A Superfast Structured Solver for Toeplitz Linear Systems via Randomized Sampling. - Jianlin Xia; Yuanzhe Xi; Ming Gu 002 (SIAM J. Matrix Anal. Appl., 2012)

A Fast Randomized Eigensolver with Structured LDL Factorization Update. - Yuanzhe Xi; Jianlin Xia; Raymond H. Chan (SIAM J. Matrix Anal. Appl., 2014)

Superfast and Stable Structured Solvers for Toeplitz Least Squares via Randomized Sampling. - Yuanzhe Xi; Jianlin Xia; Stephen Cauley; Venkataramanan Balakrishnan (SIAM J. Matrix Anal. Appl., 2014)

Fast Sparse Selected Inversion. - Jianlin Xia; Yuanzhe Xi; Stephen Cauley; Venkataramanan Balakrishnan (SIAM J. Matrix Anal. Appl., 2015)

Schur complement-based domain decomposition preconditioners with low-rank corrections. - Ruipeng Li; Yuanzhe Xi; Yousef Saad (Numer. Linear Algebra Appl., 2016)

An Algebraic Multilevel Preconditioner with Low-Rank Corrections for Sparse Symmetric Matrices. - Yuanzhe Xi; Ruipeng Li; Yousef Saad (SIAM J. Matrix Anal. Appl., 2016)

On the Stability of Some Hierarchical Rank Structured Matrix Algorithms. - Yuanzhe Xi; Jianlin Xia (SIAM J. Matrix Anal. Appl., 2016)

A Thick-Restart Lanczos Algorithm with Polynomial Filtering for Hermitian Eigenvalue Problems. - Ruipeng Li; Yuanzhe Xi; Eugene Vecharynski; Chao Yang 001; Yousef Saad (SIAM J. Sci. Comput., 2016)

Computing Partial Spectra with Least-Squares Rational Filters. - Yuanzhe Xi; Yousef Saad (SIAM J. Sci. Comput., 2016)

A Rational Function Preconditioner For Indefinite Sparse Linear Systems. - Yuanzhe Xi; Yousef Saad (SIAM J. Sci. Comput., 2017)

Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver. - Jia Shi 004; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (SC, 2018)

SMASH: Structured matrix approximation by separation and hierarchy. - Difeng Cai; Edmond Chow; Lucas Erlandson; Yousef Saad; Yuanzhe Xi (Numer. Linear Algebra Appl., 2018)

A Hierarchical Low Rank Schur Complement Preconditioner for Indefinite Linear Systems. - Geoffrey Dillon; Vassilis Kalantzis; Yuanzhe Xi; Yousef Saad (SIAM J. Sci. Comput., 2018)

Beyond Automated Multilevel Substructuring: Domain Decomposition with Rational Filtering. - Vassilis Kalantzis; Yuanzhe Xi; Yousef Saad (SIAM J. Sci. Comput., 2018)

Fast Computation of Spectral Densities for Generalized Eigenvalue Problems. - Yuanzhe Xi; Ruipeng Li; Yousef Saad (SIAM J. Sci. Comput., 2018)

The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software. - Ruipeng Li; Yuanzhe Xi; Lucas Erlandson; Yousef Saad (SIAM J. Sci. Comput., 2019)

Fast and Accurate Tensor Decomposition without a High Performance Computing Machine. - Huan He; Yuanzhe Xi; Joyce C. Ho (IEEE BigData, 2020)

Accelerated SGD for Tensor Decomposition of Sparse Count Data. - Huan He; Yuanzhe Xi; Joyce C. Ho (ICDM (Workshops), 2020)

Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling. - Lucas Erlandson; Difeng Cai; Yuanzhe Xi; Edmond Chow (IPDPS, 2020)

An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images. - Xiaotong Chen; James L. Herring; James G. Nagy; Yuanzhe Xi; Bo Yu 003 (CoRR, 2020)

Structured FISTA for image restoration. - Zixuan Chen; James G. Nagy; Yuanzhe Xi; Bo Yu 003 (Numer. Linear Algebra Appl., 2020)

Multicolor low-rank preconditioner for general sparse linear systems. - Qingqing Zheng; Yuanzhe Xi; Yousef Saad (Numer. Linear Algebra Appl., 2020)

Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning. - Xiao Liu; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (SIAM J. Matrix Anal. Appl., 2020)

Generating a Doppelganger Graph: Resembling but Distinct. - Yuliang Ji; Ru Huang 003; Jie Chen 007; Yuanzhe Xi (CoRR, 2021)

Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions. - Difeng Cai; James G. Nagy; Yuanzhe Xi (CoRR, 2021)

Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning. - Vassilis Kalantzis; Yuanzhe Xi; Lior Horesh (CoRR, 2021)

Solve Minimax Optimization by Anderson Acceleration. - Huan He; Shifan Zhao; Yuanzhe Xi; Joyce C. Ho; Yousef Saad (CoRR, 2021)

Proxy-GMRES: Preconditioning via GMRES in Polynomial Space. - Xin Ye; Yuanzhe Xi; Yousef Saad (SIAM J. Matrix Anal. Appl., 2021)

A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems. - Qingqing Zheng; Yuanzhe Xi; Yousef Saad (SIAM J. Matrix Anal. Appl., 2021)

Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning. - Vassilis Kalantzis; Yuanzhe Xi; Lior Horesh (SIAM J. Sci. Comput., 2021)

Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility. - Jia Shi 004; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (IEEE Trans. Parallel Distributed Syst., 2021)

GDA-AM: On the Effectiveness of Solving Min-Imax Optimization via Anderson Mixing. - Huan He; Shifan Zhao; Yuanzhe Xi; Joyce C. Ho; Yousef Saad (ICLR, 2022)

AUTM flow: atomic unrestricted time machine for monotonic normalizing flows. - Difeng Cai; Yuliang Ji; Huan He; Qiang Ye 003; Yuanzhe Xi (UAI, 2022)

An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian. - Huan He; Shifan Zhao; Ziyuan Tang; Joyce C. Ho; Yousef Saad; Yuanzhe Xi (CoRR, 2022)

A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets. - Jia Shi 004; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (J. Sci. Comput., 2022)

parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices. - Tianshi Xu; Vassilis Kalantzis; Ruipeng Li; Yuanzhe Xi; Geoffrey Dillon; Yousef Saad (Parallel Comput., 2022)

Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference. - Le Mai Weakley; Jia Shi 004; Scott Michael; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (IEEE DataPort, 2022)

Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets. - Difeng Cai; James G. Nagy; Yuanzhe Xi (SIAM J. Matrix Anal. Appl., 2022)

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields. - Jiaying Lu 001; Yongchen Qian; Shifan Zhao; Yuanzhe Xi; Carl Yang 001 (EMNLP (Findings), 2023)

MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model. - Huan He; Shifan Zhao; Yuanzhe Xi; Joyce C. Ho (CoRR, 2023)

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. - Shifan Zhao; Tianshi Xu; Edmond Chow; Yuanzhe Xi (CoRR, 2023)

Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches. - Ru Huang 003; Kai Chang; Huan He; Ruipeng Li; Yuanzhe Xi (CoRR, 2023)

Learning Optimal Multigrid Smoothers via Neural Networks. - Ru Huang 003; Ruipeng Li; Yuanzhe Xi (SIAM J. Sci. Comput., 2023)

Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach. - Difeng Cai; Edmond Chow; Yuanzhe Xi (Numer. Linear Algebra Appl., 2023)

A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality. - Huan He; William Hao; Yuanzhe Xi; Yong Chen 016; Bradley A. Malin; Joyce C. Ho (ICLR, 2024)

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process. - Jiaying Lu 001; Shifan Zhao; Wenjing Ma; Hui Shao; Xiao Hu 002; Yuanzhe Xi; Carl Yang 001 (WWW (Companion Volume), 2024)

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling. - Shifan Zhao; Jiaying Lu 001; Carl Ji Yang; Edmond Chow; Yuanzhe Xi (CoRR, 2024)

Spectral-Refiner: Fine-Tuning of Accurate Spatiotemporal Neural Operator for Turbulent Flows. - Shuhao Cao; Francesco Brarda; Ruipeng Li; Yuanzhe Xi (CoRR, 2024)

Randomized linear solvers for computational architectures with straggling workers. - Vassilis Kalantzis; Yuanzhe Xi; Lior Horesh; Yousef Saad (CoRR, 2024)

Multiscale Neural Networks for Approximating Green's Functions. - Wenrui Hao; Ruipeng Li; Yuanzhe Xi; Tianshi Xu; Yahong Yang (CoRR, 2024)

Anderson Acceleration with Truncated Gram-Schmidt. - Ziyuan Tang; Tianshi Xu; Huan He; Yousef Saad; Yuanzhe Xi (SIAM J. Matrix Anal. Appl., 2024)

Data-Driven Construction of Hierarchical Matrices With Nested Bases. - Difeng Cai; Hua Huang; Edmond Chow; Yuanzhe Xi (SIAM J. Sci. Comput., 2024)

Reducing Operator Complexity of Galerkin Coarse-grid Operators with Machine Learning. - Ru Huang 003; Kai Chang; Huan He; Ruipeng Li; Yuanzhe Xi (SIAM J. Sci. Comput., 2024)

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices. - Shifan Zhao; Tianshi Xu; Hua Huang; Edmond Chow; Yuanzhe Xi (SIAM J. Sci. Comput., 2024)

nlTGCR: A Class of Nonlinear Acceleration Procedures Based on Conjugate Residuals. - Huan He; Ziyuan Tang; Shifan Zhao; Yousef Saad; Yuanzhe Xi (SIAM J. Matrix Anal. Appl., 2024)

Rethinking Neural-based Matrix Inversion: Why can't, and Where can. - Yuliang Ji; Jian Wu; Yuanzhe Xi (AISTATS, 2025)

Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows. - Shuhao Cao; Francesco Brarda; Ruipeng Li; Yuanzhe Xi (ICLR, 2025)

Posterior Covariance Structures in Gaussian Processes. - Difeng Cai; Edmond Chow; Yuanzhe Xi (SIAM J. Matrix Anal. Appl., 2025)

HiGP: A high-performance Python package for Gaussian Process. - Hua Huang; Tianshi Xu; Yuanzhe Xi; Edmond Chow (CoRR, 2025)

Preconditioned Additive Gaussian Processes with Fourier Acceleration. - Theresa Wagner; Tianshi Xu; Franziska Nestler; Yuanzhe Xi; Martin Stoll (CoRR, 2025)

Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems. - Tianshi Xu; Zechen Zhang; Jie Chen 007; Yousef Saad; Yuanzhe Xi (CoRR, 2025)