Faculty Profiles

Shen, X., & Lu, Q. (2025). Consistency of Restricted Maximum Likelihood Estimators in High-Dimensional Kernel Linear Mixed Effects Models with Applications to Estimating Genetic Heritability. Mathematics.

Shen, X., & Espinoza, J. (2025). Consistency and Rate of Convergence for Deep ReLU Neural Networks. Journal of Statistical Theory and Practice.

Zhu, J., Shen, X., Liu, Y., Yang, K., Wu, H., Lingpeng Lu, L., … Zhu, J. (2025). Associations of serum choline, betaine and trimethylamine N-oxide with gestational diabetes mellitus among Chinese pregnant women. BMJ Nutrition, Prevention, & Health, 8. https://doi.org/10.1136/bmjnph-2024-001111

Lamkin, K., Xu, L., Wang, K., Liu, Y., Yang, K., Wu, H., … Zhu, J. (2024). Choline and Betaine Intakes during Pregnancy in Relation to Risk of Gestational Diabetes Mellitus among Chinese Women. British Journal of Nutrition.

Zhu, J., Saikia, G., Zhang, X., Shen, X., & Kahe, K. (2024). One-carbon Metabolism Nutrients, Genetic Variation, and Diabetes Mellitus. DIABETES METAB J.

Hou, T., Shen, X., Zhang, S., Liang, M., Chen, L., & Lu, Q. (2024). AIGen: An Artificial Intelligence Software for Complex Genetic Data Analysis. Briefings in Bioinformatics, 25(6). https://doi.org/https://doi.org/10.1093/bib/bbae566

Shen, X., & Wang, X. (2024). An Exploration of Testing Genetic Associations Using Goodness-of-Fit Statistics Based on Deep ReLU Neural Networks. Frontiers in Systems Biology, 4. https://doi.org/https://doi.org/10.3389/fsysb.2024.1460369

Shen, X., Jiang, C., Sakhanenko, L., & Lu, Q. (2023). Asymptotic Properties of Neural Network Sieve Estimators. Journal of Nonparametric Statistics. https://doi.org/10.1080/10485252.2023.2209218

Tang, M., Hou, T., Tong, X., Shen, X., Zhang, X., Wang, T., & Lu, Q. (2022). Fast heritability estimation based on MINQUE and batch training. Briefings in Bioinformatics, 23(3). Retrieved from https://academic.oup.com/bib/article/23/3/bbac115/6563939

Shen, X., Jiang, C., Wen, Y., Li, C., & Lu, Q. (2022). A Brief Review on Deep Learning Applications in Genomic Studies. Frontieres in Systems Biology. Retrieved from https://www.frontiersin.org/articles/10.3389/fsysb.2022.877717/full

Shen, X., Jiang, C., & Lu, Q. (2021). [Review of A Goodness-of-fit Test Based on Neural Network Sieve Estimators, by L. Sakhanenko]. Statistics and Probability Letters, 174, 109100. Retrieved from https://www.sciencedirect.com/science/article/pii/S0167715221000626?casa_token=FCmoMuwqhlAAAAAA:E_TcS_m1IiZt5kSZB1PCoLeFTvDJ0RukcvGodCkqMe2PZGw_Ami3PBkt4zjw86yfzFj0bO8Mqg

Shen, X., Wen, Y., & Lu, Q. (2021). [Review of A Conditional Autoregressive Model for Genetic Association Analysis Accounting for Genetic Heterogeneity, by Y. Cui]. Statistics in Medicine. Retrieved from https://onlinelibrary.wiley.com/doi/full/10.1002/sim.9257

Shen, X., & Lu, Q. (2018). Joint Analysis of Genetic and Epigenetic Data Using a Conditional Autoregressive Model. BMC Genetics, 19, 51--54. Retrieved from https://bmcgenomdata.biomedcentral.com/articles/10.1186/s12863-018-0641-8

Wen, Y., Shen, X., & Lu, Q. (2018). Genetic Risk Prediction Using a Spatial Autoregressive Model. Statistics in Medicine, 37, 3764--3775. Retrieved from https://onlinelibrary.wiley.com/doi/full/10.1002/sim.7832?casa_token=GTt1P-pNn8EAAAAA%3AR7y8lPCEwdspgY5PKt6nSgHuMe-Y8bUiw6ltxdiaHidTOySC3iiuUoJR6x0ihwR3JGXc1jyZIednUus

Yang, K., & Shen, X. (2017). On the Selection Consistency of Bayesian Structured Variable Selection. Stat, 6, 131--144. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/sta4.141

Shen, X. (2017). Direct Care Workforce training: Internet Accessibility and Acceptance. Journal of Gerontological Nursing.

Shen, X. (2017). Do Canes or Walkers Make Any Difference? Nonuse and Fall Injuries. The Gerontologist.