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Xiangyu Zheng Lecturer

Office: Room 632, Lyu Dalong Building, Tsinghua University


Phone: +86-10-62789065


Email: zhengxiangyu@tsinghua.edu.cn


职称 Lecturer 地址 Room 632, Lyu Dalong Building, Tsinghua University
电话 +86-10-62789065 邮箱 zhengxiangyu@tsinghua.edu.cn
个人主页

Educational Background and Experience

  • Ph.D. in Statistics, Peking University (2022)

  • JD.com Group -- Algorithm Research and Development (2022-2025)

Research Interests

Intelligent decision-making based on causal inference (Uplift Modeling + OR), machine learning methods based on tree models

Publications

[1] Zheng, X., & Chen, S. (2025) Segmented Linear Regression Trees. Acta Mathematica Sinica, English Series. 41, 498–521.

[2] Zheng, X., & Chen, S. X. (2024). Dynamic synthetic control method for evaluating treatment effects in auto-regressive processes. Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(1), 155–176.

[3] Zheng, X., Tian, G., Wang, S., & Huang, Z. (2024). ADR: An Adversarial Approach to Learn Decomposed Representations for Causal Inference. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 23, 268-284.

[4] Gao, J., Zheng, X., Wang, D., Huang, Z., & Zheng, B. (2024). UTBoost: A Tree-boosting based System for Uplift Modeling. In the Pacific Rim International Conference on Artificial Intelligence, 25, 41-53.

[5] Liu, M, Zheng, X., Sun, X., Fang, F., & Wang, Y. (2023). Which invariance should we transfer? A causal minimax learning approach. In International Conference on Machine Learning, 20, 345–360.

[6] Sun, X., Zheng, X., & Weinstein, J. (2023). A New Causal Decomposition Paradigm towards Health Equity. In International Conference on Artificial Intelligence and Statistics, 19, 234–249.

[7] Zheng, X., Guo, B., He, J., & Chen, S. X. (2021). Effects of Corona Virus Disease-19 Control Measures on Air Quality in North China. Environmetrics, 32(2), e2673.

[8] Sun, X., Wu, B., Zheng, X., Liu, C., & Liu, T. Y. (2021) Recovering Latent Causal Factor for Generalization to Distributional Shifts. In International Conference on Neural Information Processing Systems, 34, 1234–1245.

[9] Chen S. X. & Zheng, X., (2021). Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 via a synthetic control method”. Statistics and Its Interface.

[10] Zheng, X., & Chen, S. X. (2019) Partitioning structure learning for segmented linear regression trees. In International Conference on Neural Information Processing Systems, 32, 2222–2231.

Teaching

Undergraduate courses: Elementary Probability Theory, Statistical Machine Learning