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)

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

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)

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)

NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection. - Kai Zeng; Qiang Ma 004; Jiawen Wu; Sijia Xiang; Tao Shen 004; Lei Zhang 110 (Neurocomputing, 2022)

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

Can we realize nonnegative blind source separation with incomplete matrix? - Mingzhan Zhao; Zhiliang Wang; Sijia Xiang; Zhen Zhao (Signal Image Video Process., 2023)

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)

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