Gaohang Yu

Orcid: 0000-0002-1546-3951

According to our database1, Gaohang Yu authored at least 41 papers between 2004 and 2024.

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Bibliography

2024
A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks.
IEEE Trans. Comput. Soc. Syst., April, 2024

An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank.
Expert Syst. Appl., March, 2024

2023
Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors.
J. Sci. Comput., May, 2023

Infrared object detection via patch-tensor model and image denoising based on weighted truncated Schatten- <i>p</i> norm minimization.
IET Image Process., May, 2023

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification.
Knowl. Based Syst., April, 2023

Low-rank Tensor Train Decomposition Using TensorSketch.
CoRR, 2023

A Randomized Block Krylov Method for Tensor Train Approximation.
CoRR, 2023

Joint Action Representation and Prioritized Experience Replay for Reinforcement Learning in Large Discrete Action Spaces.
Proceedings of the 2023 7th International Conference on Machine Learning and Soft Computing, 2023

2022
A Bayesian robust CP decomposition approach for missing traffic data imputation.
Multim. Tools Appl., 2022

Multi-mode Tensor Train Factorization with Spatial-spectral Regularization for Remote Sensing Images Recovery.
CoRR, 2022

Discrete subspace structure constrained human motion capture data recovery.
Appl. Soft Comput., 2022

2021
Sample-based online learning for bi-regular hinge loss.
Int. J. Mach. Learn. Cybern., 2021

T-Singular Values and T-Sketching for Third Order Tensors.
CoRR, 2021

T-product factorization method for internet traffic data completion with spatio-temporal regularization.
Comput. Optim. Appl., 2021

2020
Computing the nearest polynomial to multiple given polynomials with a given zero via <i>l</i><sub>2, <i>q</i></sub>-norm minimization.
Theor. Comput. Sci., 2020

Robust sequential subspace clustering via ℓ<sub>1</sub>-norm temporal graph.
Neurocomputing, 2020

A Parallelizable Method for Missing Internet Traffic Tensor Data.
CoRR, 2020

The nearest polynomial to multiple given polynomials with a given zero: A unified optimization approach.
Appl. Math. Lett., 2020

2019
A Unified Proximity Algorithm with Adaptive Penalty for Nuclear Norm Minimization.
Symmetry, 2019

Spectral projected gradient methods for generalized tensor eigenvalue complementarity problems.
Numer. Algorithms, 2019

Orthogonal tensor dictionary learning for accelerated dynamic MRI.
Medical Biol. Eng. Comput., 2019

2018
Motion Capture Data Completion via Truncated Nuclear Norm Regularization.
IEEE Signal Process. Lett., 2018

Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation.
Comput. Biol. Medicine, 2018

On the projection-based commuting solutions of the Yang-Baxter matrix equation.
Appl. Math. Lett., 2018

2016
Properties of Solution Set of Tensor Complementarity Problem.
J. Optim. Theory Appl., 2016

Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations.
Neurocomputing, 2016

An adaptive gradient method for computing generalized tensor eigenpairs.
Comput. Optim. Appl., 2016

2015
A fast proximal point algorithm for ℓ<sub>1</sub>-minimization problem in compressed sensing.
Appl. Math. Comput., 2015

2014
A nonmonotone adaptive projected gradient method for primal-dual total variation image restoration.
Signal Process., 2014

2013
The <i>Z</i>-eigenvalues of a symmetric tensor and its application to spectral hypergraph theory.
Numer. Linear Algebra Appl., 2013

Nonnegative Diffusion Orientation Distribution Function.
J. Math. Imaging Vis., 2013

2012
A Projected Conjugate Gradient Method for Compressive Sensing.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012

2010
Impulse noise removal by a nonmonotone adaptive gradient method.
Signal Process., 2010

Higher Order Positive Semidefinite Diffusion Tensor Imaging.
SIAM J. Imaging Sci., 2010

A descent spectral conjugate gradient method for impulse noise removal.
Appl. Math. Lett., 2010

2009
On Nonmonotone Chambolle Gradient Projection Algorithms for Total Variation Image Restoration.
J. Math. Imaging Vis., 2009

Globally convergent Polak-Ribière-Polyak conjugate gradient methods under a modified Wolfe line search.
Appl. Math. Comput., 2009

2008
Spectral conjugate gradient methods with sufficient descent property for large-scale unconstrained optimization.
Optim. Methods Softw., 2008

Multivariate spectral gradient method for unconstrained optimization.
Appl. Math. Comput., 2008

2007
A descent nonlinear conjugate gradient method for large-scale unconstrained optimization.
Appl. Math. Comput., 2007

2004
The Superlinear Convergence of a Modified BFGS-Type Method for Unconstrained Optimization.
Comput. Optim. Appl., 2004


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