Yingzhou Li

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Classical Methods

Alternating Least Squares

Kernel Matrices

Top Venues

SIAM J. Matrix Anal. Appl.

Multiscale Model. Simul.

SIAM J. Sci. Comput.

Publications

Hengzhun Chen, Yingzhou Li
On the Continuity of Schur-Horn Mapping. CoRR (2024)
Weiguo Gao, Yingzhou Li, Hanxiang Shen
Weighted Trace-Penalty Minimization for Full Configuration Interaction. SIAM J. Sci. Comput. 46 (1) (2024)
Weiwei Xu, Weijie Shen, Wen Li, Weiguo Gao, Yingzhou Li
Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets. CoRR (2024)
Weiguo Gao, Yingzhou Li, Hanxiang Shen
Weighted Trace-Penalty Minimization for Full Configuration Interaction. CoRR (2023)
Yuer Chen, Yingzhou Li
Interior Eigensolver Based on Rational Filter with Composite rule. CoRR (2023)
Ziang Chen, Yingzhou Li, Jianfeng Lu
On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization. SIAM J. Optim. 33 (2) (2023)
Xiang Li, Hanxiang Shen, Weiguo Gao, Yingzhou Li
Resource Efficient Boolean Function Solver on Quantum Computer. CoRR (2023)
Gengzhi Yang, Yingzhou Li
ButterflyNet2D: Bridging Classical Methods and Neural Network Methods in Image Processing. CoRR (2022)
Shizhe Jiao, Zhenlin Zhang, Kai Wu, Lingyun Wan, Huanhuan Ma, Jielan Li, Sheng Chen, Xinming Qin, Jie Liu, Zijing Ding, Jinlong Yang, Yingzhou Li, Wei Hu, Lin Lin, Chao Yang
KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set. Comput. Phys. Commun. 279 (2022)
Ziyu Chen, Yingzhou Li, Xiuyuan Cheng
SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks. MSML (2022)
Weiguo Gao, Yingzhou Li, Bichen Lu
Triangularized Orthogonalization-Free Method for Solving Extreme Eigenvalue Problems. J. Sci. Comput. 93 (2) (2022)
Ziyu Chen, Yingzhou Li, Xiuyuan Cheng
SpecNet2: Orthogonalization-free spectral embedding by neural networks. CoRR (2022)
Ziang Chen, Yingzhou Li, Jianfeng Lu
On the global convergence of randomized coordinate gradient descent for non-convex optimization. CoRR (2021)
Weiguo Gao, Yingzhou Li, Bichen Lu
Global Convergence of Triangularized Orthogonalization-free Method. CoRR (2021)
Yingzhou Li, Jack Poulson, Lexing Ying
Distributed-memory H-matrix Algebra I: Data Distribution and Matrix-vector Multiplication. CoRR (2020)
Victor Wen-zhe Yu, Carmen Campos, William Dawson, Alberto García, Ville Havu, Ben Hourahine, William P. Huhn, Mathias Jacquelin, Weile Jia, Murat Keçeli, Raul Laasner, Yingzhou Li, Lin Lin, Jianfeng Lu, Jonathan Moussa, José E. Román, Álvaro Vázquez-Mayagoitia, Chao Yang, Volker Blum
ELSI - An open infrastructure for electronic structure solvers. Comput. Phys. Commun. 256 (2020)
Ziang Chen, Yingzhou Li, Jianfeng Lu
Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
Weiguo Gao, Yingzhou Li, Bichen Lu
Triangularized Orthogonalization-free Method for Solving Extreme Eigenvalue Problems. CoRR (2020)
Zhongshu Xu, Yingzhou Li, Xiuyuan Cheng
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. MSML (2020)
Yingzhou Li, Jianfeng Lu, Anqi Mao
Variational training of neural network approximations of solution maps for physical models. J. Comput. Phys. 409 (2020)
Zhongshu Xu, Yingzhou Li, Xiuyuan Cheng
Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. CoRR (2019)
Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang
Universal approximation of symmetric and anti-symmetric functions. CoRR (2019)
Yingzhou Li, Jianfeng Lu, Zhe Wang
CoordinateWise Descent Methods for Leading Eigenvalue Problem. SIAM J. Sci. Comput. 41 (4) (2019)
Yingzhou Li, Lin Lin
Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators. Multiscale Model. Simul. 17 (1) (2019)
Yinhao Ren, Zhe Zhu, Yingzhou Li, Dehan Kong, Rui Hou, Lars J. Grimm, Jeffrey R. Marks, Joseph Y. Lo
Mask Embedding for Realistic High-Resolution Medical Image Synthesis. MICCAI (6) (2019)
Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve
Block Basis Factorization for Scalable Kernel Evaluation. SIAM J. Matrix Anal. Appl. 40 (4) (2019)
Yingzhou Li, Jianfeng Lu, Anqi Mao
Variational training of neural network approximations of solution maps for physical models. CoRR (2019)
Yinhao Ren, Zhe Zhu, Yingzhou Li, Joseph Y. Lo
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. CoRR (2019)
Ruoxi Wang, Yingzhou Li, Eric Darve
On the Numerical Rank of Radial Basis Function Kernels in High Dimensions. SIAM J. Matrix Anal. Appl. 39 (4) (2018)
Yingzhou Li, Xiuyuan Cheng, Jianfeng Lu
Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks. CoRR (2018)
Ruoxi Wang, Yingzhou Li, Eric Darve
On the numerical rank of radial basis function kernel matrices in high dimension. CoRR (2017)
Yingzhou Li, Haizhao Yang
Interpolative Butterfly Factorization. SIAM J. Sci. Comput. 39 (2) (2017)
Yingzhou Li, Haizhao Yang
Spectrum Slicing for Sparse Hermitian Definite Matrices Based on Zolotarev's Functions. CoRR (2017)
Yingzhou Li, Lexing Ying
Distributed-memory Hierarchical Interpolative Factorization. CoRR (2016)
Yingzhou Li, Haizhao Yang, Lexing Ying
A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators. Multiscale Model. Simul. 13 (2) (2015)
Yingzhou Li, Haizhao Yang, Eileen R. Martin, Kenneth L. Ho, Lexing Ying
Butterfly Factorization. Multiscale Model. Simul. 13 (2) (2015)
Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve
Structured Block Basis Factorization for Scalable Kernel Matrix Evaluation. CoRR (2015)