Hong Zhu

Orcid: 0000-0002-0940-8059

Affiliations:
  • Jiangsu University, Faculty of Science, Zhenjiang, China


According to our database1, Hong Zhu authored at least 14 papers between 2017 and 2025.

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

Timeline

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Bibliography

2025
Efficient method for symmetric nonnegative matrix factorization with an approximate augmented Lagrangian scheme.
J. Comput. Appl. Math., 2025

2024
Augmented Lagrangian method for tensor low-rank and sparsity models in multi-dimensional image recovery.
Adv. Comput. Math., August, 2024

A hybrid inexact regularized Newton and negative curvature method.
Comput. Optim. Appl., July, 2024

An Inexact Majorized Proximal Alternating Direction Method of Multipliers for Diffusion Tensors.
SIAM J. Imaging Sci., 2024

2022
Correction to: An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation.
J. Sci. Comput., 2022

2021
Heterogeneous Domain Adaptation by Information Capturing and Distribution Matching.
IEEE Trans. Image Process., 2021

An Approximate Augmented Lagrangian Method for Nonnegative Low-Rank Matrix Approximation.
J. Sci. Comput., 2021

Multiple graph semi-supervised clustering with automatic calculation of graph associations.
Neurocomputing, 2021

2020
Structured Dictionary Learning for Image Denoising Under Mixed Gaussian and Impulse Noise.
IEEE Trans. Image Process., 2020

2019
Auto-weighted multi-view constrained spectral clustering.
Neurocomputing, 2019

2018
The Convergent Generalized Central Paths for Linearly Constrained Convex Programming.
SIAM J. Optim., 2018

Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality.
Neural Comput., 2018

Multiple graphs clustering by gradient flow method.
J. Frankl. Inst., 2018

2017
Nonconvex and Nonsmooth Optimization with Generalized Orthogonality Constraints: An Approximate Augmented Lagrangian Method.
J. Sci. Comput., 2017


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