Structured Block Basis Factorization for Scalable Kernel Matrix Evaluation. - Ruoxi Wang; Yingzhou Li; Michael W. Mahoney; Eric Darve (CoRR, 2015)

Butterfly Factorization. - Yingzhou Li; Haizhao Yang; Eileen R. Martin; Kenneth L. Ho; Lexing Ying (Multiscale Model. Simul., 2015)

A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators. - Yingzhou Li; Haizhao Yang; Lexing Ying (Multiscale Model. Simul., 2015)

Distributed-memory Hierarchical Interpolative Factorization. - Yingzhou Li; Lexing Ying (CoRR, 2016)

Spectrum Slicing for Sparse Hermitian Definite Matrices Based on Zolotarev's Functions. - Yingzhou Li; Haizhao Yang (CoRR, 2017)

On the numerical rank of radial basis function kernel matrices in high dimension. - Ruoxi Wang; Yingzhou Li; Eric Darve (CoRR, 2017)

Interpolative Butterfly Factorization. - Yingzhou Li; Haizhao Yang (SIAM J. Sci. Comput., 2017)

Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks. - Yingzhou Li; Xiuyuan Cheng; Jianfeng Lu 001 (CoRR, 2018)

On the Numerical Rank of Radial Basis Function Kernels in High Dimensions. - Ruoxi Wang; Yingzhou Li; Eric Darve (SIAM J. Matrix Anal. Appl., 2018)

Mask Embedding for Realistic High-Resolution Medical Image Synthesis. - Yinhao Ren; Zhe Zhu; Yingzhou Li; Dehan Kong; Rui Hou 002; Lars J. Grimm; Jeffrey R. Marks; Joseph Y. Lo (MICCAI (6), 2019)

Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images. - Yinhao Ren; Zhe Zhu; Yingzhou Li; Joseph Y. Lo (CoRR, 2019)

Universal approximation of symmetric and anti-symmetric functions. - Jiequn Han; Yingzhou Li; Lin Lin 001; Jianfeng Lu 001; Jiefu Zhang; Linfeng Zhang 002 (CoRR, 2019)

Globally Constructed Adaptive Local Basis Set for Spectral Projectors of Second Order Differential Operators. - Yingzhou Li; Lin Lin 001 (Multiscale Model. Simul., 2019)

Block Basis Factorization for Scalable Kernel Evaluation. - Ruoxi Wang; Yingzhou Li; Michael W. Mahoney; Eric Darve (SIAM J. Matrix Anal. Appl., 2019)

CoordinateWise Descent Methods for Leading Eigenvalue Problem. - Yingzhou Li; Jianfeng Lu 001; Zhe Wang 030 (SIAM J. Sci. Comput., 2019)

Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization. - Zhongshu Xu; Yingzhou Li; Xiuyuan Cheng (MSML, 2020)

Distributed-memory H-matrix Algebra I: Data Distribution and Matrix-vector Multiplication. - Yingzhou Li; Jack Poulson; Lexing Ying (CoRR, 2020)

ELSI - An open infrastructure for electronic structure solvers. - 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; et al. (Comput. Phys. Commun., 2020)

Variational training of neural network approximations of solution maps for physical models. - Yingzhou Li; Jianfeng Lu 001; Anqi Mao (J. Comput. Phys., 2020)

Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares. - Ziang Chen; Yingzhou Li; Jianfeng Lu 001 (SIAM J. Matrix Anal. Appl., 2020)

On the global convergence of randomized coordinate gradient descent for non-convex optimization. - Ziang Chen; Yingzhou Li; Jianfeng Lu 001 (CoRR, 2021)

Global Convergence of Triangularized Orthogonalization-free Method. - Weiguo Gao; Yingzhou Li; Bichen Lu (CoRR, 2021)

SpecNet2: Orthogonalization-free Spectral Embedding by Neural Networks. - Ziyu Chen; Yingzhou Li; Xiuyuan Cheng (MSML, 2022)

ButterflyNet2D: Bridging Classical Methods and Neural Network Methods in Image Processing. - Gengzhi Yang; Yingzhou Li (CoRR, 2022)

KSSOLV 2.0: An efficient MATLAB toolbox for solving the Kohn-Sham equations with plane-wave basis set. - Shizhe Jiao; Zhenlin Zhang; Kai Wu; Lingyun Wan; Huanhuan Ma; Jielan Li; Sheng Chen; Xinming Qin; Jie Liu 069; Zijing Ding; Jinlong Yang 003; Yingzhou Li; et al. (Comput. Phys. Commun., 2022)

Triangularized Orthogonalization-Free Method for Solving Extreme Eigenvalue Problems. - Weiguo Gao; Yingzhou Li; Bichen Lu (J. Sci. Comput., 2022)

On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization. - Ziang Chen; Yingzhou Li; Jianfeng Lu 001 (SIAM J. Optim., 2023)

Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms. - Honghui Shang; Ying Liu 055; Zhikun Wu; Zhenchuan Chen; Jinfeng Liu 004; Meiyue Shao; Yingzhou Li; Bowen Kan; Huimin Cui; Xiaobing Feng 002; Yunquan Zhang; Donald G. Truhlar; et al. (SC, 2024)

Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets. - Weiwei Xu; Weijie Shen; Wen Li; Weiguo Gao; Yingzhou Li (CoRR, 2024)

On the Continuity of Schur-Horn Mapping. - Hengzhun Chen; Yingzhou Li (CoRR, 2024)

Resource Efficient Boolean Function Solver on Quantum Computer. - Xiang Li; Hanxiang Shen; Weiguo Gao; Yingzhou Li (Quantum, 2024)

Weighted Trace-Penalty Minimization for Full Configuration Interaction. - Weiguo Gao; Yingzhou Li; Hanxiang Shen (SIAM J. Sci. Comput., 2024)

A quantum algorithm for linear autonomous differential equations via Padé approximation. - Dekuan Dong; Yingzhou Li; Jungong Xue (Quantum, 2025)

Interior Eigensolver Based on Rational Filter with Composite Rule. - Yuer Chen; Yingzhou Li (SIAM J. Matrix Anal. Appl., 2025)

Hierarchical Tucker Low-Rank Matrices: Construction and Matrix-Vector Multiplication. - Yingzhou Li; Jingyu Liu (CoRR, 2025)