Dr. Hsin-Hsiung Bill Huang is an Associate Professor in the Department of Statistics and Data Science at the University of Central Florida (UCF). Dr. Huang received his Ph.D. in Statistics from the University of Illinois at Chicago and two MS degrees from the Georgia Institute of Technology and National Taiwan University as well as the BA in Economics and BS in Mathematics degrees from National Taiwan University. His scholarly interests and expertise include Bayesian ultrahigh dimensional variable selection, regularized low-rank matrix-variate regression, clustering, classification, and dimension reduction.
His research addresses challenges in analyzing big data, interdisciplinary research, and developing new statistical methods for real-data challenges. He has developed new statistical methods for computed tomography (CT), developing a statistical reconstruction algorithm for positronium lifetime imaging using time-of-flight positron emission tomography (PET) and interdisciplinary research of developing algorithms for threat detection and large spatiotemporal data modeling challenges. He was awarded the UCF Research Incentive Award (RIA) in 2021. His current research is partially sponsored by his grants of the Algorithms of Threat Detection (ATD 2019: DMS-1924792 and ATD 2023: DMS-2318925) of the National Science Foundation (NSF) as a principal investigator (PI) and an NIH grant as a co-investigator. His team–UCF has won the top places in a row of the 2021, 2022 and 2023 ATD challenge competitions.2023 ATD Award 2022 ATD Award 2021 ATD Award
Variable Selection, Multiple Comparisons, Cluster Process, Robust Dimension Reduction, Bioinformatics, Biostatistics, and Computational Biology
- Huang H-H, Ensemble method of k-mer and natural vector for the phylogenetic analysis
of multiple-segmented viruses, submitted under review, 2014.
- Lu A T-H, Austin E, Bonner A, Huang H-H, and Cantor RM,
Applications of Machine Learning and Data Mining Methods to Detect Associations
of Rare and Common Variants with Complex Traits, Genetic Epidemiology, 38(S1),
- Zheng H, Yau S-C, Mao W, Yu C, Huang HH, He RL, Yang J, Yau SS-T.
Virus Database and Online Inquiry System Based on Natural Vector. On going
- Huang HH and J Yang.
Wishart-Dirichlet Process Cluster Analysis. On going
- Rashan A, Angelos P, Valika T, Aliaga GE, Huang HH, Nagy KL and Toriumi DM.
Rib Grafting for Rhinoplasty: The Impact of Age and Calcication on Costal Cartilage
Warping. Accepted by the American Academy of Facial Plastic and Reconstructive
Surgery proceedings, 2014
- Huang HH, Yu C, Hernandez T, Zheng H, Yau S-C, He RL, Yang J, Yau SS-T.
Global Comparison of Multiple-segmented Viruses in 12-dimensional Genome Space.
Accepted by Molecular Phylogenetics and Evolution, 2014
- Huang HH, Xu T and Yang J.
Comparing logistic regression, support vector machines, and permanental classication
methods in predicting hypertension. BMC Proceedings, 8(Suppl 1):S96, 2014.
- Yu C, Hernandez T, Zheng H, Yau S-C, Huang H-H, He RL, Yang J, Yau SS-T.
Real time classication of viruses in 12 dimensions, PLoS ONE 6(3): e17293.
- Huang H-H and Yeh Y-R.
Iterative Algorithm for Robust Kernel Principal Component Analysis, Neurocomputing, volume 74, number 18, pages 3921-3930, 2011.
- Huang H-H, Hsiao CK, and Huang S-Y.
Statistics: Non-linear Regression. International Encyclopedia of Education, 3rd Edition, Elsevier, 2009.
- Chen Hand Huang H-H.
Operating Characteristics of Cp-Lasso on Variables Selection in Linear Regression with Orthonormal Regressors. Academia Sinica technical report, 2009.
- STA 7348 – Bayesian modeling Computation