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 | 31 | 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 | 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 | 10 | 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 | 6 | 2022 |

When locally linear embedding hits boundary H Wu, N Wu arXiv preprint arXiv:1811.04423, 2018 | 6 | 2018 |

Inferring manifolds from noisy data using gaussian processes DB Dunson, N Wu arXiv preprint arXiv:2110.07478, 2021 | 5 | 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 | 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 | 3 | 2022 |

Length of a shortest closed geodesic in manifolds of dimension four N Wu, Z Zhu arXiv preprint arXiv:1702.07033, 2017 | 3 | 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 | 1 | 2020 |

Asymptotic Analysis of Locally Linear Embedding N Wu University of Toronto (Canada), 2018 | | 2018 |