A modified Newton's method for best rank-one approximation to tensors. - Jingya Chang; Wenyu Sun; Yannan Chen (Appl. Math. Comput., 2010)

Computing Eigenvalues of Large Scale Sparse Tensors Arising from a Hypergraph. - Jingya Chang; Yannan Chen; Liqun Qi 001 (SIAM J. Sci. Comput., 2016)

Computing the p-Spectral Radii of Uniform Hypergraphs with Applications. - Jingya Chang; Weiyang Ding; Liqun Qi 001; Hong Yan 001 (J. Sci. Comput., 2018)

Hypergraph Clustering Using a New Laplacian Tensor with Applications in Image Processing. - Jingya Chang; Yannan Chen; Liqun Qi 001; Hong Yan 001 (SIAM J. Imaging Sci., 2020)

Solving the Adaptive Cubic Regularization Sub-Problem Using the Lanczos Method. - Zhi Zhu; Jingya Chang (Symmetry, 2022)

Weighted structure tensor total variation for image denoising. - Xiuhan Sheng; Jingya Chang (CoRR, 2023)

An adaptive cubic regularization algorithm for computing H- and Z-eigenvalues of real even-order supersymmetric tensors. - Jingya Chang; Zhi Zhu (J. Comput. Appl. Math., 2023)

A Tensor Optimization Algorithm for Computing Lagrangians of Hypergraphs. - Jingya Chang; Bin Xiao; Xin Zhang 087 (J. Optim. Theory Appl., 2023)

Weighted structure tensor total variation for image denoising. - Xiuhan Sheng; Lijuan Yang; Jingya Chang (Adv. Math. Commun., 2024)

A family of gradient methods using Householder transformation with application to hypergraph partitioning. - Xin Zhang 087; Jingya Chang; Zhili Ge; Zhou Sheng (Numer. Algorithms, 2024)

Multi-Linear Pseudo-PageRank for Hypergraph Partitioning. - Yannan Chen; Wen Li; Jingya Chang (J. Sci. Comput., 2024)

An adaptive weighted self-representation method for incomplete multi-view clustering. - Lishan Feng; Guoxu Zhou; Jingya Chang (Int. J. Mach. Learn. Cybern., 2024)