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Jingya Chang
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2020 – today
- 2024
- [j11]Xiuhan Sheng, Lijuan Yang, Jingya Chang:
Weighted structure tensor total variation for image denoising. Adv. Math. Commun. 33(1) (2024) - [j10]Yannan Chen, Wen Li, Jingya Chang
:
Multi-Linear Pseudo-PageRank for Hypergraph Partitioning. J. Sci. Comput. 99(1): 7 (2024) - [j9]Lishan Feng, Guoxu Zhou, Jingya Chang
:
An adaptive weighted self-representation method for incomplete multi-view clustering. Int. J. Mach. Learn. Cybern. 15(10): 4521-4536 (2024) - [j8]Xin Zhang, Jingya Chang, Zhili Ge, Zhou Sheng
:
A family of gradient methods using Householder transformation with application to hypergraph partitioning. Numer. Algorithms 95(2): 897-927 (2024) - 2023
- [j7]Jingya Chang
, Zhi Zhu:
An adaptive cubic regularization algorithm for computing H- and Z-eigenvalues of real even-order supersymmetric tensors. J. Comput. Appl. Math. 428: 115195 (2023) - [j6]Jingya Chang, Bin Xiao, Xin Zhang
:
A Tensor Optimization Algorithm for Computing Lagrangians of Hypergraphs. J. Optim. Theory Appl. 198(2): 588-604 (2023) - [i1]Xiuhan Sheng, Jingya Chang:
Weighted structure tensor total variation for image denoising. CoRR abs/2306.10482 (2023) - 2022
- [j5]Zhi Zhu, Jingya Chang
:
Solving the Adaptive Cubic Regularization Sub-Problem Using the Lanczos Method. Symmetry 14(10): 2191 (2022) - 2020
- [j4]Jingya Chang, Yannan Chen, Liqun Qi, Hong Yan:
Hypergraph Clustering Using a New Laplacian Tensor with Applications in Image Processing. SIAM J. Imaging Sci. 13(3): 1157-1178 (2020)
2010 – 2019
- 2018
- [j3]Jingya Chang, Weiyang Ding
, Liqun Qi, Hong Yan:
Computing the p-Spectral Radii of Uniform Hypergraphs with Applications. J. Sci. Comput. 75(1): 1-25 (2018) - 2016
- [j2]Jingya Chang, Yannan Chen, Liqun Qi
:
Computing Eigenvalues of Large Scale Sparse Tensors Arising from a Hypergraph. SIAM J. Sci. Comput. 38(6) (2016) - 2010
- [j1]Jingya Chang, Wenyu Sun, Yannan Chen:
A modified Newton's method for best rank-one approximation to tensors. Appl. Math. Comput. 216(6): 1859-1867 (2010)
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