Xuan Bi
Media Category

Xuan Bi

Assistant Professor
Information & Decision Sciences


3-233 Carlson School of Management


  • BS 2011
    Mathematics, Tsinghua University
  • PhD 2016
    Statistics, University of Illinois at Urbana-Champaign
  • Postdoctoral Associate 2018
    Biostatistics, Yale University


  • Statistics & Data Science
  • Machine Learning
  • Big Data Analytics
  • Personalization
  • Recommender Systems
  • Data Privacy
  • Imaging Data Analysis


Dr. Xuan Bi is an Assistant Professor of Information and Decision Sciences in the Carlson School of Management at the University of Minnesota. His general research goal is to design data-driven solutions and provide decision support to benefit organizations and individuals. Dr. Xuan Bi's research mainly focuses on the interface of Statistics, Machine Learning, and Information Systems, which aims at creating and applying data-driven methodologies to address real-world, large-scale, business and scientific problems. Specifically, Dr. Xuan Bi's works revolve around personalization, with a special interest in recommender systems and data privacy. His works have been published on leading academic journals, including Journal of the American Statistical Association, Annals of Statistics, and Annals of Applied Statistics.

Dr. Xuan Bi holds a Bachelor of Science in Mathematics from Tsinghua University, and a PhD in Statistics from the University of Illinois at Urbana-Champaign. During his doctoral training, Dr. Xuan Bi provided statistical consultation to over 60 clients in academia and industry, in the fields of marketing, retailing, B2B sales, precision medicine, finance, law, accounting, biology, engineering, logistics, psychology, and sociology. Prior to joining the University of Minnesota, Dr. Xuan Bi was a Postdoctoral Associate at Yale University.

Selected Works & Activities.

  • Journal Articles
    Zhang, Y., Bi, X., Tang, N.-S. and Qu, A. (2021). Dynamic tensor recommender systems. Journal of Machine Learning Research, to appear.
  • Journal Articles
    Feng, L., Bi, X. and Zhang, H. (2021). Brain regions identified as being associated with verbal reasoning through the use of imaging regression via internal variation. Journal of the American Statistical Association, 116, 144-158.
  • Journal Articles
    Wang, Y., Bi, X. and Qu, A. (2019). A logistic factorization model for recommender systems with multinomial responses. Journal of Computational and Graphical Statistics, 29, 396-404.
  • Journal Articles
    Tang, X., Bi., X. and Qu, A. (2019). Individualized multilayer tensor learning with an application in imaging analysis. Journal of the American Statistical Association, 115, 836-851. -Winner of ASA Student Paper Award (SLDS Section, 2017)
  • Journal Articles
    Zhang, H., Liu, D., Zhao, J. and Bi, X. (2018). Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence. Annals of Applied Statistics, 12, 2359-2378.
  • Journal Articles
    Bi, X. and Qu, A. (2018). A mixed-effects estimating equation approach to nonignorable missing longitudinal data with refreshment samples. Statistica Sinica, 28, 1653-1675.
  • Journal Articles
    Bi, X., Qu, A. and Shen, X. (2018). Multilayer tensor factorization with applications to recommender systems. Annals of Statistics, 46, 3308-3333.
  • Journal Articles
    Bi, X., Qu, A., Wang, J. and Shen, X. (2017). A group-specific recommender system. Journal of the American Statistical Association, 112, 1344-1353. -Winner of ASA Student Paper Award (SLDS Section, 2016)
  • Journal Articles
    Liechty, J. M., Bi, X. and Qu, A. (2016). Feasibility and validity of a statistical adjustment to reduce self-reported bias of height and weight in wave 1 of the Add Health Study. BMC Medical Research Methodology, 16(1): 124.
  • Journal Articles
    Bi, X. and Qu, A. (2015). Sufficient dimension reduction for longitudinal data. Statistica Sinica, 25, 787-807.
  • Current Research

    Product sales forecasting with incorporation of sales competition, and with special attention on long-term forecasting.

  • Honors and Awards

    MSBA Teacher of the Year (Specialty Courses), Awarded by the Part-Time MSBA Class of 2019.

  • Scholarly Service

    Invited Session Organizer: Joint Statistical Meeting 2017

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