Publications

You can also find my articles on my Google Scholar profile.

Journals

Zhanrui Cai, Sai Li, Xintao Xia*, Linjun Zhang (2026+). Differentially private estimation and inference in high-dimensional regression with FDR control. [Accepted at Journal of Machine Learning Research.]
Xintao Xia, Linjun Zhang, Zhanrui Cai (2025). Differentially private sliced inverse regression: minimax optimality and algorithm, Journal of the American Statistical Association. [Winner of the 2024 IMS Hannan Graduate Student Travel Award.]
Xintao Xia, Xiaofei Zhang, Wayne A Fuller (2024). Estimation for nearest neighbor imputed survey data, Journal of Survey Statistics and Methodology.
Xintao Xia, Zhanrui Cai (2023). Adaptive false discovery rate control with privacy guarantee, Journal of Machine Learning Research. [Code and Related Files]
Xintao Xia, Linjun Zhang, Zhanrui Cai (2025). Statistical inference for differentially private stochastic gradient descent. [Minor revision at Journal of the American Statistical Association.]
Xintao Xia, Yumou Qiu (2024). Multiply robust inference of average treatment effects by high-dimensional empirical likelihood. [Major revision at Biometrics.]

Runzhe Gu§, Wenguang Sun, Bowen Gang, Xintao Xia† (2026). Anytime-Valid Inference for Online Ranking of Large Language Models. [International Conference on Machine Learning.] [Code]

Yumou Qiu, Jing Tao, Xintao Xia* (2024). Inference of heterogeneous quantile treatment effects using observational data with high-dimensional covariates. [R&R at JRSSB]
Xintao Xia, Zhiqiu Xia, Linjun Zhang, Zhanrui Cai (2026). A statistical framework for alignment with biased AI feedback.[R&R at JASA]
Xintao Xia, Li Chen, Yue Hu, Chunlin Li. (2026). Learning a directed acyclic graph with additive heteroscedastic errors.
Yue Hu, Haiqi Li, Xintao Xia† (2026). Model checking for regressions based on weighted residual processes with diverging number of predictors.