Jiaxin Hu

I am a third-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, to appear
Short version at International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
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.
bioRxiv / Software
Ongoing Projects
Professional activities
  • Invited Session Chair at Joint Statistical Meetings (JSM) 2022.
  • Invited Session Chair of Software on Statistical Computing at Joint Statistical Meetings (JSM) 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)
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, 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.