Publications

Publications are grouped into journal articles, conference papers, and workshop papers, with entries ordered by year from newest to oldest within each section. Citation records and indexing are available through Google Scholar.

Google Scholar

Journal Articles

  1. Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization

    T. Xu, D. Cai, H. Huang, E. Chow, and Y. Xi. SIAM Journal on Matrix Analysis and Applications, 2026, to appear.

    Paper
  2. A Joint Variational Framework for Multimodal X-ray Ptychography and Fluorescence Reconstruction

    E. Zou, E. Buser, W. Di, and Y. Xi. SIAM Journal on Imaging Sciences, 2026, to appear.

    PaperCode
  3. Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems

    T. Xu, Z. Zhang, J. Chen, Y. Saad, and Y. Xi. SIAM Journal on Scientific Computing, 48(3), B544-B568, 2026.

    PaperCode
  4. Design Criteria for SGD Preconditioners: Local Conditioning, Noise Floors, and Basin Stability

    M. Scott, T. Xu, Z. Tang, A. Pichette-Emmons, Q. Ye, Y. Saad, and Y. Xi. Transactions on Machine Learning Research, 2026.

    PaperVideo
  5. Degree-Corrected Deep Single Graph Generation

    Y. Ji, J. Chen, and Y. Xi. Research in the Mathematical Sciences, 13(3), article 67, 2026.

    Paper
  6. Preconditioned Additive Gaussian Processes with Fourier Acceleration

    T. Wagner, F. Nestler, T. Xu, Y. Xi, and M. Stoll. Foundations of Data Science, Early Access, 2026.

    PaperCode
  7. Multiscale Neural Networks for Approximating Green's Functions

    W. Hao, R. Li, Y. Xi, T. Xu, and Y. Yang. SIAM Journal on Scientific Computing, 48, C240-C270, 2026.

    PaperCode
  8. HiGP: A high-performance Python package for Gaussian Processes

    H. Huang, T. Xu, Y. Xi, and E. Chow. Journal of Open Source Software, 11(117), 8621, 2026.

    PaperCode
  9. Posterior Covariance Structures in Gaussian Processes

    D. Cai, E. Chow, and Y. Xi. SIAM Journal on Matrix Analysis and Applications, 46(2), 1640-1673, 2025.

    Paper
  10. Straggler-tolerant stationary methods for linear systems

    V. Kalantzis, Y. Xi, L. Horesh, and Y. Saad. SIAM Journal on Scientific Computing, 2025, S1-S22.

    Paper
  11. Anderson Acceleration with Truncated Gram-Schmidt

    Z. Tang, T. Xu, H. He, Y. Saad, and Y. Xi. SIAM Journal on Matrix Analysis and Applications, 45(4), 1850-1872, 2024.

    Paper
  12. Reducing Operator Complexity of Galerkin Coarse-grid Operators with Machine Learning

    R. Huang, K. Chang, H. He, R. Li, and Y. Xi. SIAM Journal on Scientific Computing, 46(5), S296-S316, 2024.

    PaperCode
  13. An Adaptive Factorized Nystrom Preconditioner for Regularized Kernel Matrices

    S. Zhao, T. Xu, H. Huang, E. Chow, and Y. Xi. SIAM Journal on Scientific Computing, 46(4), A2351-A2376, 2024.

    PaperCode
  14. NLTGCR: A class of Nonlinear Acceleration Procedures based on Conjugate Residuals

    H. He, Z. Tang, S. Zhao, Y. Saad, and Y. Xi. SIAM Journal on Matrix Analysis and Applications, 45(1), 712-743, 2024.

    PaperCode
  15. Data-driven construction of hierarchical matrices with nested bases

    D. Cai, H. Huang, E. Chow, and Y. Xi. SIAM Journal on Scientific Computing, 46(2), S24-S50, 2024.

    PaperCode
  16. Data-Driven Linear Complexity Low-Rank Approximation of General Kernel Matrices: A Geometric Approach

    D. Cai, E. Chow, and Y. Xi. Numerical Linear Algebra with Applications, 30(6), e2519, 2023.

    PaperCode
  17. Learning optimal multigrid smoothers via neural networks

    R. Huang, R. Li, and Y. Xi. SIAM Journal on Scientific Computing, 45(3), S199-S225, 2023.

    PaperCode
  18. parGeMSLR: A Parallel Multilevel Schur Complement Low-Rank Preconditioning and Solution Package for General Sparse Matrices

    T. Xu, V. Kalantzis, R. Li, Y. Xi, G. Dillon, and Y. Saad. Parallel Computing, 113, 2022, 102956.

    PaperCode
  19. Fast deterministic approximation of symmetric indefinite kernel matrices with high dimensional datasets

