盛洲，讲师，硕士生导师。主要从事数值优化与张量计算的研究。在国内外期刊上以第一作者或通讯作者发表论文15篇，其中SCI收录15篇。主持在研或完成安徽省自然科学基金青年基金和安徽工业大学校青年基金各1项，参与研究国家自然科学基金1项。指导研究生2人。
研究领域
l 数值优化
l 张量计算
主讲课程
l 机器学习，经济与管理中优化方法
l 线性代数
基金项目
l 202201-202312，关于量子纠缠问题中张量优化算法的研究，安徽省自然科学基金，2208085QA07.
l 202201-202311，张量正交分解算法的理论及应用研究，安徽工业大学校青年基金，QZ202114.
代表性论文
1. Zhou Sheng, Jianze Li, Qin Ni. Jacobi-type algorithms for homogeneous polynomial optimization on Stiefel manifolds with applications to tensor approximations. Mathematics of Computation, 92(343): 2217-2245, 2023. (SCI)
2. Xin Zhang, Jinagya Chang, Zhili Ge, Zhou Sheng*. A family of gradient methods using Householder transformation with application to hypergraph partitioning. Numerical Algorithms, 2023. https://doi.org/10.1007/s11075-023-01593-y. (SCI)
3. Zhou Sheng, Weiwei Yang, Jie Wen. A Riemannian gradient ascent algorithm with applications to orthogonal approximation problems of symmetric tensors. Applied Numerical Mathematics, 182: 235-247, 2022. (SCI)
4. Zhou Sheng, Qin Ni. A generalization of inverse power method for computing eigenpairs of symmetric tensor. Linear and Multilinear Algebra, 70(20): 4973-4990, 2022. (SCI)
5. Zhou Sheng, Qin Ni. Computing tensor Z-eigenvalues via shifted inverse power method. Journal of Computational and Applied Mathematics, 398: 113717, 2021. (SCI)
6. Zhou Sheng, Qin Ni. Globally convergent inverse iteration algorithm for finding the largest eigenvalue of a nonnegative weakly irreducible tensor. Pacific Journal of Optimization, 17(2): 189-207, 2021. (SCI)
7. Gonglin Yuan, Xiaoliang Wang, Zhou Sheng*. Family weak conjugate gradient algorithms and their convergence analysis for nonconvex functions. Numerical Algorithms, 84(3): 935-956, 2020. (SCI)
8. Zhou Sheng, Qin Ni, Gonglin Yuan. Local convergence analysis of inverse iteration algorithm for computing the H-spectral radius of a nonnegative weakly irreducible tensor. Journal of Computational and Applied Mathematics, 357, 26-37, 2019. (SCI)
9. Gonglin Yuan, Bopeng Wang, Zhou Sheng*. The Hager-Zhang conjugate gradient algorithm for large-scale nonlinear equations. International Journal of Computer Mathematics, 96(8): 1533-1547, 2019. (SCI)
10. Zhou Sheng, Gonglin Yuan. An effective adaptive trust region algorithm for nonsmooth minimization. Computational Optimization and Applications, 71, 251-271, 2018. (SCI)
11. Gonglin Yuan, Zhou Sheng*, Bopeng Wang, Wujie Hu, Chunnian Li. The global convergence of a modified BFGS method for nonconvex functions. Journal of Computational and Applied Mathematics, 327, 274-294, 2018. (SCI)
12. Zhou Sheng, Gonglin Yuan, Zengru Cui. A new adaptive trust region algorithm for optimization problems. Acta Mathematica Scientia, 38(2), 479-496, 2018. (SCI)
