张宇谦，中国人民大学统计与大数据研究院准聘副教授、副研究员、博士生导师。2016年本科毕业于武汉大学，2022年博士毕业于美国加利福尼亚大学圣地亚哥分校。研究兴趣包括因果推断、半监督学习、机器学习、强化学习、高维统计等。文章发表于AOS、Biometrika、JRSSB、IEEE TIT等期刊。主持国家自然科学基金面上项目、青年基金项目。曾获泛华统计协会青年研究者奖、美国统计协会非参数统计最佳学生论文奖。

详见个人主页：https://yuqianruc.github.io/

工作经历

2026.08至今 中国人民大学统计与大数据研究院，准聘副教授

2022.09至2026.07 中国人民大学统计与大数据研究院，助理教授

教育背景

2016.09至2022.03 美国加利福尼亚大学圣地亚哥分校数学科学学院，硕士、博士

2012.09至2016.06 武汉大学数学与统计学院，学士

Publications (* corresponding, # alphabetical order, † equal contribution, __ students)

Yuqian Zhang, Weijie Ji, and Jelena Bradic (2026). Dynamic treatment effects: high-dimensional inference under model misspecification. Journal of the Royal Statistical Society: Series B, accepted. (This paper received the ICSA 2025 China Conference Junior Researcher Award.)

Yuqian Zhang†, Abhishek Chakrabortty†, and Jelena Bradic† (2026). The decaying missing-at-random framework: model doubly robust causal inference with partially labeled data. IEEE Transactions on Information Theory, accepted.

Kai Chen and Yuqian Zhang* (2025). Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions. Biometrics, 81(3), ujaf113. (Kai received the Second Prize for Outstanding Papers at the 8th National Statistics Doctoral Academic Forum.)

Jelena Bradic#, Weijie Ji#, and Yuqian Zhang# (2024). High-dimensional inference for dynamic treatment effects. The Annals of Statistics, 52(2), 415–440.

Yuqian Zhang†, Abhishek Chakrabortty†, and Jelena Bradic† (2023). Double robust semi-supervised inference for the mean: Selection bias under MAR labeling with decaying overlap. Information and Inference: A Journal of the IMA, 12(3), 2066–2159.

Yuqian Zhang and Jelena Bradic (2022). High-dimensional semi-supervised learning: in search of optimal inference of the mean. Biometrika, 109(2), 387–403. (This paper received the 2021 Best Student Paper Award from the ASA Nonparametric Statistics Section.)

Preprints

Zhen Qi and Yuqian Zhang* (2026). Quadruply robust methods for causal mediation analysis. arXiv:2601.22592. Major revision at Journal of the American Statistical Association.

Yilizhati Anniwaer and Yuqian Zhang* (2025). Semi-supervised inference for treatment heterogeneity. arXiv:2509.05048. Major revision at Biometrics. (Yilizhati received the Third Prize for Outstanding Papers at the 9th National Statistics Doctoral Academic Forum.)

Kai Chen and Yuqian Zhang* (2025). Balancing utility and cost in dynamic treatment regimes. arXiv:2507.17360. Major revision at Journal of the Royal Statistical Society: Series B.

Facheng Yu, Zhen Qi, and Yuqian Zhang* (2024). Semi-supervised inference using unlabeled summary statistics. arXiv:2411.15691.

Yuqian Zhang and Jelena Bradic (2024). Causal inference through multi-stage learning and doubly robust deep neural networks. arXiv:2407.08560.

Yuqian Zhang, Weijie Ji, and Jelena Bradic (2024). Adaptive split balancing for optimal random forest. arXiv:2402.11228.

科研项目

国家自然科学基金委员会面上项目，复杂因果路径下的稳健因果推断，2027-2030，主持

中国人民大学“冷板凳”基金项目，人工智能的统计学理论基础，2026-2031，主持

国家自然科学基金委员会青年科学基金项目（C类），基于高维半监督数据的统计推断，2024-2026，主持

中国人民大学新教师启动金项目，有选择性偏差的半监督统计推断，2023-2025，主持

国家自然科学基金委员会面上项目，因果分析中连续处理效应的非参数建模与统计推断，2024-2027，参与