Welcome to Yuan's homepage!

Yuan Zhang Associate Professor Department of Statistics The Ohio State University Address 440G Cockins Hall 1958 Neil Avenue Columbus, OH 43210 Email yzhanghf@stat.osu.edu (The ``hf'' stands for my hometown Hefei, Anhui, China.)

PhD alumni

• Meijia Shao
  Graduation: December 2023 (Thesis)
  Honor: 2023--2024 Whitney Research Award, Department of Statistics, Ohio State University
  First position: Meta Platforms (Menlo Park)

Current PhD students

• Torey Hilbert (co-advised with Steven MacEachern)
• Kiljae Lee
• Fangyi Wang (co-advised with Sebastian Kurtek)
• Qian Zhou

Representative papers

• Faithful Group Shapley Value [PDF] [Code]
  Kiljae Lee, Ziqi Liu, Weijing Tang and Yuan Zhang
  Honorable Mention for Best Paper, ICML 2025 Workshop ``DataWorld: Unifying Data Curation Frameworks Across Domains''
  NeurIPS, 2025


• 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
  Journal of the American Statistical Association, In press, 2025+


• Leave-one-out stable conformal prediction [PDF]
  Kiljae Lee and Yuan Zhang
  ICLR, 2025


• 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
  
  Part I of this paper published as:
  U-statistic reduction: higher-order accurate risk control and statistical-computational trade-off [PDF] [Code]
  Meijia Shao, Dong Xia and Yuan Zhang
  Journal of the American Statistical Association, In press, 2025+


• 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


• Distribution-free matrix prediction under arbitrary missing pattern [PDF] [MATLAB code]
  Meijia Shao and Yuan Zhang
  Preprint


• Priority-award Shapley value [PDF]
  Kiljae Lee, Ziqi Liu, Weijing Tang and Yuan Zhang
  Preprint

Other papers

• Joint Registration and Conformal Prediction for Partially Observed Functional Data [PDF]
  Fangyi Wang, Sebastian Kurtek and Yuan Zhang
  Journal of Computational and Graphical Statistics, 2026+
  


• Robust Distribution-Free Tests for the Linear Model [PDF]
  Torey Hilbert, Steven MacEachern and Yuan Zhang
  Sstatistics In Medicine, 2026+
  


• Evaluating the effects of high-throughput structural neuroimaging predictors on whole-brain functional connectome outcomes via network-based matrix-on-vector regression [PDF]
  Tong Lu, Yuan Zhang, Vince Lyzinski, Chuan Bi, Peter Kochunov, Elliot Hong and Shuo Chen
  Biometrics, 2025
  


• 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, 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


• Conformal Link Prediction with False Discovery Rate Control [PDF]
  Wenqin Du, Wanteng Ma, Dong Xia, Yuan Zhang and Wen Zhou
  In submission
  


• Optimal Nonparametric Inference on Network Effects with Dependent Edges [PDF]
  Wenqin Du, Yuan Zhang and Wen Zhou
  In submission
  


• Consistent polynomial-time unseeded graph matching for Lipschitz graphons[PDF]
  Yuan Zhang
  Preprint
  


• Unseeded low-rank graph matching by transform-based unsupervised point registration [PDF]
  Yuan Zhang
  Preprint