activity
20132026
most citedBulk universality of sparse random matrices

69 citations · 455 across the 44 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

math.PR2021★ 2 cited

Long Random Matrices and Tensor Unfolding

Gérard Ben Arous, Daniel Zhengyu Huang, Jiaoyang Huang

In this paper, we consider the singular values and singular vectors of low rank perturbations of large rectangular random matrices, in the regime the matrix is "long": we allow the…

math.PR2021★ 6 cited

Edge Statistics for Lozenge Tilings of Polygons, II: Airy Line Ensemble

Amol Aggarwal, Jiaoyang Huang

We consider uniformly random lozenge tilings of simply connected polygons subject to a technical assumption on their limit shape. We show that the edge statistics around any point…

math.PR2021★ 2 cited

Edge Statistics for Lozenge Tilings of Polygons, I: Concentration of Height Function on Strip Domains

Jiaoyang Huang

In this paper we study uniformly random lozenge tilings of strip domains. Under the assumption that the limiting arctic boundary has at most one cusp, we prove a nearly optimal con…

math.PR2021★ 5 cited

Large Deviations Asymptotics of Rectangular Spherical Integral

Alice Guionnet, Jiaoyang Huang

In this article we study the Dyson Bessel process, which describes the evolution of singular values of rectangular matrix Brownian motions, and prove a large deviation principle fo…

math.NA2021★ 2 cited

Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution

Daniel Z. Huang, Jiaoyang Huang

The unscented Kalman inversion (UKI) method presented in [1] is a general derivative-free approach for the inverse problem. UKI is particularly suitable for inverse problems where…

math.NA2021★ 4 cited

Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model

Daniel Z. Huang, Jiaoyang Huang

The unscented Kalman inversion (UKI) presented in [1] is a general derivative-free approach to solving the inverse problem. UKI is particularly suitable for inverse problems where…

math.PR2021★ 7 cited

Spectrum of Random -regular Graphs Up to the Edge

Jiaoyang Huang, Horng-Tzer Yau

Consider the normalized adjacency matrices of random -regular graphs on vertices with fixed degree . We prove that, with probability for any…