Yichi Zhang

Welcome!

I am a Postdoctoral Scholar in the Fuqua School of Business and the Department of Biostatistics & Bioinformatics at Duke University, advised by Alexandre Belloni and Ethan X. Fang. I received my Ph.D. in Statistics from North Carolina State University (NCSU) in 2023, advised by Minh Tang and Shu Yang. During my doctoral studies, I was also advised by Dehan Kong and Weining Shen on multiple research projects. I received a B.S. in Mathematics and Applied Mathematics from Sichuan University in 2018 .

Starting from Fall 2024, I will join the Department of Statistics at Indiana University Bloomingtom as a tenure-track assistant professor.

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Research Interests

  • Causal Inference and Causal Learning

  • Mechanism Design

  • Randomized Algorithms and Large-scale Computations

  • Spectral Methods and High-dimensional Models

    • Awards and Honors

  • ASA Nonparametric Statistics Student Paper Award Finalist, 2023

  • IMS Hannan Graduate Student Travel Award, 2021

  • ENAR Distinguished Student Paper Award, 2021

  • Mu Sigma Rho, National Statistics Honor Society, 2018

    • Papers

    Higher-Order Entrywise Eigenvectors Analysis of Low-Rank Random Matrices: Bias Correction, Edgeworth Expansion, and Bootstrap
    Fangzheng Xie, Yichi Zhang
    Preprint, Submitted, 2024

    Semiparametric Local Principal Stratification Analysis with a Continuous Intermediate Variable
    Yichi Zhang, Shu Yang
    Preprint avaliable upon request, Submitted, 2023

    Towards R-learner of Conditional Average Treatment Effects with a Continuous Treatment: Tidentification, Estimation, and Inference
    Yichi Zhang, Dehan Kong, Shu Yang
    Preprint, Submitted, 2022

    Perturbation Analysis of Randomized SVD and its Applications to High-dimensional Statistics
    Yichi Zhang, Minh Tang
    Preprint, Submitted, 2022

    A Theoretical Analysis of DeepWalk and Node2vec for Exact Recovery of Community Structures in Stochastic Blockmodels
    Yichi Zhang, Minh Tang
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

    Covariance Estimation for Matrix-valued Data
    Yichi Zhang, Weining Shen, Dehan Kong
    Journal of the American Statistical Association, 2022

    Teaching

  • ST311 Introduction to Statistics, NCSU, Spring 2023