Tianyang Xie

Research Interests: ML/DL

• • Intelligent Data-centric Learning Frameworks

  • Large Language Models (LLMs)

  • Network Science (e.g., Knowledge Graph Embedding, Graph Neural Networks)

  • Fairness in Machine Learning, Time Series Forecasting, Survival Analysis, Recommender System

  • High-dimensional Counterfactual Analysis

Application Domains

• • FinTech (Cryptocurrency)

  • Online Platform Designs and Economics

  • Healthcare Analytics

Education

• University of Arizona, PhD in MIS, 2026 Expected

• University of Minnesota Twin Cities, MS in Statistics, 2020

• Shanghai University of Finance & Economics, 2017

Publications

• Xie, T., & Ge, Y. (2023). Enhance Knowledge Graph Embedding by Mixup. IEEE Transactions on Knowledge and Data Engineering.

• Xie, T., & Ding, J. (2020). Forecasting with multiple seasonality. In 2020 IEEE International Conference on Big Data (Big Data) (pp. 240-245). IEEE.

• 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, forthcoming.

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.