7. Testa, L., Xu, Q., Lei, J., Roeder, K. (2025+) Semiparametric Semi-supervised Learning for General Targets under Distribution Shift and Decaying Overlap. Under review. [arXiv]

6. Xu, Q., Qu, A. (2025+) Representation Retrieval Learning for Heterogeneous Data Integration. Under review. [arXiv]

5. Sui, Y., Xu, Q., Li, T., Bai, Y., Qu, A. (2025+) Partially-shared Imaging Regression on Integrating Heterogeneous Brain-Cognition Associations across Alzheimer's Diagnoses. Under review. [arXiv]

4. Sui, Y., Xu, Q., Bai, Y., Qu, A. (2025+) Multi-task Learning for Heterogeneous Data via Integrating Shared and Task-Specific Encoding. Under review. [arXiv]

3. Sui, Y., Xu, Q., Bai, Y., Qu, A. (2025+) Multi-task Learning for Heterogeneous Multi-source Block-Wise Missing Data. Under review. [arXiv]

2. Rim, J., Xu, Q., Tang X., Jimah T., Guo Y., Qu A. (2025+) Heterogeneous effects of physical activity on physiological stress during pregnancy. Under review. [medRxiv]

1. Guo, Y., Xu, Q., Kehoe, P., Qu, A. (2025+) Daily changes in sleep stages and associated cardiovascular parameters over pregnancy. Under review.

2. Wei, K., Xue, F., Xu, Q., Yuan, Zhang, Y., Qin, G., Wani, A., Aiello, A., Wildman, D., Uddin, M., Qu, A. (2025) Time-varying Mediation Analysis for Incomplete Data with Application to DNA Methylation Study for PTSD. Annals of Applied Statistics, just-accepted. [BioRxiv]

1. Rim, J., Xu, Q., Tang, X., Guo, Y., Qu, A. (2025) Individualized time-varying nonparametric model with an application in mobile health. Statistics in Medicine, 44(5), e70005. [Journal]

6. Yuan, Y., Xu, Q., Wani, A., Luca, F., Grondin, M., Wang, Y., Wang, L., Uddin, M., Qu, A. (2024) Differentially expressed heterogeneous overdispersion genes testing for count data. PLOS ONE, 19(7), e0300565. [Journal]

5. Xu, Q., Cao, X., Chen, G., Zeng, H., Fu, H., Qu, A. (2024) Multi-label residual weighted learning for individualized combination treatment rule. Electronic Journal of Statistics, 18(1), 1517-1548. [Journal]

4. Zhang, Y., Xu, Q., Tang, N., & Qu, A. (2024) Differential private data release for mixed-type data via latent factor models. Journal of Machine Learning Research, 25(116), 1-37. [Journal]

3. Zhang, J., Xue, F., Xu, Q., Lee, J., Qu, A. (2024) Individualized dynamic model for multi-resolutional data with application to mobile health. Biometrika, 111(4), 1257-1275. [Journal]

2. Xu, Q., Fu, H., Qu, A. (2024) Optimal individualized treatment rule for combination treatments under budget constraints. Journal of the Royal Statistical Society: Series B, 86(3), 714-741. [Journal]

1. Xu, Q., Yuan, Y., Wang, J., Qu, A. (2024) Crowdsourcing utilizing subgroup structure of latent factor modeling. Journal of the American Statistical Association, 119(546), 1192-1204. [Journal]

2. Guo, Y., Xu, Q., Kehoe, P., Dutt, N., Qu, A. (2023) Longitudinal changes in objective sleep parameters during pregnancy. Women's Health, 19. [Journal]

1. Guo, Y., Xu, Q., Kehoe, P., Qu, A. (2023) The longitudinal relationship between objective sleep and cardiovascular parameters during pregnancy. Sleep, 46(Supplement_1), A388. [Abstract]