Zheng, Xiangyu
About Me
I received my Ph.D. degree in Statistics under the supervision of Professor Song Xi Chen at Peking University in June, 2022. I joined JD.com, Inc as a member of the DMT (Doctor Management Trainee) in July, 2022. Currently, I am an ML Algorithm Engineer at JD Technology to support the technology innovations in financial risk management as well as precision marketing.
Experience
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[Jul. 2022 - Now] ML Algorithm Engineer at JD Technology.
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[Nov. 2020 - Feb. 2022] Research Intern at Microsoft Research Asia (Machine Learning group).
Education
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[2017.9 - 2022.6] Ph.D. in Statistics, Guanghua School of Management, Peking University
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[2013.9 - 2017.7] B.S. in Statistics, School of Mathematical Sciences, Beijing Normal University
Research Interests
- Currently, I mainly focus on the statistical inference of Individual Treatment Effect, Optimized Allocation of Treatments, and their applications in precision marketing.
- I also had a wide interest in Causal learning for Out-of-distribution Prediction, Tree-based machine learning methods, and Environmental statistics.
Publications
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European Conference on Machine Learning and Data Mining (Research Track) (ECML-PKDD, 2024).
Journal of the Royal Statistical Society Series B (Statistical Methodology) (JRSS-B, 2024).
(* equal contribution)International Conference on Machine Learning (ICML, 2023).
International Conference on Artificial Intelligence and Statistics (AISTATS, 2023).
Environmetrics, 2021.
Conference on Neural Information Processing Systems (NeurIPS, 2021).
Conference on Neural Information Processing Systems (NeurIPS, 2019).
Statistics and Its Interface, 2021.
Working Papers
- UTBoost: A Tree-boosting based System for Uplift Modeling.