activity
20162026
most citedDiffusion Profile for Random Band Matrices: a Short Proof

11 citations · 40 across the 12 of their papers we have counts for

collaborators

12 papers

math-ph2026

Free energy and spectral edge of the SYK model

Yukun He

We introduce a microscopic framework that gives the first rigorous derivation of the Schwinger--Dyson thermodynamics of the Sachdev--Ye--Kitaev model. For fixed, even interaction o…

math.PR2023

Edge universality of sparse Erdős-Rényi digraphs

Yukun He

Let be the adjacency matrix of the Erdős-Rényi directed graph . We denote the eigenvalues of by , and $|λ_…

math.PR2022★ 5 cited

Spectral gap and edge universality of dense random regular graphs

Yukun He

Let be the adjacency matrix of a random -regular graph on vertices, and we denote its eigenvalues by . For ,…

cs.LG2022★ 1 cited

Towards IID representation learning and its application on biomedical data

Jiqing Wu, Inti Zlobec, Maxime Lafarge +2

Due to the heterogeneity of real-world data, the widely accepted independent and identically distributed (IID) assumption has been criticized in recent studies on causality. In thi…

math.PR2020★ 2 cited

Fluctuations of extreme eigenvalues of sparse Erdős-Rényi graphs

Yukun He, Antti Knowles

We consider a class of sparse random matrices which includes the adjacency matrix of the Erdős-Rényi graph . We show that if $N^{\varepsilon} \leq Np \leq N^{1/3-…

cs.LG2018★ 6 cited

Efficient Two-Step Adversarial Defense for Deep Neural Networks

Ting-Jui Chang, Yukun He, Peng Li

In recent years, deep neural networks have demonstrated outstanding performance in many machine learning tasks. However, researchers have discovered that these state-of-the-art mod…

math.PR2018★ 1 cited

Local law and complete eigenvector delocalization for supercritical Erdős-Rényi graphs

Yukun He, Antti Knowles, Matteo Marcozzi

We prove a local law for the adjacency matrix of the Erdős-Rényi graph in the supercritical regime where has with high probability no isolated…

math.PR2018★ 1 cited

Mesoscopic eigenvalue density correlations of Wigner matrices

Yukun He, Antti Knowles

We investigate to what extent the microscopic Wigner-Gaudin-Mehta-Dyson (WGMD) (or sine kernel) statistics of random matrix theory remain valid on mesoscopic scales. To that end, w…

math-ph2018★ 11 cited

Diffusion Profile for Random Band Matrices: a Short Proof

Yukun He, Matteo Marcozzi

Let be a Hermitian random matrix whose entries are independent, centred random variables with variances , where $x, y \in (\mathbb Z/L\ma…

math.PR2018★ 8 cited

Mesoscopic linear statistics of Wigner matrices of mixed symmetry class

Yukun He

We prove a central limit theorem for the mesoscopic linear statistics of Wigner matrices satisfying and , where…

math.PR2016★ 2 cited

Isotropic self-consistent equations for mean-field random matrices

Yukun He, Antti Knowles, Ron Rosenthal

We present a simple and versatile method for deriving (an)isotropic local laws for general random matrices constructed from independent random variables. Our method is applicable t…

math.PR2016★ 3 cited

Mesoscopic eigenvalue statistics of Wigner matrices

Yukun He, Antti Knowles

We prove that the linear statistics of the eigenvalues of a Wigner matrix converge to a universal Gaussian process on all mesoscopic spectral scales, i.e. scales larger than the ty…