An effective intrusion detection framework based on SVM with feature augmentation. - Huiwen Wang; Jie Gu; Shanshan Wang 005 (Knowl. Based Syst., 2017)

Penalized empirical likelihood inference for sparse additive hazards regression with a diverging number of covariates. - Shanshan Wang 005; Liming Xiang (Stat. Comput., 2017)

Semiparametric regression analysis of clustered survival data with semi-competing risks. - Mengjiao Peng; Liming Xiang; Shanshan Wang 005 (Comput. Stat. Data Anal., 2018)

A novel approach to intrusion detection using SVM ensemble with feature augmentation. - Jie Gu; Lihong Wang; Huiwen Wang; Shanshan Wang 005 (Comput. Secur., 2019)

Incremental modelling for compositional data streams. - Yuan Wei; Huiwen Wang; Shanshan Wang 005; Gilbert Saporta (Commun. Stat. Simul. Comput., 2019)

Bayesian quantile regression and variable selection for partial linear single-index model: Using free knot spline. - Yang Yu; Zhihong Zou; Shanshan Wang 005 (Commun. Stat. Simul. Comput., 2019)

Linear mixed-effects model for multivariate longitudinal compositional data. - Zhichao Wang; Huiwen Wang; Shanshan Wang 005 (Neurocomputing, 2019)

Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization. - Huiwen Wang; Ruiping Liu; Shanshan Wang 005; Zhichao Wang; Gilbert Saporta (Comput. Stat., 2020)

A robust spatial autoregressive scalar-on-function regression with t-distribution. - Tingting Huang; Gilbert Saporta; Huiwen Wang; Shanshan Wang 005 (Adv. Data Anal. Classif., 2021)

A flexible spatial autoregressive modelling framework for mixed covariates of multiple data types. - Huiwen Wang; Tingting Huang; Shanshan Wang 005 (Commun. Stat. Simul. Comput., 2021)

Convex clustering method for compositional data via sparse group lasso. - Xiaokang Wang 002; Huiwen Wang; Shanshan Wang 005; Jidong Yuan (Neurocomputing, 2021)

Robust regression for interval-valued data based on midpoints and log-ranges. - Qing Zhao; Huiwen Wang; Shanshan Wang 005 (Adv. Data Anal. Classif., 2023)

Variable selection for multivariate functional data via conditional correlation learning. - Keyao Wang; Huiwen Wang; Shanshan Wang 005; Lihong Wang (Comput. Stat., 2024)