Xuan Bi
Scholar

Xuan Bi

Google Scholar ID: F3eRk9MAAAAJ
Associate Professor, University of Minnesota
StatisticsMachine LearningRecommender SystemsPersonalizationData Privacy
Citations & Impact
All-time
Citations
667
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
14
list available
Contact
Resume (English only)
Academic Achievements
  • Research supported by the National Science Foundation and Cisco Systems, Inc.
  • Outstanding Teaching Award, Carlson School of Management, 2025
  • Gordon B. Davis Young Scholar Award, INFORMS Information Systems Society, 2024
  • Outstanding Research Award, Carlson School of Management, 2022
  • Best Session Chair Award, INFORMS Information Systems Society, 2022
  • Best Reviewer Award, INFORMS Workshop on Data Science, 2021
  • MSBA Outstanding Teacher, Carlson School of Management, 2021 and 2019
  • MSBA Teacher of the Year, Carlson School of Management, 2019
  • Certificate for Outstanding Teaching, Center for Educational Innovation, University of Minnesota, 2019
  • SLDS Conference Travel Award, 2016
  • ASA Student Paper Award, SLDS Section, 2016
  • Horace W. Norton Prize for outstanding thesis research (sole awardee), UIUC Department of Statistics, 2014
  • Graduate College Conference Travel Award, UIUC, 2014–2016
  • Associate Editor, Journal of the American Statistical Association (2023–present)
  • Associate Editor, International Conference on Information Systems (2021)
  • IMS Program Chair and Medallion Lecture Session Organizer for ENAR 2023
Background
  • Associate Professor of Information and Decision Sciences, Carlson School of Management, University of Minnesota
  • Affiliate Faculty, School of Statistics, University of Minnesota
  • Core Member, Data Science and AI Hub, University of Minnesota
  • Research focuses on designing and applying statistical machine learning and AI technologies to address large-scale real-world business and scientific problems
  • Research interests broadly in trustworthy machine learning and AI, with emphasis on data privacy, watermarking, retrieval-augmented generation, adversarial learning, and recommender systems