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Nan Wu
Nan Wu
Assistant Professor, The University of Texas at Dallas
Verified email at utdallas.edu
Title
Cited by
Cited by
Year
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
44*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
312018
Graph based Gaussian processes on restricted domains
DB Dunson, HT Wu, N Wu
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022
12*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
102019
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
62022
When locally linear embedding hits boundary
H Wu, N Wu
arXiv preprint arXiv:1811.04423, 2018
62018
Inferring manifolds from noisy data using gaussian processes
DB Dunson, N Wu
arXiv preprint arXiv:2110.07478, 2021
52021
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
4*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
32022
Length of a shortest closed geodesic in manifolds of dimension four
N Wu, Z Zhu
arXiv preprint arXiv:1702.07033, 2017
32017
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
12020
Asymptotic Analysis of Locally Linear Embedding
N Wu
University of Toronto (Canada), 2018
2018
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Articles 1–12