    D. Cai, J. Nagy, and Y. Xi. SIAM Journal on Matrix Analysis and Applications, 43(2), 1003-1028, 2022.

    PaperCode
  20. A Rayleigh-Ritz method based approach to computing seismic normal modes in the presence of an essential spectrum

    J. Shi, R. Li, Y. Xi, Y. Saad, and M. de Hoop. Journal of Scientific Computing, 91, article 67, 2022.

    PaperCode
  21. Fast Randomized Non-Hermitian Eigensolvers Based on Rational Filtering and Matrix Partitioning

    V. Kalantzis, Y. Xi, and L. Horesh. SIAM Journal on Scientific Computing, 43(5), S791-S815, 2021.

    Paper
  22. Proxy-GMRES: Preconditioning via GMRES in Polynomial Space

    X. Ye, Y. Xi, and Y. Saad. SIAM Journal on Matrix Analysis and Applications, 42(3), 1248-1267, 2021.

    PaperCode
  23. A Power Schur Complement Low-Rank Correction Preconditioner for General Sparse Linear Systems

    Q. Zheng, Y. Xi, and Y. Saad. SIAM Journal on Matrix Analysis and Applications, 42(2), 659-682, 2021.

    Code
  24. Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility

    J. Shi, R. Li, Y. Xi, Y. Saad, and M. de Hoop. IEEE Transactions on Parallel and Distributed Systems, 32(11), 2609-2622, 2021.

    PaperCode
  25. An ADMM-LAP Method for Total Variation Myopic Deconvolution of Adaptive Optics Retinal Images

    X. Chen, J. Herring, J. Nagy, Y. Xi, and B. Yu. Inverse Problems, 37(1), article 014001, 2021.

    Paper
  26. Multi-Color Low-Rank Preconditioner for General Sparse Linear Systems

    Q. Zheng, Y. Xi, and Y. Saad. Numerical Linear Algebra with Applications, 27, e2316, 2020.

    PaperCode
  27. Solving the 3D High-Frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning

    X. Liu, Y. Xi, Y. Saad, and M. de Hoop. SIAM Journal on Matrix Analysis and Applications, 41(1), 58-82, 2020.

    PaperCode
  28. Structured FISTA for Image Restoration

    Z. Chen, J. Nagy, Y. Xi, and B. Yu. Numerical Linear Algebra with Applications, 27(2), e2278, 2020.

    Paper
  29. EVSL: Eigenvalues Slicing Library: Algorithms, Methods, and Software Description

    R. Li, Y. Xi, L. Erlandson, and Y. Saad. SIAM Journal on Scientific Computing, 41(4), C393-C415, 2019.

    PaperCode
  30. Fast Computation of Spectral Densities for Generalized Eigenvalue Problems

    Y. Xi, R. Li, and Y. Saad. SIAM Journal on Scientific Computing, 40(4), A2749-A2773, 2018.

    Paper
  31. SMASH: Structured Matrix Approximation by Separation and Hierarchy

    D. Cai, E. Chow, L. Erlandson, Y. Saad, and Y. Xi. Numerical Linear Algebra with Applications, 25, e2204, 2018.

    Paper
  32. A Hierarchical Low-Rank Schur Complement Preconditioner for Indefinite Linear Systems

    G. Dillon, V. Kalantzis, Y. Xi, and Y. Saad. SIAM Journal on Scientific Computing, 40(4), A2234-A2252, 2018.

    PaperCode
  33. Beyond AMLS: Domain Decomposition with Rational Filtering

    V. Kalantzis, Y. Xi, and Y. Saad. SIAM Journal on Scientific Computing, 40(3), C477-C502, 2018.

    Paper
  34. A Rational Function Preconditioner for Indefinite Sparse Linear Systems

    Y. Xi and Y. Saad. SIAM Journal on Scientific Computing, 39(3), A1145-A1167, 2017.

    Paper
  35. Computing Partial Spectra with Least-Squares Rational Filters

    Y. Xi and Y. Saad. SIAM Journal on Scientific Computing, 38(5), A3020-A3045, 2016.

    Paper
  36. On the Stability of Some Hierarchical Rank Structured Matrix Algorithms

    Y. Xi and J. Xia. SIAM Journal on Matrix Analysis and Applications, 37(3), 1279-1303, 2016.

    Paper
  37. A Thick-Restart Lanczos Algorithm with Polynomial Filtering for Hermitian Eigenvalue Problems

    R. Li, Y. Xi, E. Vecharynski, C. Yang, and Y. Saad. SIAM Journal on Scientific Computing, 38(4), A2512-A2534, 2016.

    PaperCode
  38. Schur Complement Based Domain Decomposition Preconditioners with Low-Rank Corrections

