publications

2025

1. Blockwise Missingness meets AI: A Tractable Solution for Semiparametric Inference

   Qi Xu, Lorenzo Testa, Jing Lei, and 1 more author

   arXiv preprint arXiv:2509.24158, 2025

   arXiv
2. Partially-shared Imaging Regression on Integrating Heterogeneous Brain-Cognition Associations across Alzheimer’s Diagnoses

   Yang Sui, Qi Xu, Ting Li, and 2 more authors

   arXiv preprint arXiv:2505.24259, 2025

   arXiv
3. Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data

   Yang Sui, Qi Xu, Yang Bai, and 1 more author

   arXiv preprint arXiv:2505.24413, 2025

   arXiv
4. Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encodings

   Yang Sui, Qi Xu, Yang Bai, and 1 more author

   arXiv preprint arXiv:2505.24281, 2025

   arXiv
5. Semiparametric semi-supervised learning for general targets under distribution shift and decaying overlap

   Lorenzo Testa, Qi Xu, Jing Lei, and 1 more author

   arXiv preprint arXiv:2505.06452, 2025

   arXiv
6. Heterogeneous effects of physical activity on physiological stress during pregnancy

   Jenifer Rim, Qi Xu, Xiwei Tang, and 3 more authors

   PLOS Digital Health, 2025
7. Representation retrieval learning for heterogeneous data integration

   Qi Xu and Annie Qu

   arXiv preprint arXiv:2503.09494, 2025

   arXiv
8. Time-varying mediation analysis for incomplete data with application to DNA methylation study for PTSD

   Kecheng Wei, Fei Xue, Qi Xu, and 8 more authors

   Annals of Applied Statistics, 2025
9. Individualized Time-Varying Nonparametric Model With an Application in Mobile Health

   Jenifer Rim, Qi Xu, Xiwei Tang, and 2 more authors

   Statistics in Medicine, 2025

   DOI

2024

1. Individualized dynamic latent factor model for multi-resolutional data with application to mobile health

   Jiuchen Zhang, Fei Xue, Qi Xu, and 2 more authors

   Biometrika, 2024

   DOI arXiv
2. Differentially expressed heterogeneous overdispersion genes testing for count data

   Yubai Yuan, Qi Xu, Agaz Wani, and 8 more authors

   Plos one, 2024

   DOI
3. Optimal individualized treatment rule for combination treatments under budget constraints

   Qi Xu, Haoda Fu, and Annie Qu

   Journal of the Royal Statistical Society Series B: Statistical Methodology, 2024

   DOI arXiv
4. Crowdsourcing utilizing subgroup structure of latent factor modeling

   Qi Xu, Yubai Yuan, Junhui Wang, and 1 more author

   Journal of the American Statistical Association, 2024

   DOI arXiv
5. Differentially private data release for mixed-type data via latent factor models

   Yanqing Zhang, Qi Xu, Niansheng Tang, and 1 more author

   Journal of Machine Learning Research, 2024

   HTML
6. Multi-label residual weighted learning for individualized combination treatment rule

   Qi Xu, Xiaoke Cao, Geping Chen, and 3 more authors

   Electronic Journal of Statistics, 2024

   DOI arXiv

2023

1. Longitudinal changes in objective sleep parameters during pregnancy

   Yuqing Guo, Qi Xu, Nikil Dutt, and 2 more authors

   Women’s Health, 2023

   DOI