Yuanzhe Xi

Orcid: 0000-0003-0361-0931

According to our database1, Yuanzhe Xi authored at least 47 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
nlTGCR: A Class of Nonlinear Acceleration Procedures Based on Conjugate Residuals.
SIAM J. Matrix Anal. Appl., March, 2024

Anderson Acceleration with Truncated Gram-Schmidt.
CoRR, 2024

2023
Data-driven linear complexity low-rank approximation of general kernel matrices: A geometric approach.
Numer. Linear Algebra Appl., December, 2023

Learning Optimal Multigrid Smoothers via Neural Networks.
SIAM J. Sci. Comput., June, 2023

Reducing operator complexity in Algebraic Multigrid with Machine Learning Approaches.
CoRR, 2023

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices.
CoRR, 2023

MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model.
CoRR, 2023

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Fast Deterministic Approximation of Symmetric Indefinite Kernel Matrices with High Dimensional Datasets.
SIAM J. Matrix Anal. Appl., June, 2022

Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference.
Dataset, May, 2022

parGeMSLR: A parallel multilevel Schur complement low-rank preconditioning and solution package for general sparse matrices.
Parallel Comput., 2022

A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets.
J. Sci. Comput., 2022

An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian.
CoRR, 2022

Data-driven Construction of Hierarchical Matrices with Nested Bases.
CoRR, 2022

AUTM flow: atomic unrestricted time machine for monotonic normalizing flows.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

GDA-AM: On the Effectiveness of Solving Min-Imax Optimization via Anderson Mixing.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility.
IEEE Trans. Parallel Distributed Syst., 2021

Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning.
SIAM J. Sci. Comput., 2021

A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems.
SIAM J. Matrix Anal. Appl., 2021

Proxy-GMRES: Preconditioning via GMRES in Polynomial Space.
SIAM J. Matrix Anal. Appl., 2021

Solve Minimax Optimization by Anderson Acceleration.
CoRR, 2021

Fast randomized non-Hermitian eigensolver based on rational filtering and matrix partitioning.
CoRR, 2021

Fast and stable deterministic approximation of general symmetric kernel matrices in high dimensions.
CoRR, 2021

Generating a Doppelganger Graph: Resembling but Distinct.
CoRR, 2021

2020
Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning.
SIAM J. Matrix Anal. Appl., 2020

Multicolor low-rank preconditioner for general sparse linear systems.
Numer. Linear Algebra Appl., 2020

Structured FISTA for image restoration.
Numer. Linear Algebra Appl., 2020

An ADMM-LAP method for total variation blind deconvolution of adaptive optics retinal images.
CoRR, 2020

Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Accelerated SGD for Tensor Decomposition of Sparse Count Data.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Fast and Accurate Tensor Decomposition without a High Performance Computing Machine.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software.
SIAM J. Sci. Comput., 2019

2018
Fast Computation of Spectral Densities for Generalized Eigenvalue Problems.
SIAM J. Sci. Comput., 2018

Beyond Automated Multilevel Substructuring: Domain Decomposition with Rational Filtering.
SIAM J. Sci. Comput., 2018

A Hierarchical Low Rank Schur Complement Preconditioner for Indefinite Linear Systems.
SIAM J. Sci. Comput., 2018

SMASH: Structured matrix approximation by separation and hierarchy.
Numer. Linear Algebra Appl., 2018

Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver.
Proceedings of the International Conference for High Performance Computing, 2018

2017
A Rational Function Preconditioner For Indefinite Sparse Linear Systems.
SIAM J. Sci. Comput., 2017

2016
Computing Partial Spectra with Least-Squares Rational Filters.
SIAM J. Sci. Comput., 2016

A Thick-Restart Lanczos Algorithm with Polynomial Filtering for Hermitian Eigenvalue Problems.
SIAM J. Sci. Comput., 2016

On the Stability of Some Hierarchical Rank Structured Matrix Algorithms.
SIAM J. Matrix Anal. Appl., 2016

An Algebraic Multilevel Preconditioner with Low-Rank Corrections for Sparse Symmetric Matrices.
SIAM J. Matrix Anal. Appl., 2016

Schur complement-based domain decomposition preconditioners with low-rank corrections.
Numer. Linear Algebra Appl., 2016

2015
Fast Sparse Selected Inversion.
SIAM J. Matrix Anal. Appl., 2015

2014
Superfast and Stable Structured Solvers for Toeplitz Least Squares via Randomized Sampling.
SIAM J. Matrix Anal. Appl., 2014

A Fast Randomized Eigensolver with Structured LDL Factorization Update.
SIAM J. Matrix Anal. Appl., 2014

2012
A Superfast Structured Solver for Toeplitz Linear Systems via Randomized Sampling.
SIAM J. Matrix Anal. Appl., 2012


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