Research at FAST

88 Department of Applied Mathematics Department of Applied Mathematics Qualification BSc (USTC) PhD (NUS) Postdoc (CMU) ORCID ID 0000-0002-1992-4815 Dr JIANG Binyan Associate Professor Research Overview Dr Jiang received his BSc in Statistics from the University of Science and Technology of China in 2007, and his PhD in Statistics and Applied Probability from the National University of Singapore in 2012. Prior to joining PolyU in 2015, he was a Postdoc in Carnegie Mellon University. Dr Jiang is interested in different areas in Statistics and Applied Probability, such as High dimensional data analysis, Survival data analysis, Network data analysis, Personalized medicine, with a current research focus on classification problems for data with complex structures, and statistical modelling of network data. Representative Publications • C Wang, B Jiang , L Zhu ( 2020 ) Penalized interaction estimation for ultrahigh dimensional quadratic regression. Stat Sin, to appear • B Jiang , Z Chen and C Leng ( 2020 ) Dynamic linear discriminant analysis in high dimensional space. Bernoulli, 26, 1234-1268 • B Jiang , R Song, J Li and D Zeng ( 2019 ) Entropy learning for dynamic treatment regimes (with Discussions). Stat Sin, 29, 1633-1710 • T Yan, B Jiang , SE Fienberg, C Leng ( 2019 ) Statistical inference in a directed network model with covariates. J Am Stat Assoc, 114, 857-868 • B Jiang , X Wang, C Leng ( 2019 ) A direct approach for sparse quadratic discriminant analysis. J Mach Learn Res, 19 (31) • J Li, B Jiang , JP Fine ( 2013 ) Multicategory reclassification statistics for assessing improvements in diagnostic accuracy. Biostat, 14, 382-394 • B Jiang , WL Loh ( 2012 ) On the sparsity of signals in a random sample. Biometrika, 99, 915-928