Administrative Title:
Associate Dean
Professional Title:
Office:
Email:
huangh89@ruc.edu.cn
Education
2006.08-2010.12,University of Maryland, Baltimore County Ph.D. in Statistics
2000.09-2004.07,University of Science and Technology,B.S. in Statistics
Experience
2023.09-present,School of Statistics, Renmin University of China,Professor
2017.08-2023.09,School of Mathematics, Sun Yat-sen University,Professor
2013.06-2017.07,School of Mathematical Science/ Center for Statistical Science, Peking University,Research Scientist
2012.03-2013.05,School of Business, University of Miami,Postdoc Associate
2010.10-2012.02,School of Public Health, Yale University,Postdoc Associate
Research Interests
Spatial Statistics, Functional Data Analysis, Spatial Epidemiology, Environmental Statistics
Funding
1. Analysis of Complex Structured Data Based on Gaussian Random Fields, Key Program of the National Natural Science Foundation of China.,12231017,Co-PI,2023-2027
2. Mechanism- and Data-Driven Fusion Research for Accurate Prediction of Extreme Weather Events, Major Program of the National Natural Science Foundation of China.,12292984,Key Personnel,2023-2027
3. Synergistic Control and Demonstration of PM2.5 and Ozone Pollution in the Pearl River Delta, Guangdong Provincial Key R&D Program, Department of Science and Technology of Guangdong Province.,2019B110206001,Key Personnel,2019-2022
4. Statistical Modeling for Massive Spatio-Temporal Data: Methods and Applications, General Program of the National Natural Science Foundation of China,11871485,PI,2019-2022
5. Statistical Diagnostic Model for Air Quality, National Key R&D Program of China, Ministry of Science and Technology ,2016YFC0207700,Co-PI,2016-2021
6. National-Level Talent Program (Youth Project),PI,2015
7. Joint Statistical Modeling Based on Functional Data Analysis: Theory and Applications, Young Scientists Fund, National Natural Science Foundation of China,11401013,PI,2015-2017
Publications
[1] Luo, F., Tan, J., Zhang, D., Huang, H.* & Shen, Y.* (2025). “Functional Clustering For Longitudinal Associations Between Social Determinants Of Health And Stroke Mortality In The Us”. The Annals of Applied Statistics, 19(1), 798-820
[2] Tan, J., Zhang, G., Wang, X.*, Huang, H.*, & Yao, F.* (2024). “Green’s matching: an efficient approach to parameter estimation in complex dynamic systems”. Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(5), 1266-1285
[3] Tan, J., Liang, D., Guan, Y. & Huang, H. *(2024). “Graphical Principal Component Analysis of Multivariate Functional Time Series”. Journal of the American Statistical Association, 119(548), 3073–3085
[4] Chen, Y., Chang, X., Zhang, B. and Huang, H.*(2024) “Efficient and effective calibration of numerical model outputs using hierarchical dynamic models." The Annals of Applied Statistics, 18(2) 1064-1089.
[5] Chen, Y., Chang, X., Luo, F. and Huang, H.* (2023). “Additive dynamic models for correcting numerical model outputs”, Computational Statistics and Data Analysis ,187, 107799
[6] He, Y., Martinez, L., Ge, Y., Feng, Y., Chen, Y., Tan, J., … , Huang, H.*, Sun, J. *and Shen, Y.* (2023). “Social mixing and network characteristics of COVID-19 patients before and after widespread interventions: A population-based study”. Epidemiology and Infection, 151, e141.
[7] Tan, J., Shen, Y., Ge, Y., Martinez, L. & Huang, H.* (2023) Age-related model for estimating the symptomatic and asymptomatic transmissibility of COVID-19 patients. Biometrics, 79, 2525–2536.
[8] Wang, F., Duan, C., Li, Y., Huang, H.*, & Shia, B. C. (2024). “Spatiotemporal varying coefficient model for respiratory disease mapping in Taiwan”. Biostatistics , 25(1), 40–56.
