Yingzhou Li
Orcid: 0000-0003-1852-3750
According to our database1,
Yingzhou Li
authored at least 33 papers
between 2015 and 2024.
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Bibliography
2024
SIAM J. Sci. Comput., February, 2024
Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets.
CoRR, 2024
Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms.
Proceedings of the International Conference for High Performance Computing, 2024
2023
On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization.
SIAM J. Optim., 2023
2022
Triangularized Orthogonalization-Free Method for Solving Extreme Eigenvalue Problems.
J. Sci. Comput., 2022
KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set.
Comput. Phys. Commun., 2022
ButterflyNet2D: Bridging Classical Methods and Neural Network Methods in Image Processing.
CoRR, 2022
Proceedings of the Mathematical and Scientific Machine Learning, 2022
2021
On the global convergence of randomized coordinate gradient descent for non-convex optimization.
CoRR, 2021
2020
Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares.
SIAM J. Matrix Anal. Appl., 2020
Variational training of neural network approximations of solution maps for physical models.
J. Comput. Phys., 2020
Comput. Phys. Commun., 2020
Distributed-memory H-matrix Algebra I: Data Distribution and Matrix-vector Multiplication.
CoRR, 2020
Proceedings of Mathematical and Scientific Machine Learning, 2020
2019
SIAM J. Sci. Comput., 2019
SIAM J. Matrix Anal. Appl., 2019
Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators.
Multiscale Model. Simul., 2019
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
SIAM J. Matrix Anal. Appl., 2018
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks.
CoRR, 2018
2017
CoRR, 2017
Spectrum Slicing for Sparse Hermitian Definite Matrices Based on Zolotarev's Functions.
CoRR, 2017
2016
2015
Multiscale Model. Simul., 2015
CoRR, 2015