Tianyang Xie

Research Interests:

• • Machine/Deep Learning,

  • Causal Machine Learning,

  • Simulation-Based Inference

Education

• University of Arizona, PhD in MIS, 2021 - 2026

• 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.