Shengbin Ye

Chambers Hall, 135

600 Foster St

Evanston, IL 60208

I am an assistant professor of instruction in the Department of Statistics and Data Science at Northwestern University. I received my Ph.D. in Statistics at Rice University, advised by Professor Meng Li. Before that, I spent four wonderful years at UC San Diego and received a B.S. in Probability and Statistics.

I am passionate about statistics, and my research interests span the areas of nonparametrics, variable selection, and symbolic regression.

In my free time, I enjoy hiking , climbing , brewing coffee , and wrenching on cars

selected publications

Posterior Summarization for Variable Selection in Bayesian Tree Ensembles

Shengbin Ye and Meng Li

arXiv e-prints, 2025

arXiv Bib Code

@article{ye2025vc,
  title = {Posterior Summarization for Variable Selection in Bayesian Tree Ensembles},
  author = {Ye, Shengbin and Li, Meng},
  year = {2025},
  url = {https://arxiv.org/abs/2509.07121},
  eprint = {2509.07121},
  archiveprefix = {arXiv},
  primaryclass = {stat.ME},
  journal = {arXiv e-prints}
}

ICML

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large \p\

Shengbin Ye and Meng Li

In Forty-second International Conference on Machine Learning, 2025

Bib Code

@inproceedings{ye2025pansr,
  title = {Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large \$p\$},
  author = {Ye, Shengbin and Li, Meng},
  year = {2025},
  booktitle = {Forty-second International Conference on Machine Learning},
  url = {https://openreview.net/forum?id=9gyJJw8ZUj},
}

JASA

Operator-Induced Structural Variable Selection for Identifying Materials Genes

Shengbin Ye, Thomas P. Senftle, and Meng Li

Journal of the American Statistical Association, 2024

ASA Student Paper Award DOI Bib Code

Shengbin Ye received 2024 ASA Student Paper Award in the SPEC + Q&P Section.

@article{ye2024iBART,
  title = {Operator-Induced Structural Variable Selection for Identifying Materials Genes},
  author = {Ye, Shengbin and Senftle, Thomas P. and Li, Meng},
  year = {2024},
  journal = {Journal of the American Statistical Association},
  publisher = {ASA Website},
  volume = {119},
  number = {545},
  pages = {81--94},
  doi = {10.1080/01621459.2023.2294527},
  url = {https://doi.org/10.1080/01621459.2023.2294527},
  eprint = {https://doi.org/10.1080/01621459.2023.2294527},
}