研究领域
运筹与优化：非线性优化、张量与多项式优化及其在图像处理和机器学习中的应用
论文成果
- Chang J,Liu D,Xi M*,A gradient projection method for semi-supervised hypergraph clustering problems.2023,Submitted.
- 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.2023,submitted.
- Feng L,Zhou G,Chang J*,An adaptive weighted self-representation method for incomplete multi-view clustering.10.48550/arXiv.2302.05563,2023,Submitted.
- Chang J,Xiao B,Zhang X,A tensor optimization algorithm for computing Lagrangians of hypergraphs.Journal of Optimization Theory and Applications,2023,Accepted.
- Chang J,Zhu Z,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.
- Zhu Z,Chang J*,Solving the adaptive cubic regularization sub-problem using the Lanczos method.Symmetry,2022,14(10):2191.
- 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.
- Chen Y,Chang J*,A trust region algorithm for computing extreme eigenvalues of tensors.Numerical Algebra, Control and Optimization,2020,10(4)475-485.
- Chang J,Ding w,Qi L*,Yan H,Computing the P-spectral radii of uniform hypergraphs with applications.Journal of Scientific Computing,2018,(75):1–25.
- Chang J,Chen Y,Qi L,Computing eigenvalues of large scale sparse tensors arising from a hypergraph.SIAM Journal on Scientific Computing,2016,38(6)A3618-A3643.
专利
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著作成果
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