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Dr. LIAN Heng (練恒博士)

BSc (USTC) PhD(Brown)

Associate Professor

Contact Information

Office: Y6538 Academic 1 
Phone: +852 3442-6418
Fax: +852 3442-0250
Email: henglian@cityu.edu.hk
Web: Personal Homepage

Research Interests

  • high-dimensional data analysis
  • Machine learning
  • functional data analysis
  • Bayesian statistics
Dr. Lian got his PhD in Applied Mathematics from Brown University in 2007. He joined the city university of HK in 2016, after 7 years as an assistant professor in Nanyang Technological University and then 2 years as a senior lecturer at the university of New South Wales. His research interest include high-dimensional data analysis, distributed statistical estimation for large data, Bayesian statistics and functional data analysis.

Brittany Green, Heng Lian, Yan Yu and Tianhai Zu, Ultra-high dimensional semiparametric longitudinal data analysis, Biometrics, accepted
Ke Yuan, Heng Lian and Wenyang Zhang, High dimensional dynamic covariance matrices with homogeneous structure, Journal of Business and Economic Statistics, accepted
Heng Lian, Xinghao Qiao and Wenyang Zhang, Homogeneity pursuit in single index models based panel data analysis, Journal of Business and Economic Statistics, accepted
Heng Lian, Kaifeng Zhao and Shaogao Lv, Projected spline estimation of the nonparametric function in high-dimensional partially linear models for massive data, Annals of Statistics, 47, 2922-2949, 2019
Weihua Zhao, Fode Zhang and Heng Lian, Debiasing and Distributed Estimation for High-dimensional Quantile Regression, IEEE Transactions on Neural Networks and Learning Systems, 31, 2569-2577, 2019
Heng Lian and Zengyan Fan, Divide-and-conquer for debiased l1-norm support vector machine in ultra-high dimensions, Journal of Machine Learning Research, 18:1-26, 2018
Weihua Zhao, Heng Lian and Dipankar Bandyopadhyay, A partially linear additive model for clustered proportion data, Statistics in Medicine, 37: 1009-1030, 2018
Shaogao Lv, Huazhen Lin, Heng Lian and Jian Huang, Oracle inequalities for sparse additive quantile regression in reproducing kernel Hilbert space, Annals of Statistics, 46(2):781-813, 2018
Kejun He, Heng Lian, Shujie Ma and Jianhua Huang, Dimensionality reduction and variable selection in multivariate varying-coefficient models with a large number of covariates, Journal of the American Statistical Association, 113:746-754, 2018
Jun Zhang and Heng Lian, Partially linear additive models with unknown link functions, Scandinavian Journal of Statistics, 45: 255-282, 2018
Weihua Zhao, Heng Lian and Hua Liang, Quantile regression for the single-index coefficient model, Bernoulli, 23:1997-2027, 2017
Xingyu Tang and Heng Lian, Mean and quantile boosting for partially linear additive models, Statistics and Computing, 26: 997-1008, 2016
Heng Lian, Hua Liang and Raymond. J. Carroll, Variance Function Partially Linear Single-Index Models, Journal of the Royal Statistical Society, Series B, 77(1): 171-194, 2015
Yuao Hu, Robert Gramacy and Heng Lian, Bayesian quantile regression for single-index models, Statistics and Computing, 23(4): 437-454, 2013
Heng Lian and Hua Liang, Generalized additive partial linear models with high-dimensional covariates, Econometric Theory, 29(6):1136-1161, 2013
Yuao Hu, Ye Tian and Heng Lian, Letter to editor (comments on the paper "Sparse least trimmed squares regression for analyzing high-dimensional large data sets" by Alfons et.al), Annals of Applied Statistics, 7(2): 1244-1246, 2013
Heng Lian, Peng Lai and Hua Liang, Partially linear structure selection in Cox models with varying coefficients, Biometrics, 69(2): 348-357, 2013
Heng Lian, Semiparametric estimation of additive quantile regression models by two-fold penalty, Journal of Business and Economic Statistics, 30(3): 337-350, 2012
Heng Lian, Xin Chen and Jian-Yi Yang, Identification of partially linear structure in additive models with an applications to gene expression prediction from sequences, Biometrics, 68(2): 437-445, 2012.
Robert Gramacy and Heng Lian, Gaussian process single-index models as emulators for computer experiments, Technometrics, 54(1): 30-41, 2012
Aditya Chopra and Heng Lian, Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images, Pattern Recognition, 43(8):2609-2619, 2010
Heng Lian, Bayesian nonlinear principal component analysis using random fields, IEEE Trans. Pattern Analysis and Machine Intelligence, 31(4):749-754, 2009
Heng Lian, MOST: Detecting cancer differential gene expression, Biostatistics , 9(3): 411-418, 2008
Heng Lian, William Thompson, Robert Thurman, John Stam, William Noble and Charles.E. Lawrence, Automated mapping of chromatin structure in ENCODE, Bioinformatics, 24: 1911-1916, 2008
Heng Lian, On the consistency of Bayesian function approximation using step functions. Neural Computation 19(11):2871-2880, 2007

Previous Experience

  • 2014 - 2016, Senior Lecturer, University of New South Wales.
  • 2007 - 2014, Assistant Professor, Nanyang Technological University.

Editorial Services

  • Associate Editor, Statistics and Its Interface
  • Associate Editor, Journal of the Korean Statistical Society

Research Assistant Position

  • A research assistant position is available to work in the area of semiparametric statistics. Candidate is required to have a master's degree in statistics or related area, with proficiency in R programming, with demonstrated research ability with publications in good SCI journals.

Last update date : 26 Jul 2020