Jiaxin Hu

I am a second-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
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
arXiv / 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 / Conference / 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.

Ongoing Projects
  • Testing high-dimension networks with application to gene expression data. Preliminary analysis html, R markdown.
Professional activities
  • Invited Session Chair of Software on Statistical Computing at Joint Statistical Meetings (JSM) 2021.
  • Reviewer for AISTATS 2021 (3), JASA (2), JRSS-SB (2), IEEE Transactions on Signal Processing (1), PNAS (1), Genetics (1), PLOS (1), JMLR (1).
Selected Awards
  • Best Student Paper Award -- honorable mention from the Statistical Learning and Data Science Section of the American Statistical Association (ASA), 2022.
  • Best Student Paper Award from the Statistical Computing and Graphics Section of American Statistical Association (ASA), 2021
Teaching
  • Discussion TA of STAT 601 Statistical Method I, Fall 2020, Spring 2021, Fall 2021.
  • Discussion TA of STAT 679 Statistics: Foundations & Regression and Big Data, Summer 2021.

Website design from Jon Barron with source code.