DEPARTMENT OF APPLIED MATHEMATICS 79 Email j.huang@polyu.edu.hk Qualification PhD (University of Washington) ORCID ID 0000-0002-5218-9269 Prof. HUANG Jian Chair Professor of Data Science and Analytics Research Overview Prof. Huang's research interests include machine learning, high-dimensional statistics, computational statistics, biostatistics and bioinformatics. He has published widely in the fields of Statistics, Biostatistics, Machine Learning, Bioinformatics and Econometrics. Representative Publications • Zhou, X., Jiao, Y., Liu, J., and Huang, J. (2022). A deep generative approach to conditional sampling. Journal of the American Statistical Association, 1-12 • Huang, J., Jiao, Y., Li, Z., Liu, S., Wang, Y. and Yang, Y. (2022). An error analysis of generative adversarial networks for learning distributions. Journal of Machine Learning Research 23 (116), 1-43 • Shen, G., Jiao, Y., Lin, Y. and Huang, J. (2022). Approximation with CNNs in Sobolev space: with applications to classification. 36th Conference on Neural Information Processing Systems 2022 • Liu, S., Yang, Y., Huang, J., Jiao, Y., Wang, Y. (2021). Non-asymptotic error bounds for bidirectional GANs. 35th Conference on Neural Information Processing Systems 2021 • Huang, J., Jiao Y., Lv, X. and Liu Y. (2018). A constructive approach to L0- penalized regression. Journal of Machine Learning Research, 19(10):1-37 • Ma, S. and Huang, J. (2017). A concave pairwise fusion approach to subgroup analysis. Journal of the American Statistical Association, 112, 410-423 • Yi, C. and Huang, J. (2017). Semismooth Newton coordinate descent algorithm for elastic-net penalized Huber loss regression and quantile regression. Journal of Computational and Graphical Statistics, 26, 547-557 • Huang, J., Horowitz, J. L. and Wei F. (2010). Variable selection in nonparametric additive models. Annals of Statistics, 38, 2282-2313 Achievements Prof. Huang was designated a highly cited researcher in the field of Mathematics from 2015 to 2019 by the Web of Science group at Clarivate and was included in the list of Top 2% of the World's most-cited scientists by Elsevier BV and Stanford University in 2021. Prof. Huang is a fellow of the American Statistical Association and a fellow of the Institute of Mathematical Statistics.
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