    R. Li, Y. Xi, and Y. Saad. Numerical Linear Algebra with Applications, 23(4), 706-729, 2016.

    PaperCode
  39. An Algebraic Multilevel Preconditioner with Low-Rank Corrections for Sparse Symmetric Matrices

    Y. Xi, R. Li, and Y. Saad. SIAM Journal on Matrix Analysis and Applications, 37(1), 235-259, 2016.

    PaperCode
  40. Fast Sparse Selected Inversion

    J. Xia, Y. Xi, S. Cauley, and V. Balakrishnan. SIAM Journal on Matrix Analysis and Applications, 36(3), 1283-1314, 2015.

    Paper
  41. Fast Reconstruction for Multi-Channel Compressed Sensing Using a Hierarchically Semiseparable Solver

    S. Cauley, Y. Xi, B. Bilgic, J. Xia, E. Adalsteinsson, V. Balakrishnan, L. Wald, and K. Setsompop. Magnetic Resonance in Medicine, 73(3), 1034-1040, 2015.

    Paper
  42. A Fast Randomized Eigensolver with Structured LDL Factorization Update

    Y. Xi, J. Xia, and R. Chan. SIAM Journal on Matrix Analysis and Applications, 35(3), 974-996, 2014.

    Paper
  43. Superfast and Stable Structured Solvers for Toeplitz Least Squares via Randomized Sampling

    Y. Xi, J. Xia, S. Cauley, and V. Balakrishnan. SIAM Journal on Matrix Analysis and Applications, 35(1), 44-72, 2014.

    Paper
  44. A Superfast Structured Solver for Toeplitz Linear Systems via Randomized Sampling

    J. Xia, Y. Xi, and M. Gu. SIAM Journal on Matrix Analysis and Applications, 33(3), 837-858, 2012.

    Paper

Conference Papers

  1. Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows

    S. Cao, F. Brarda, R. Li, and Y. Xi. International Conference on Learning Representations, 2025.

    PaperCode
  2. Rethinking Neural-Based Matrix Inversion: Why Can't, and Where Can

    Y. Ji, J. Wu, and Y. Xi. Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, PMLR 258:3583-3591, 2025.

    PaperOpenReviewCode
  3. A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality

    H. He, Y. Hao, Y. Xi, Y. Chen, B. Malin, and J. Ho. International Conference on Learning Representations, 2024.

    Paper
  4. Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process

    J. Lu, S. Zhao, W. Ma, H. Shao, X. Hu, Y. Xi, and C. Yang. Companion Proceedings of the ACM Web Conference, pp. 1162-1165, 2024.

    Paper
  5. MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields

    J. Lu, Y. Qian, S. Zhao, Y. Xi, and C. Yang. Findings of the Association for Computational Linguistics: EMNLP 2023, pp. 5332-5346.

    PaperarXivCode
  6. AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows

    D. Cai, Y. Ji, H. He, Q. Ye, and Y. Xi. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, PMLR 180:266-274, 2022.

    PaperOpenReview
  7. GDA-AM: Solve Minimax Optimization by Anderson Mixing

    H. He, S. Zhao, Y. Xi, J. Ho, and Y. Saad. International Conference on Learning Representations, 2022.

    PaperCode
  8. Fast and Accurate Tensor Decomposition without a High Performance Computing Machine

    H. He, Y. Xi, and J. Ho. IEEE International Conference on Big Data, pp. 163-170, 2020.

    PaperCode
  9. Accelerating Parallel Hierarchical Matrix-Vector Products via Data-Driven Sampling

    L. Erlandson, D. Cai, Y. Xi, and E. Chow. 34th IEEE International Parallel and Distributed Processing Symposium, pp. 749-758, 2020.

    Paper
  10. Computing Planetary Interior Normal Modes with a Highly Parallel Polynomial Filtering Eigensolver

    J. Shi, R. Li, Y. Xi, Y. Saad, and M. V. de Hoop. International Conference for High Performance Computing, Networking, Storage, and Analysis, pp. 894-906, 2018.

    PaperCode

Workshop Papers

  1. AGE: Enhancing the Convergence on GANs Using Alternating Extra-Gradient with Gradient Extrapolation

    H. He, Y. Xi, and J. Ho. Deep Generative Models and Applications at NeurIPS, oral presentation, 2021.

    Paper
  2. Accelerated SGD for Tensor Decomposition of Sparse Count Data

    H. He, Y. Xi, and J. Ho. IEEE International Conference on Data Mining Workshops, pp. 284-291, 2020.

    Paper