PhD student: Meijia Shao (2023--2024 Whitney Research Award, Statistics@Ohio State U)
Representative papers
Edgeworth expansions for network moments [PDF]
[Slides]
[MATLAB code]
Yuan Zhang and Dong Xia Annals of Statistics, 2022
Estimating network edge probabilities by neighborhood smoothing
[PDF] [MATLAB code] [Python code (by Yun-Jhong Wu)]
Yuan Zhang, Elizaveta Levina and Ji Zhu
Student Paper Award, 2016 American Statistical Association Section on Nonparametric Statistics Biometrika, 2017
L-2 Regularized maximum likelihood for β-model in large and sparse networks [PDF]
[MATLAB code] Meijia Shao, Yu Zhang, Qiuping Wang, Yuan Zhang, Jing Luo and Ting Yan
In submission
Higher-order accurate two-sample network inference and network hashing [PDF]
[Slides][MATLAB code]
Meijia Shao, Dong Xia, Yuan Zhang, Qiong Wu and Shuo Chen
In submission
NEW!Distribution-free matrix prediction under arbitrary missing pattern [PDF] [MATLAB code]
Meijia Shao and Yuan Zhang
In submission
NEW!U-statistic reduction: higher-order accurate risk control and statistical-computational trade-off, with application to network method-of-moments [PDF]
Meijia Shao, Dong Xia and Yuan Zhang
In submission
Other papers
A multivariate to multivariate approach for voxel-wise genome-wide association analysis
[PDF]
Qiong Wu, Yuan Zhang, Xiaoqi Huang, Tianzhou Ma, Elliot Hong, Peter Kochunov and Shuo Chen
Statistics in Medicine, In press, 2024+
Network method for voxel-pair-level brain connectivity data with spatial contiguity constraint
[PDF]
Tong Lu, Yuan Zhang, Peter Kochunov, Elliot Hong and Shuo Chen
Annals of Applied Statistics, 2024
An in-depth association analysis of genetic variants within nicotine-related loci: Meeting in middle of GWAS and genetic fine-mapping
[PDF]
Chen Mo, Zhenyao Ye, Yezhi Pan, Yuan Zhang, Qiong Wu, Chuan Bi, Song Liu, Braxton Mitchell, Peter Kochunov, L. Elliot Hong, Tianzhou Ma, Shuo Chen
Molecular and Cellular Neuroscience, 2023
Latent space model for higher-order networks and generalized tensor decomposition
[PDF]
Zhongyuan Lyu, Dong Xia and Yuan Zhang
Journal of Computational and Graphical Statistics, 2023
Identifying covariate-related subnetworks for whole-brain connectome analysis
[PDF]
Shuo Chen, Yuan Zhang, Qiong Wu, Chuan Bi, Peter Kochunov and Elliot Hong
Biostatistics, 2023
Asymptotic theory in bipartite graph models with a growing number of parameters
[PDF]
Yifan Fan, Binyan Jiang, Ting Yan and Yuan Zhang
Canadian Journal of Statistics, 2023
Time-varying β-model for dynamic directed networks
[PDF]
Yuqing Du, Lianqiang Qu, Ting Yan and Yuan Zhang
Scandinavian Journal of Statistics, 2023
Asymptotic theory in network models with covariates and a growing number of node parameters
[PDF]
Qiuping Wang, Yuan Zhang and Ting Yan
Annals of the Institute of Statistical Mathematics, 2022
ICN: extracting interconnected communities in gene co-expression networks
[PDF]
Qiong Wu, Tianzhou Ma, Qingzhi Liu, Donald K Milton, Yuan Zhang, Shuo Chen
Bioinformatics, 2021
Detecting overlapping communities in networks using spectral methods
[PDF] [MATLAB code] Yuan Zhang, Elizaveta Levina and Ji Zhu
SIAM Journal on Mathematics of Data Science, 2020
Community detection in networks with node features
[PDF] [R code
(Run "JCDC.r", requires library "RcppArmadillo")]
Yuan Zhang, Elizaveta Levina and Ji Zhu
Best Student Paper Award, workshop ``Frontiers of Network Analysis: Methods, Models, and Applications'', NIPS 2013
Electronic Journal of Statistics, 2016
Consistent polynomial-time unseeded graph matching for Lipschitz graphons[PDF] Yuan Zhang
In preparation
Unseeded low-rank graph matching by transform-based unsupervised point registration
[PDF] Yuan Zhang
In preparation
Quote: "Noblesse Oblige"
Last major update: 26 August 2022