Zhou Sheng, Ph.D.

Associate Professor

Department of Data Science

Anhui University of Technology

Research Interests

l Numerical optimization

l Tensor computation

Teaching Courses

l Machine Learning, Optimization methods, Linear Algebra

Grants

l 202201-202311, Study on theory and application of tensor orthogonal decomposition algorithms, Youth Foundation of Anhui University of Technology

Selected Publications

1. Zhou Sheng, Gonglin Yuan. Convergence and worst-case complexity of adaptive Riemannian trust-region methods for optimization on manifolds. Journal of Global Optimization, 89: 949–974, 2024. (T2 Journal)

2. 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. (T1 Journal)

3. Xin Li, Zhou Sheng, Luming Zhang. High-order Lagrange multiplier method for the coupled Klein-Gordon-Schrödinger system. Journal of Computational Physics, 493: 112456, 2023. (T1 Journal)

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. (T3 Journal)

5. Zhou Sheng, Gonglin Yuan, Zengru Cui. A new adaptive trust region algorithm for optimization problems, Acta Mathematica Scientia, 2018, 38(2): 479-496.  (T1 Journal)

6. Zhou Sheng, Gonglin Yuan. An effective adaptive trust region algorithm for nonsmooth minimization, Computational Optimization and Applications, 2018, 71: 251-271.  (T2 Journal)