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Yunpeng Zhao
Assistant Professor
School of Mathematical and Natural Sciences
Arizona State University
Grant:
NSF DMS-1513004: Inference of Network Structure from Grouped Data. Principle Investigator. 09/01/2015–08/31/2018. Total amount: $120,000.
Selected Publications:
[1] Y. Zhao and C. Weko. (2017) Network Inference From Grouped Observations Using Hub Models, Statistica Sinica, To appear. Supplemental Material.
[2] Y. Zhao. (2017) A Survey on Theoretical Advances of Community Detection in Networks, WIREs Computational Statistics, Volume 9, September/October 2017, 1-13.
[3] Y. Zhao, Y. Wu, E. Levina, and J. Zhu. (2017) Link Prediction for Partially Observed Networks, Journal of Computational and Graphical Statistics, Published online.
[4] C. Weko and Y. Zhao. (2017) Penalized Component Hub Models, Social Networks, 49, 27-36. Supplemental Material.
[5] Q. Pan and Y. Zhao (co-first author). (2016) Integrative Weighted Group Lasso and Generalized Local Quadratic Approximation, Computational Statistics & Data Analysis, 104,
66-78. Supplemental Material.
[6] T. Yan. and Y. Zhao. (2016) Asymptotics of Score Test in the Generalized β-model for Networks, Statistics & Probability Letters, 119, 163-169. Supplemental Material.
[7] T. Yan, Y. Zhao, and H. Qin. (2015) Asymptotic Normality in the Maximum Entropy Models on Graphs With an Increasing Number of Parameters, Journal of Multivariate
Analysis, 133, 61-76.
[8] Y. Zhao, E. Levina, and J. Zhu. (2012) Consistency of Community Detection in Networks Under Degree-corrected Stochastic Block Models, Annals of Statistics, 40, 2266-2292. Supplemetal Material.
[9] Y. Zhao, E. Levina, and J. Zhu. (2011) Community Extraction for Social Networks, Proc. Nat. Acad. Sci., 108(18):7321–7326. (A winner of ASA Statistical Computing and Graphics
Sections 2011 Student Paper Competition). Supplemental Material.
[10] Y. Zhao, Q. Pan and C. Du. (2016) Logistic Regression Augmented Community Detection with Application in Identifying Autism-Related Gene Pathways, Submitted to Biometrics, Major Revision. Supplemental Material.
[11] Y. Zhao. (2016) Network Inference From Time Varying Grouped Observations, Submitted to Journal of Computational and Graphical Statistics, Major Revision.
[12] Y. Zhao. and S. Chen. (2017) Learning Latent Networks via Matrix Decomposition by Solving Lyapunov Equations With Applications in Gene Regulatory Networks. Submitted to Bioinformatics.
[13] C. Du. and Y. Zhao. (2017) On Consistency of Graph-based Semi-supervised Learning. Submitted to Journal of Nonparametric Statistics.
[14] J. Hu, H. Qin, T. Yan, and Y. Zhao. (2017) On Consistency of Model Selection for Stochastic Block Models. Submitted to Annals of Statistics.
[15] S. Chen, J. Kang, Y. Xing, Y. Zhao and D. Milton. (2017) Network Induced Large Correlation Matrix Estimation, Submitted to Biometrics. Supplemental Material.
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