Jiaxin Hu

I am a fourth-year Ph.D. student in Statistics at University of Wisconsin-Madison working with Prof. Miaoyan Wang. My research interests lie in the intersection of statistics and machine learning. Currently, I am working on higher-order tensor methods with application in networks.

Prior to the Ph.D. program, I received my Master's degree in Statistics from UW-Madison in 2020 and Bachelor's degree in Statistics from Wuhan University in 2019.

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Publications
blind-date Multiway spherical clustering via degree-corrected tensor block models
Jiaxin Hu and Miaoyan Wang
IEEE Transactions on Information Theory, 2023
Short version at International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Journal / arXiv / AISTATS / Software

  • This work wins Best Student Paper Award -- honorable mention from the Statistical Learning and Data Science Section of the American Statistical Association (ASA), 2022.
  • Part of the work is accepted into NeurIPS 2021 Workshop on Quantum Tensor Networks in Machine Learning.

blind-date Generalized tensor decomposition with features on multiple modes
Jiaxin Hu, Chanwoo Lee, and Miaoyan Wang
Journal of Computational and Graphical Statistics, 2021
Journal / NeurIPS Workshop / arXiv / Software

  • This work wins Best Student Paper Award from the Statistical Computing and Graphics Section of American Statistical Association (ASA), 2021.
  • Part of the work is accepted into NeurIPS 2020 Second Workshop on Machine Learning and the Physical Sciences.

Collaborations
Reimagining Gene-Environment Interaction Analysis for Human Complex Traits
Miao J., Song G., Wu Y., Hu J., Wu Y., Basu S., Andrews J., Schaumberg K., Fletcher J., Schmitz L., Lu Q.
Under review of Cell, 2023
bioRxiv / Software
Ongoing Projects
  • A spectral framework to map QTLs affecting joint differential networks of gene coexpression.
    (with Daniel I. Bolnick and Miaoyan Wang)
Professional activities
  • Invited Session Chair for Statistics in Social Sciences and Survey Research at Joint Statistical Meetings, 2022.
  • Invited Session Chair for Recent Methods for Tensor Data at New England Statistical Society symposium, 2022.
  • Invited Session Chair for Software on Statistical Computing at Joint Statistical Meetings, 2021.
  • Reviewer for AISTATS 21(3) 22(5), JASA (2), JRSS-SB (2), IEEE Transactions on Signal Processing (1), PNAS (1), Genetics (1), PLOS (1), JMLR (1), SII (1), CSDA (1)
Awards
  • Honorable Mention Graduate Course Teaching Assistant (TA) Award, University of Wisconsin-Madison, 2023
  • Student Research Grants Competition Award, University of Wisconsin-Madison, 2022
  • Best Student Paper Award -- honorable mention from the Statistical Learning and Data Science Section of ASA, 2022.
  • Best Student Paper Award from the Statistical Computing and Graphics Section of ASA, 2021
  • Exchange & Visiting International Student Academic Excellence Award, University of Wisconsin-Madison, 2019
  • Second-Class Scholarship for Excellent Students (top 10%),Wuhan University, 2016, 2017, 2018
Teaching
  • Discussion TA of STAT 850 Theory and Application of Regression and ANOVA, Spring 2023.
  • Discussion TA of STAT 601 Statistical Method I, Fall 2020, Spring 2021, Fall 2021, Fall 2022.
  • Discussion TA of STAT 679 Statistics: Foundations & Regression and Big Data, Summer 2021.
  • Discussion TA of STAT 324 Statistics: Introductory Applied Statistics for Engineers, Summer 2022.

Website design from Jon Barron with source code.