Nan Wu
Nan Wu
Assistant Professor, The University of Texas at Dallas
Verified email at
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Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in L∞ from Random Samples
DB Dunson, HT Wu, N Wu
Applied and Computational Harmonic Analysis 55, 282-336, 2021
Think globally, fit locally under the manifold setup: Asymptotic analysis of locally linear embedding
HT Wu, N Wu
The Annals of Statistics 46 (6B), 3805-3837, 2018
Graph based Gaussian processes on restricted domains
DB Dunson, HT Wu, N Wu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
Connecting dots: from local covariance to empirical intrinsic geometry and locally linear embedding
J Malik, C Shen, HT Wu, N Wu
Pure and Applied Analysis 1 (4), 515-542, 2019
Strong uniform consistency with rates for kernel density estimators with general kernels on manifolds
HT Wu, N Wu
Information and Inference: A Journal of the IMA 11 (2), 781-799, 2022
When locally linear embedding hits boundary
H Wu, N Wu
arXiv preprint arXiv:1811.04423, 2018
Inferring manifolds from noisy data using gaussian processes
DB Dunson, N Wu
arXiv preprint arXiv:2110.07478, 2021
Data-driven efficient solvers for Langevin dynamics on manifold in high dimensions
Y Gao, JG Liu, N Wu
Applied and Computational Harmonic Analysis 62, 261-309, 2023
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation
X Cheng, N Wu
Applied and Computational Harmonic Analysis 61, 132-190, 2022
Length of a shortest closed geodesic in manifolds of dimension four
N Wu, Z Zhu
arXiv preprint arXiv:1702.07033, 2017
An upper bound for the smallest area of a minimal surface in manifolds of dimension four
N Wu, Z Zhu
The Journal of Geometric Analysis 30 (1), 573-600, 2020
Asymptotic Analysis of Locally Linear Embedding
N Wu
University of Toronto (Canada), 2018
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