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Zhiyang Zhou

Zhiyang Zhou

  • Assistant Professor, Biostatistics

Education

Ph.D. in Statistics, Simon Fraser University, Canada
M.Sc. in Probability & Statistics, Nankai University, China
B.Sc. in Statistics, Beijing Normal University, China

Bio

Zhiyang is an Assistant Professor of Biostatistics in 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. His research interest lies at statistics and deep learning, both methodologically and theoretically. Also, he has got an enthusiasm for collaborative and applied works. See his curriculum vitae (updated on 2023/Sep/01).

Research

Interests

  • Deep learning/deep neural networks
  • Functional/longitudinal data analysis
  • Survival analysis
  • Tensor data analysis
  • Design of experiments

Preprints

Z. Zhou, & R. A. Lockhart. (2020). Partial least squares for sparsely observed curves with measurement errors. arXiv:2003.11542
R github.com/ZhiyangGeeZhou/PLEASS

Peer-reviewed

J. Liu, Z. Zhou, X. Cheng, & N. Vangeepuram. (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

Y. Deng, L. Liu, H. Jiang, Y. Peng, Y. Wei, Z. Zhou, Y. Zhong, Y. Zhao, X. Yang, J. Yu, Z. Lu, A. Kho, H. Ning, N. B. Allen, J. T. Wilkins, K. Liu, D. M. Lloyd-Jones, & L. Zhao. (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

Z. Zhou, & P. Sang. (2022). Continuum centroid classifier for functional data. Canadian Journal of Statistics 50:200–220. doi:10.1002/cjs.11624
R github.com/ZhiyangGeeZhou/CCC

Y. Zhao, Y. Wang, J. Liu, H. Xia, Z. Xu, Q. Hong, Z. Zhou, & L. Petzold. (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

Z. Zhou. (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

Z. Zhou. (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

Z. Zhou, & R. Zhang. (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

W. Wang, D. Gong, Z. Zhou, & Y. Guo. (2012). Robustness of the aerosol weekly cycle over Southeastern China. Atmospheric Environment 61:409–418. doi:10.1016/j.atmosenv.2012.07.029

Presentations

2023/Dec/18, 16th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2023)

2023/Jul/08, 12th ICSA International Conference

2022/Dec/17, 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics 2022)

2022/Oct/25, Biostatistics and Bioinformatics Round, George & Fay Yee Centre for Healthcare Innovation

2022/Oct/24, Biostatistics Seminar Series, Northwestern University

2022/Jul/10, ICSA-Canada Chapter Symposium

2022/Jun/20, ICSA Applied Statistics Symposium

2022/Jun/07, Machine Learning Special Interest Group Meeting, George & Fay Yee Centre for Healthcare Innovation

2021/Oct/22, NIC-ASA & ICSA Midwest Chapter Joint Fall Meeting

2021/Sep/13, ICSA Applied Statistics Symposium

2020/Aug/06, Joint Statistical Meeting

2019/Aug/09, ICSA-Canada Chapter Symposium

2016/May/30, SSC Annual Meeting

Funding

Principal Investigator, NSERC Discovery Grant (with the Discovery Launch Supplement, 2022/Apr/01–2027/Mar/31; terminated early on 2023/Sep/01 due to relocation)

Principal Investigator, University of Manitoba Research Startup Fund (2021/Sep/02–2027/Sep/01; terminated early on 2023/Sep/01 due to relocation)