[9] Tan, J., Ge, Y., Martinez, L., Sun, J., Li, C., Westbrook, A., … Huang, H. *(2022). “Transmission roles of symptomatic and asymptomatic COVID-19 cases: a modelling study”. Epidemiology and Infection, 150, e171.
[10] Li, C., Shen, Y.*, Xiao, Q., Rathbun, S. L., Huang, H. and Guan, Y. (2021) “Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias”, Statistical Methods in Medical Research, 31(2):315-333
[11] Guo Zerui, Huang Hui, Tan Jianbin, Sun Wanwan, Feng Yan, Pan Jinren, Ge Yang, Shen Ye, Ling Feng* (2021) "Analysis of Factors Affecting the Detection Rate of Asymptomatic Infections of COVID-19 through Close Contact Investigation", Chinese Journal of Preventive Medicine, Vol. 22, No. 8
[12] Liang, D., Huang, H., Guan, Y. and Yao, F.* (2022) “Test of Weak Separability for Spatially Stationary Functional Field”, Journal of the American Statistical Association, 118 (543), 1606–1619
[13] Xu, G., Wang, M., Bian, J., Burch, T., Andrade, S., Huang, H., Zhang, J. and Guan, Y*. (2020) “Semiparametric Learning of Structured Temporal Point Processes”, Journal of Machine Learning Research, 21(192):1−39,
[14] Wan, Y., Xu, M.Y., Huang, H. and Chen, S.X. *(2020) “A spatio-temporal model for the analysis and prediction of fine particulate matter concentration in Beijing”, Environmetrics, DOI: 10.1002/env.2648
[15] Liang, D., Zhang, H., Chang, X. and Huang, H.* (2020) “Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Model”, Journal of the American Statistical Association, 116:533, 116-132
[16] Liang, X., S. Li, S. Zhang, H. Huang*, and S. X. Chen* (2016), “PM2.5 datareliability, consistency, and airquality assessment in five Chinese cities”, Journal of Geophysical Research: Atomspheres, 121, 10,220–10,236
[17] Shen, Y*., Huang, H. and Guan, Y. (2016), “A Conditional Estimating Equation Approach for Recurrent Event Data with Additional Longitudinal Information”, Statistics in Medicine, 35, 4306-4319
[18] 《Handbook of Medical Statistics》(2016)Chinese and English version,Chapter 7, “Spatiotemporal Data Analysis”
[19] Liang, X., Zou, T., Guo, B., Li, S., Zhang, H., Zhang, S., Huang, H.*, Chen, S-C*. (2015), “Assessing Beijing’s PM2.5 Pollution: Severity, Weather Impact, APEC and Winter Heating", Proceedings Royal Society A, 471:2182.
[20] Huang, H., Li, Y., and Guan, Y. *(2014), “Joint modeling and clustering paired generalized longitudinal trajectories with application to cocaine abuse treatment data”, Journal of the American Statistical Association, 109, 1412-1424.
[21] Huang, H., Ma, X., Waagepetersen, R., Holford, T., Wang, R., Risch, H., and Guan, Y.* (2014), “A new estimation approach for combining spatial epidemiology data obtained from different sources”, Journal of the American Statistical Association, 109, 11-23.
[22] Huang, H.*, Roy, A., Adali, T., and Correa,N. (2012), “Bootstrap Testing of 2D Electrophoresis Gels Across Groups”, Stat, 1, 115-124.
[23] Huang, Y., Labiner-Wolfe, J., Huang, H., Choiniere, C. and Fein, C. (2013), “Association of health profession and direct-to-consumer marketing with infant formula choice and switching”, Birth,40, 24-31.
[24] Gong, T., Li, F., Huang, H., Dong, X., Tang, J. and Tang, X. (2010). “Relations of maternal and child MTR, MTRR gene polymorphism with CHD”, Acta Academia Medicinea Militaries Tertiae, 2, 127–130.
Teaching
1. Undergraduate-level Courses:Time Series Analysis, Bayesian Statistics, Statistical Computing, Multivariate Analysis, Statistical Learning
2. Graduate-level Courses:Functional Data Analysis, Spatial Statistics
