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[1]Chang J,Liu D,Xi M*,A gradient projection method for semi-supervised hypergraph clustering problems.2025,Accepted
[2]Zhang X,Chang J,Ge Z,Sheng Z*,A family of conjugate gradient methods with Householder transform for computing and its application to hypergraph partitioning.Numerical Algorithms,2024,95(2)
[3]Chen Y,Li W,Chang J*,Multi-Linear Pseudo-PageRank for Hypergraph Partitioning.Journal of Scientific Computing,2024,99(1):7.
[4]Cui X,Chang J*,Hyperspectral super-resolution via low rank tensor triple decomposition.Journal of Industrial and Management Optimization,2024,20(3):942-966.
[5]Sheng X,Chang J*,Weighted structure tensor total variation for image denoising.Journal of Electronic Imaging,2024,33(1):013049-013049..
[6]Lishan Feng,Guoxu Zhou,Jingya Chang*,An adaptive weighted self-representation method for incomplete multi-view clustering.International Journal of Machine Learning and Cybernetics,2024,15
[7]Jingya Chang,Bin Xiao,Zhang xin,A tensor optimization algorithm for computing Lagrangians of hypergraphs.Journal of Optimization Theory and Applications,2023,198588-604.
[8]Jingya Chang,Zhi Zhu,An adaptive cubic regularization algorithm for computing H- and Z-eigenvalues of real even-order supersymmetric tensors.Journal of Computational and Applied Mathematics,2023,428(-):115195.
[9]Zhu Z,Chang J*,Solving the adaptive cubic regularization sub-problem using the Lanczos method.Symmetry,2022,14(10):2191.
[10]Chang J,Chen Y*,Yan H,Qi L,Hypergraph clustering using a new Laplacian tensor with applications in image processing.SIAM Journal on Imaging Sciences,2020,13(3)1157--1178.
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