3D face analysis for distinct features using statistical randomization. - Chunxiao Zhou; Yuxiao Hu 001; Yun Fu 001; Huixia Judy Wang; Thomas S. Huang; Yongmei Michelle Wang (ICASSP, 2008)

Efficient Moments-based Permutation Tests. - Chunxiao Zhou; Huixia Judy Wang; Yongmei Michelle Wang (NIPS, 2009)

Editorial for the special issue on quantile regression and semiparametric methods. - Wing Kam Fung; Xuming He 002; Mia Hubert; Stephen Portnoy; Huixia Judy Wang (Comput. Stat. Data Anal., 2012)

Variance estimation in censored quantile regression via induced smoothing. - Lei Pang; Wenbin Lu; Huixia Judy Wang (Comput. Stat. Data Anal., 2012)

Variable selection in quantile varying coefficient models with longitudinal data. - Yanlin Tang; Huixia Judy Wang; Zhongyi Zhu (Comput. Stat. Data Anal., 2013)

Variable selection in high-dimensional quantile varying coefficient models. - Yanlin Tang; Xinyuan Song; Huixia Judy Wang; Zhongyi Zhu (J. Multivar. Anal., 2013)

Flexible modeling of survival data with covariates subject to detection limits via multiple imputation. - Paul W. Bernhardt; Huixia Judy Wang; Daowen Zhang (Comput. Stat. Data Anal., 2014)

Interquantile shrinkage and variable selection in quantile regression. - Liewen Jiang; Howard D. Bondell; Huixia Judy Wang (Comput. Stat. Data Anal., 2014)

A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits. - Paul W. Bernhardt; Daowen Zhang; Huixia Judy Wang (Comput. Stat. Data Anal., 2015)

A semiparametric Bayesian approach for joint-quantile regression with clustered data. - Woosung Jang; Huixia Judy Wang (Comput. Stat. Data Anal., 2015)

Penalized regression across multiple quantiles under random censoring. - Yanlin Tang; Huixia Judy Wang (J. Multivar. Anal., 2015)

Fused Adaptive Lasso for Spatial and Temporal Quantile Function Estimation. - Ying Sun 002; Huixia Judy Wang; Montserrat Fuentes (Technometrics, 2016)

Automatic identification of curve shapes with applications to ultrasonic vocalization. - Zhikun Gao; Yanlin Tang; Huixia Judy Wang; Guangying K. Wu; Jeff Lin (Comput. Stat. Data Anal., 2020)

Bayesian joint-quantile regression. - Yingying Hu; Huixia Judy Wang; Xuming He 002; Jianhua Guo 005 (Comput. Stat., 2021)

Extremal quantile autoregression for heavy-tailed time series. - Fengyang He; Huixia Judy Wang; Yuejin Zhou (Comput. Stat. Data Anal., 2022)

A Generalized Quantile Tree Method for Subgroup Identification. - Xiang Peng; Huixia Judy Wang (J. Comput. Graph. Stat., 2022)

Extremal local linear quantile regression for nonlinear dependent processes. - Fengyang He; Huixia Judy Wang (Comput. Stat. Data Anal., 2025)