I am a Ph.D. candidate in Management Information Systems at Eller College of Management, the University of Arizona. I am advised by Prof. Yong Ge. You may contact me at tianyangxie@arizona.edu.
Recent Updates: I will join the Indiana University - Kelley School of Business - Operations & Decision Technologies (ODT) department as a tenure-track assistant professor (TTAP) in Fall 2026.
Research Interests:
High-dimensional Counterfactual Analysis.
AI/ML for business.
Education
University of Arizona, PhD in MIS, 2021 - 2026 Expected
University of Minnesota Twin Cities, MS in Stat, 2017 - 2020
Shanghai University of Finance & Economics, BA in Econ, 2013 - 2017
Publications
Xie, T., & Ge, Y. (2023). Enhance knowledge graph embedding by mixup. IEEE Transactions on Knowledge and Data Engineering, 36(2), 569-580..
Xie, T., & Ding, J. (2020). Forecasting with multiple seasonality. In 2020 IEEE International Conference on Big Data (Big Data) (pp. 240-245).
Xie, T., & Ge, Y, & Guo, S. Accuracy, Fairness, Diversity All at Once: An Influence Function Guided Data Enhancement Approach for Recommender Systems. ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 19, Issue 9, Pages 1 - 27.
Under Revision/Review:
Xie, T., & Ge, Y. & Kannan, K. Crypto Airdrop Success Blueprint: A High-dimensional Causal Study Using Double Machine Learning.
ISR, Under 1st-round Major Revision, 2025
Xie, T., & Ge, Y. Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach.
MISQ, Under 1st-round Major Revision, 2025
Working Papers
Xie, T., & Ge, Y. & Chen, W. Airbnb Cover Image Selection through High-Dimensional Visual Causal Inference.