mgm高梅美线路

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mgm高梅美线路:师资团队Faculty

mgm高梅美线路: 师资团队Faculty

mgm高梅美线路:张宇谦

职称:助理教授、博士生导师(统计与大数据研究院)

研究方向:因果推断,缺失数据,半监督推断,高维统计推断,机器学习

联系方式:yuqianzhang@ruc.edu.cn

mgm高梅美线路助理教授、博士生导师。2016年本科毕业于武汉大学数学与统计学院,2022年博士毕业于美国加州大学圣地亚哥分校数学学院并加入mgm高梅美线路。研究兴趣包括因果推断、半监督学习、高维统计分析、机器学习理论、缺失数据问题、精准医疗等。文章发表或接受于Biometrika、Annals of Statistics、Information and Inference等期刊。主持国家自然科学基金青年基金项目一项,参与面上项目一项。曾获美国统计协会非参数统计组最佳mgm高梅美线路论文奖。

详见个人主页:https://yuqianruc.github.io/


Publications and Preprints:

Yuqian Zhang, Jelena Bradic (2022). High-dimensional semi-supervised learning: in search of optimal inference of the mean. Biometrika, 109(2), 387-403.

Yuqian Zhang*, Abhishek Chakrabortty*, 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.

Jelena Bradic#, Weijie Ji#, Yuqian Zhang# (2024). High-dimensional inference for dynamic treatment effects. arXiv preprint arxiv:2110.04924. Accepted by The Annals of Statistics.

Yuqian Zhang, Weijie Ji, Jelena Bradic (2021). Dynamic treatment effects: high-dimensional inference under model misspecification. arXiv preprint arxiv:2111.06818.

Yuqian Zhang*, Abhishek Chakrabortty*, Jelena Bradic* (2023). The Decaying Missing-at-Random Framework: Doubly Robust Causal Inference with Partially Labeled Data. arXiv preprint arXiv:2305.12789.

Kai Chen, Yuqian Zhang (2023). Enhancing efficiency and robustness in high-dimensional linear regression with additional unlabeled data. arXiv preprint arXiv:2311.17685.

Yuqian Zhang, Weijie Ji, Jelena Bradic (2024). Adaptive Split Balancing for Optimal Random Forest. arXiv preprint arXiv:2402.11228.

(# alphabetical order, * co-first author, __ supervised student)

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