Journal Papers

See also my Google Scholar.

  • Fan, X., Liu, M., Fang, K., Huang, Y., & Ma, S. (2017).
    Promoting structural effects of covariates in the cure rate model with penalization.
    Statistical Methods in Medical Research. In press.
  • Hao, C., Shi, X., Zhang, Q., Huang, Y., & Ma, S. (2017).
    Analysis of cancer gene expression data with an assisted robust marker identification approach.
    Genetic Epidemiology. In press.
  • Coca, S.G., Nadkarni, G.N., Huang, Y., Moledina, D., Rao, V., Zhang, J.,…Parikh, C.R. (2017).
    Plasma biomarkers and kidney function decline in early and established diabetic kidney disease.
    Journal of the American Society of Nephrology. In press.
  • Huang, Y., Zhang, Q., Zhang, S., Huang, J., & Ma, S. (2016)
    Promoting similarity of sparsity structures in integrative analysis. (website, pdf)
    Journal of the American Statistical Association, in press.
  • Huang, Y., Liu, J., Yi, H., Shia, BC., & Ma, S. (2016)
    Promoting similarity of model sparsity structures in integrative analysis of cancer genetic data. (website, pdf)
    Statistics in Medicine, in press.
  • Fan, X., Liu, M., Fang, K., Huang, Y., & Ma, S. (2016)
    Promoting structural effects of covariates in the cure rate model with penalization.
    Statistical Methods in Medical Research, in press.
  • Percival, C. J., Huang, Y., Jabs, E. W., Li, R., & Richtsmeier, J. T. (2014)
    Embryonic craniofacial bone volume and bone mineral density in Fgfr2+/P253R and nonmutant mice. (website, pdf, bib)
    Developmental Dynamics, 243(4): 541-551.
  • Huang, Y., Huang, J., Shia, BC., & Ma, S. (2012)
    Identification of cancer genomic markers via integrative sparse boosting. (website, pdf, bib)
    Biostatistics, 13(3): 509-522.
  • Ma, S., Huang, Y., Huang, J., & Fang, K. (2012)
    Gene network-based cancer prognosis analysis with sparse boosting. (website, pdf, bib)
    Genetic Research, 94(4): 205-221.
  • Ma, S., Zhang, Y., Huang, J., Huang, Y., Lan, Q., Rothman, N., & Zhang, T. (2012)
    Integrative analysis of cancer prognosis data with multiple subtypes using regularized gradient descent. (website, pdf, bib)
    Genetic Epidemiology, 36(8): 829-838.

Working Papers

  • Li, R., Huang, Y., Wang, L., & Xu, C.(2016)
    Projection test for high-dimensional mean vectors with optimal direction.
  • Zhang, Q., Huang, Y., & Ma, S. (2016)
    Promote sign consistency in the joint estimation of precision matrices.

Book Chapters

  • Percival, C. J., Kawasaki, K., Huang, Y., Weiss, K., Jabs, E.W., Li, R. & Richtsmeier, J. T. (In press). The contribution of angiogenesis to variation in bone development and evolution. In: Building Bones: Bone Formation and Development in Anthropology (Eds: Percival, C. J. and Richtsmeier, J.T.), Cambridge Studies in Biological and Evolutionary Anthropology, Cambridge University Press.

Proceedings

  • Huang, Y., Wang, X., & Shia, BC. (2009). Efficiency and consistency study on Carma. In NCM’09 Proceedings of the 5th International Joint Conference on INC, IMS, and IDC (pp. 589-594). IEEE. (website, bib)