Interoperability: an indispensable propellant of e-China. - Weixin Yao (Int. J. Serv. Stand., 2005)

Robust fitting of mixture regression models. - Xiuqin Bai; Weixin Yao; John E. Boyer (Comput. Stat. Data Anal., 2012)

An adaptive estimation of MAVE. - Qin Wang; Weixin Yao (J. Multivar. Anal., 2012)

Model based labeling for mixture models. - Weixin Yao (Stat. Comput., 2012)

Robust variable selection through MAVE. - Weixin Yao; Qin Wang (Comput. Stat. Data Anal., 2013)

A Simple Solution to Bayesian Mixture Labeling. - Weixin Yao (Commun. Stat. Simul. Comput., 2013)

Robust mixture regression model fitting by Laplace distribution. - Weixing Song; Weixin Yao; Yanru Xing (Comput. Stat. Data Anal., 2014)

Robust mixture regression using the t-distribution. - Weixin Yao; Yan Wei; Chun Yu (Comput. Stat. Data Anal., 2014)

Adaptive estimation for varying coefficient models. - Yixin Chen; Qin Wang; Weixin Yao (J. Multivar. Anal., 2015)

Maximum likelihood estimation of the mixture of log-concave densities. - Hao Hu; Yichao Wu; Weixin Yao (Comput. Stat. Data Anal., 2016)

Mixture of functional linear models and its application to CO2-GDP functional data. - Shaoli Wang; Mian Huang; Xing Wu; Weixin Yao (Comput. Stat. Data Anal., 2016)

Mixtures of quantile regressions. - Qiang Wu; Weixin Yao (Comput. Stat. Data Anal., 2016)

Semiparametric mixture: Continuous scale mixture approach. - Sijia Xiang; Weixin Yao; Byungtae Seo (Comput. Stat. Data Anal., 2016)

Robust estimation of the number of components for mixtures of linear regression models. - Meng Li; Sijia Xiang; Weixin Yao (Comput. Stat., 2016)

The robust EM-type algorithms for log-concave mixtures of regression models. - Hao Hu; Weixin Yao; Yichao Wu (Comput. Stat. Data Anal., 2017)

Relabel mixture models via modal clustering. - Qiang Wu; Weixin Yao (Commun. Stat. Simul. Comput., 2017)

Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator. - Li Yang; Sijia Xiang; Weixin Yao (Commun. Stat. Simul. Comput., 2017)

Robust linear regression: A review and comparison. - Chun Yu; Weixin Yao (Commun. Stat. Simul. Comput., 2017)

Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models. - Farzana Kabir; Nanpeng Yu; Weixin Yao; Rui Yang 015; Yingchen Zhang (SmartGridComm, 2019)

Hypothesis testing for finite mixture models. - Supawadee Wichitchan; Weixin Yao; Guangren Yang (Comput. Stat. Data Anal., 2019)

Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data. - Lin Xu; Sijia Xiang; Weixin Yao (J. Multivar. Anal., 2019)

Semiparametric mixtures of regressions with single-index for model based clustering. - Sijia Xiang; Weixin Yao (Adv. Data Anal. Classif., 2020)

Pursuing Sources of Heterogeneity in Modeling Clustered Population. - Yan Li; Chun Yu; Yize Zhao; Robert H. Aseltine; Weixin Yao; Kun Chen 002 (CoRR, 2020)

Regression estimation via information-weighted composite models with different dimensions. - Mian Huang; Kang He; Weixin Yao (Commun. Stat. Simul. Comput., 2021)

Editorial for ADAC issue 1 of volume 16 (2022). - Salvatore Ingrassia; Julien Jacques; Weixin Yao (Adv. Data Anal. Classif., 2022)

Special issue on "Models and learning for clustering and Classification". - Salvatore Ingrassia; Julien Jacques; Weixin Yao (Adv. Data Anal. Classif., 2022)

Supervised Dictionary Learning with Auxiliary Covariates. - Joowon Lee; Hanbaek Lyu; Weixin Yao (CoRR, 2022)

A new class of multivariate goodness of fit tests for multivariate normal mixtures. - Supawadee Wichitchan; Weixin Yao; Chun Yu (Commun. Stat. Simul. Comput., 2022)

Robust estimation and outlier detection for varying-coefficient models via penalized regression. - Guangren Yang; Sijia Xiang; Weixin Yao; Lin Xu (Commun. Stat. Simul. Comput., 2022)

Nonparametric statistical learning based on modal regression. - Sijia Xiang; Weixin Yao (J. Comput. Appl. Math., 2022)

A Fast Inter-prediction Mode Decision Algorithm for HEVC Based on Spatial-Temporal Correlation. - Weixin Yao; Dan Yang (J. Inf. Process. Syst., 2022)

Exponentially Convergent Algorithms for Supervised Matrix Factorization. - Joowon Lee; Hanbaek Lyu; Weixin Yao (NeurIPS, 2023)

Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm. - Bo Kai; Mian Huang; Weixin Yao; Yuexiao Dong (J. Comput. Graph. Stat., 2023)

Supervised Matrix Factorization: Local Landscape Analysis and Applications. - Joowon Lee; Hanbaek Lyu; Weixin Yao (ICML, 2024)

A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions. - Hongpeng Yuan; Sijia Xiang; Weixin Yao (Comput. Stat., 2024)

Machine learning embedded EM algorithms for semiparametric mixture regression models. - Jiacheng Xue; Weixin Yao; Sijia Xiang (Comput. Stat., 2025)

POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning. - Fangyi Cao; Bin Ren; Zihao Wang; Shiwei Fu; Youbin Mo; Xiaoyang Liu; Yuzhou Chen; Weixin Yao (CoRR, 2025)

t distribution-based robust semiparametric mixture regression model. - Yan Ge; Sijia Xiang; Weixin Yao (Commun. Stat. Simul. Comput., 2025)