ZhiyangGeeZhou

Zhiyang's Homepage

Zhiyang Zhou , PhD

1240 N 10th St., Milwaukee, WI 53205
zhou67uwmedu



ABOUT

Zhiyang is an Assistant Professor of Biostatistics in the Joseph J. Zilber College of Public Health at the University of Wisconsin-Milwaukee. Prior to the current appointment, he was an Assistant Professor in the Department of Statistics at the University of Manitoba. Zhiyang’s research is situated at the intersection of statistics and machine learning, focusing on the development of novel methods to enhance predictive performance and strengthen statistical inference. He also adapts and extends classical techniques to accommodate complex and heterogeneous data structures, applying rigorous statistical reasoning to address real-world challenges. See his curriculum vitae (updated on 2025/May/04).

INTERESTS

APPOINTMENTS

EDUCATION

RESEARCH

PEER-REVIEWED

  1. Liu, J., Zhou, Z., Cheng, X., Zhang, D., Li, L., Zhang, X., & Vangeepuram, N. (2024). Food insecurity trends and disparities according to immigration status in the US households, 2011–2021. Preventive Medicine 187:108121. doi:10.1016/j.ypmed.2024.108121
  2. Liu, J., Zhou, Z., Cheng, X., & Vangeepuram, N. (2023). Geographic and sociodemographic variations in prevalence of mental health symptoms among US youths, 2022. American Journal of Public Health 113:1116–1119. doi:10.2105/AJPH.2023.307355
  3. Deng, Y., Liu, L., Jiang, H., Peng, Y., Wei, Y., Zhou, Z., Zhong, Y., Zhao, Y., Yang, X., Yu, J., Lu, Z., Kho, A., Ning, H., Allen, N. B., Wilkins, J. T., Liu, K., Lloyd-Jones, D. M., & Zhao, L. (2023). Comparison of state-of-the-art neural network survival models with the pooled cohort equations for cardiovascular disease risk prediction. BMC Medical Research Methodology 23:22. doi:10.1186/s12874-022-01829-w
  4. Zhou, Z., & Sang, P. (2022). Continuum centroid classifier for functional data. Canadian Journal of Statistics 50:200–220. doi:10.1002/cjs.11624
    R github.com/ZhiyangGeeZhou/CCC
  5. Zhao, Y., Wang, Y., Liu, J., Xia, H., Xu, Z., Hong, Q., Zhou, Z., & Petzold, L. (2021). Empirical quantitative analysis of COVID-19 forecasting models. 2021 International Conference on Data Mining Workshops (ICDMW) 517–526. (Best Paper Award) doi:10.1109/ICDMW53433.2021.00069
  6. Zhou, Z.. (2021). Fast implementation of partial least squares for function-on-function regression. Journal of Multivariate Analysis 185:104769. doi:10.1016/j.jmva.2021.104769
    R github.com/ZhiyangGeeZhou/fAPLS
  7. Zhou, Z.. (2019). Functional continuum regression. Journal of Multivariate Analysis 173:328–346. doi:10.1016/j.jmva.2019.03.006
    R github.com/ZhiyangGeeZhou/Functional-continuum-regression
  8. Zhou, Z., & Zhang, R. (2014). A generalized general minimum lower order confounding criterion for nonregular designs. Journal of Statistical Planning and Inference 148:95–100. doi:10.1016/j.jspi.2013.12.003
    R github.com/ZhiyangGeeZhou/G-GMC
  9. Wang, W., Gong, D., Zhou, Z., & Guo, Y. (2012). Robustness of the aerosol weekly cycle over Southeastern China. Atmospheric Environment 61:409–418. doi:10.1016/j.atmosenv.2012.07.029

PREPRINTS

INVITED PRESENTATIONS

FUNDING

TEACHING

COURSES IN PROGRESS

SUPERVISION FOR

CO-SUPERVISION FOR

ADVISORY COMMITTEE MEMBER FOR

SERVICE

EDITORIAL BOARD MEMBER

REVIEWER

CONFERENCE COMMITTEE MEMBER

UNIVERSITY COMMITTEE MEMBER

CHAIRING

ARCHIVE OF TEACHING ACTIVITIES

INSTRUCTION @uwm.edu

INSTRUCTION @umanitoba.ca

INSTRUCTION @sfu.ca

TUTORING @sfu.ca

MARKING @sfu.ca