10 papers
A Twelve-Row Seed and a One-Row Extension for Five-Column Recursive-Line Zarankiewicz Numbers
Min Xi, Jingya Chang
We prove that the five-column recursive-line Zarankiewicz number satisfies for every integer . The proof is based on an explicit seed config…
A gradient projection method for semi-supervised hypergraph clustering problems
Jingya Chang, Dongdong Liu, Min Xi
Semi-supervised clustering problems focus on clustering data with labels. In this paper,we consider the semi-supervised hypergraph problems. We use the hypergraph related tensor to…
Multi-Linear Pseudo-PageRank for Hypergraph Partitioning
Yannan Chen, Wen Li, Jingya Chang
Motivated by the PageRank model for graph partitioning, we develop an extension of PageRank for partitioning uniform hypergraphs. Starting from adjacency tensors of uniform hypergr…
Hyperspectral super-resolution via low rank tensor triple decomposition
Xiaofei Cui, Jingya Chang
Hyperspectral image (HSI) and multispectral image (MSI) fusion aims at producing a super-resolution image (SRI). In this paper, we establish a nonconvex optimization model for imag…
Weighted structure tensor total variation for image denoising
Xiuhan Sheng, Lijuan Yang, Jingya Chang
For image denoising problems, the structure tensor total variation (STV)-based models show good performances when compared with other competing regularization approaches. However,…
A tensor optimization algorithm for computing Lagrangians of hypergraphs
Jingya Chang, Bin Xiao, Xin Zhang
The Lagrangian of a hypergraph is a crucial tool for studying hypergraph extremal problems. Though Lagrangians of some special structure hypergraphs have closed-form solutions, it…
An adaptive weighted self-representation method for incomplete multi-view clustering
Lishan Feng, Guoxu Zhou, Jingya Chang
For multi-view data in reality, part of its elements may be missing because of human or machine error. Incomplete multi-view clustering (IMC) clusters the incomplete multi-view dat…
An adaptive cubic regularization method for computing extreme eigenvalues of tensors
Jingya Chang, Zhi zhu
In this paper, we compute the H- and Z-eigenvalues of even order symmetric tensors by using the adaptive cubic regularization algorithm.
Computing the -Spectral Radii of Uniform Hypergraphs with Applications
Jingya Chang, Weiyang Ding, Liqun Qi +1
The -spectral radius of a uniform hypergraph covers many important concepts, such as Lagrangian and spectral radius of the hypergraph, and is crucial for solving spectral extrem…
Computing Eigenvalues of Large Scale Sparse Tensors Arising from a Hypergraph
Jingya Chang, Yannan Chen, Liqun Qi
The spectral theory of higher-order symmetric tensors is an important tool to reveal some important properties of a hypergraph via its adjacency tensor, Laplacian tensor, and signl…