices with Low-Rank-Plus-Shift Structure: Partial SVD and Latent Semantic Indexing.
SIAM J. Matrix Anal. Appl., 2000

1998
A Cubically Convergent Parallelizable Method for the Hermitian Eigenvalue Problem.
SIAM J. Matrix Anal. Appl., April, 1998


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