publications

Preprints

  1. B. Bateni, Y. Yuan, Q. Xu, A. Qu. Distributional Treatment Effect Estimation for Heterogeneous Populations via Optimal Transport. Under review.
  2. Q. Xu, L. Testa, J. Lei, K. Roeder. Blockwise Missing meets AI: A Tractable Solution for Semiparametric Inference. Under review.
  3. Q. Xu, J. Lei, K. Roeder. Sparse Group Principal Component Analysis via Double Thresholding with Applications in Multi-Cellular Programs. Manuscript.
  4. L. Testa, Q. Xu, J. Lei, K. Roeder. Semiparametric Semi-supervised Learning for General Targets under Distribution Shift and Decaying Overlap. Under review.
  5. Y. Sui, Q. Xu, T. Li, Y. Bai, A. Qu. Partially-shared Imaging Regression on Integrating Heterogeneous BrainCognition Associations across Alzheimer's Diagnoses. Under review.
  6. Q. Xu, A. Qu. Representation Retrieval Learning for Heterogeneous Data Integration. Under review. An earlier version was presented in the IMS Medallion Lecture by Annie Qu.
  7. Y. Sui, Q. Xu, Y. Bai, A. Qu. Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encoding. Under review.
  8. Y. Sui, Q. Xu, Y. Bai, A. Qu. Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data. Under review.

Peer-reviewed Publications

  1. K. Wei, F. Xue, Q. Xu, Y. Yuan, Y. Zhang, G. Qin, A. Wani, A. Aiello, D. Wildman, M. Uddin, A. Qu. (2025+) Time-varying Mediation Analysis for Incomplete Data with Application to DNA Methylation Study for PTSD. Annals of Applied Statistics, just accepted.
  2. J. Rim, Q. Xu, X. Tang, Y. Guo, A. Qu. (2025) Individualized Time-varying Nonparametric Model with An Application in Mobile Health. Statistics in Medicine, 44: e70005.
  3. Q. Xu, X. Cao, G. Chen, H. Zeng, H. Fu, A. Qu. (2024) Multi-Label Residual Weighted Learning for Individualized Combination Treatment Rule. Electronic Journal of Statistics 18(1), 1517-1548.
  4. Y. Zhang, Q. Xu, N. Tang, A. Qu. (2024) Differential Private Data Release for Mixed-type Data via Latent Factor Model. Journal of Machine Learning Research, 25(116):1-37.
  5. J. Zhang, F. Xue, Q. Xu, J. Lee, A. Qu. (2024) Individualized Dynamic Model for Multi-resolutional Data. Biometrika, 111(4): 1257-1275.
  6. Q. Xu, H. Fu, A. Qu. (2024) Optimal Individualized Treatment Rules for Combination Treatments Under Budget Constraints. Journal of the Royal Statistical Society, Series B, 86(3), 714-741.
  7. Q. Xu, Y. Yuan, J. Wang, A. Qu. (2024) Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling. Journal of the American Statistical Association, Theory & Method, 119(546), 1192-1204.

Collaborative Research

  1. Y. Guo, Q. Xu, P. Kehoe, A. Qu. Daily Changes in Sleep Stages and Associated Cardiovascular Parameters During Pregnancy: Using a Wearable Device. Frontiers in Global Women's Health, accepted.
  2. J. Rim, Q. Xu, X. Tang, T. Jimah, Y. Guo, A. Qu. (2025+) Heterogeneous effects of physical activity on physiological stress during pregnancy. PLOS Digital Health, accepted.
  3. Y. Yuan, Q. Xu, W. Agaz, D. Janelle, C. Wang, W. Derek, U. Monica, A. Qu. (2024) Differentially Expressed Heterogeneous Overdispersion Genes Testing for Count Data. PLOS One, 19(7), e0300565.
  4. Y. Guo, Q. Xu, N. Dutt, P. Kehoe, A. Qu. (2023) Longitudinal Objective Changes in Sleep Structure During Pregnancy. Women's Health, 2023; 19.
  5. Y. Guo, Q. Xu, P. Kehoe, A. Qu. (2023) The Longitudinal Relationship between Objective Sleep and Cardiovascular Parameters During Pregnancy. Sleep, Volume 46, Issue Supplement1, Page A388.