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Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project)

The Lancet (British edition), 2017-12, Vol.390 (10112), p.2549-2558

2017

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Detection of differentially abundant cell subpopulations in scRNA-seq data

Proceedings of the National Academy of Sciences - PNAS, 2021-06, Vol.118 (22), p.1

2021

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Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions

Scientific reports, 2022-10, Vol.12 (1), p.16630-29, Article 16630

2022

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Nucleation of ordered phases in block copolymers

Physical review letters, 2010-04, Vol.104 (14), p.148301-148301, Article 148301

2010

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On matrix rearrangement inequalities

Proceedings of the American Mathematical Society, 2020-05, Vol.148 (5), p.1835-1848

2020

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Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation

Applied and computational harmonic analysis, 2022-11, Vol.61, p.132-190

2022

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Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities

IEEE transactions on information theory, 2022-10, Vol.68 (10), p.6631-6662

2022

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A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials

Frontiers in applied mathematics and statistics, 2020-08, Vol.6

2020

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Kernel two-sample tests for manifold data

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 2024-11, Vol.30 (4)

2024

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Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

Information and Inference: A Journal of the IMA, 2024-12, Vol.13 (4)

2024

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Neural Stein Critics With Staged L2-Regularization

IEEE transactions on information theory, 2023-11, p.1-1

2023

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Neural Stein Critics With Staged L 2 -Regularization

IEEE transactions on information theory, 2023-11, Vol.69 (11), p.7246-7275

2023

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A numerical method for the study of nucleation of ordered phases

Journal of computational physics, 2010-03, Vol.229 (5), p.1797-1809

2010

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Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian

SIAM journal on imaging sciences, 2020, Vol.13 (2), p.1015-1048

2020

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The G-invariant graph Laplacian part II: Diffusion maps

Applied and computational harmonic analysis, 2024-11, Vol.73, p.101695, Article 101695

2024

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Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling

SIAM journal on mathematics of data science, 2023-09, Vol.5 (3), p.589-614

2023

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Subcritical bifurcation in spatially extended systems

Nonlinearity, 2012-03, Vol.25 (3), p.761-779

2012

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Convergence of flow-based generative models via proximal gradient descent in Wasserstein space

IEEE transactions on information theory, 2024-07, p.1-1

2024

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THE SPECTRUM OF RANDOM INNER-PRODUCT KERNEL MATRICES

Random matrices, theory and applications, 2013-10, Vol.2 (4), p.1350010

2013

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On the diffusion geometry of graph Laplacians and applications

Applied and computational harmonic analysis, 2019-05, Vol.46 (3), p.674-688

2019

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Convergence of graph Laplacian with kNN self-tuned kernels

Information and Inference: A Journal of the IMA, 2022-09, Vol.11 (3), p.889-957

2022

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The G-invariant graph Laplacian Part I: Convergence rate and eigendecomposition

Applied and computational harmonic analysis, 2024-07, Vol.71, p.101637, Article 101637

2024

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Concentration of the Kirchhoff index for Erdős–Rényi graphs

Systems & control letters, 2014-12, Vol.74, p.74-80

2014

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Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks

Communications in computational physics, 2020-11, Vol.28 (5), p.1838-1885

Li, Yingzhou

2020

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Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, p.7255-7259

2024

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Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project)

Detection of differentially abundant cell subpopulations in scRNA-seq data

Statistical inference using GLEaM model with spatial heterogeneity and correlation between regions

Nucleation of ordered phases in block copolymers

On matrix rearrangement inequalities

Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation

Classification Logit Two-Sample Testing by Neural Networks for Differentiating Near Manifold Densities

A Witness Function Based Construction of Discriminative Models Using Hermite Polynomials

Kernel two-sample tests for manifold data

Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

Neural Stein Critics With Staged L2-Regularization

Neural Stein Critics With Staged L 2 -Regularization

A numerical method for the study of nucleation of ordered phases

Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian

The G-invariant graph Laplacian part II: Diffusion maps

Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling

Subcritical bifurcation in spatially extended systems

Convergence of flow-based generative models via proximal gradient descent in Wasserstein space

THE SPECTRUM OF RANDOM INNER-PRODUCT KERNEL MATRICES

On the diffusion geometry of graph Laplacians and applications

Convergence of graph Laplacian with kNN self-tuned kernels

The G-invariant graph Laplacian Part I: Convergence rate and eigendecomposition

Concentration of the Kirchhoff index for Erdős–Rényi graphs

Butterfly-Net: Optimal Function Representation Based on Convolutional Neural Networks

Stage-Regularized Neural Stein Critics For Testing Goodness-Of-Fit Of Generative Models

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