7 citations · 7 across the 3 of their papers we have counts for
4 papers
A Two-level Filtered Subspace Iterative Method for Generalized Hermitian Interior Eigenvalue Problems
Qi Li, Shi Shu, Xiaofei Xu +1
We propose a two-level filtered subspace iterative (TLFSI) method for computing all eigenpairs whose eigenvalues in the interval of interest after finite element discretiza…
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation
Hui Zhu, Shi Shu, Jianping Zhang
Solving variational image segmentation problems with hidden physics is often expensive and requires different algorithms and manually tunes model parameter. The deep learning metho…
A Dynamic Subspace Based BFGS Method for Large Scale Optimization Problem
Zheng Li, Shi Shu, Jian-Ping Zhang
Large-scale unconstrained optimization is a fundamental and important class of, yet not well-solved problems in numerical optimization. The main challenge in designing an algorithm…
SVGD: A Virtual Gradients Descent Method for Stochastic Optimization
Zheng Li, Shi Shu
Inspired by dynamic programming, we propose Stochastic Virtual Gradient Descent (SVGD) algorithm where the Virtual Gradient is defined by computational graph and automatic differen…