Transmuted Linear Exponential Distribution: A New Generalization of the Linear Exponential Distribution. - Yuzhu Tian; Maozai Tian; Qianqian Zhu (Commun. Stat. Simul. Comput., 2014)

Estimation for mixed exponential distributions under type-II progressively hybrid censored samples. - Yuzhu Tian; Qianqian Zhu; Maozai Tian (Comput. Stat. Data Anal., 2015)

Bayesian joint quantile regression for mixed effects models with censoring and errors in covariates. - Yuzhu Tian; Er'qian Li; Maozai Tian (Comput. Stat., 2016)

Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies. - Yuzhu Tian; Man-Lai Tang; Maozai Tian (Comput. Stat., 2018)

Quantile regression for linear models with autoregressive errors using EM algorithm. - Yuzhu Tian; Man-Lai Tang; Yanchao Zang; Maozai Tian (Comput. Stat., 2018)

Bayesian LASSO-Regularized quantile regression for linear regression models with autoregressive errors. - Yuzhu Tian; Silian Shen; Ge Lu; Man-Lai Tang; Maozai Tian (Commun. Stat. Simul. Comput., 2019)

Bayesian bridge-randomized penalized quantile regression. - Yuzhu Tian; Xinyuan Song (Comput. Stat. Data Anal., 2020)

Likelihood-based quantile mixed effects models for longitudinal data with multiple features via MCEM algorithm. - Yuzhu Tian; Liyong Wang; Man-Lai Tang; Maozai Tian (Commun. Stat. Simul. Comput., 2020)

Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data. - Aijun Yang; Yuzhu Tian; Yunxian Li; Jinguan Lin (Comput. Stat., 2020)

Weighted composite quantile regression for longitudinal mixed effects models with application to AIDS studies. - Yuzhu Tian; Liyong Wang; Man-Lai Tang; Maozai Tian (Commun. Stat. Simul. Comput., 2021)

Bayesian bridge-randomized penalized quantile regression for ordinal longitudinal data, with application to firm's bond ratings. - Yuzhu Tian; Man-Lai Tang; Wai-Sum Chan 001; Maozai Tian (Comput. Stat., 2021)

Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. - Yuzhu Tian; Man-Lai Tang; Maozai Tian (Comput. Stat., 2021)

Correction to: Bayesian joint inference for multivariate quantile regression model with L1/2 penalty. - Yuzhu Tian; Man-Lai Tang; Maozai Tian (Comput. Stat., 2021)

Adaptive multilabel image segmentation model with prior constraints based on geometric structure characteristics. - Yuzhu Tian; Liping Pang 001; Yanbo Pang; Hongwei Zhang (J. Electronic Imaging, 2022)

A class of three-term derivative-free methods for large-scale nonlinear monotone system of equations and applications to image restoration problems. - Xiaoliang Wang; Yuzhu Tian; Liping Pang 001 (J. Appl. Math. Comput., 2023)

A literature review of fault diagnosis based on ensemble learning. - Zhibao Mian; Xiaofei Deng; Xiaohui Dong; Yuzhu Tian; Tianya Cao; Kairan Chen; Tareq Aljaber (Eng. Appl. Artif. Intell., 2024)

Multivariate contaminated normal mixture regression modeling of longitudinal data based on joint mean-covariance model. - Niu Xiaoyu; Yuzhu Tian; Man-Lai Tang; Maozai Tian (Stat. Anal. Data Min., 2024)

Bayesian relative composite quantile regression approach of ordinal latent regression model with L1/2 regularization. - Yuzhu Tian; Chun-Ho Wu; Ling-Nan Tai; Zhibao Mian; Maozai Tian (Stat. Anal. Data Min., 2024)

Variable multi-scale attention fusion network and adaptive correcting gradient optimization for multi-task learning. - Naihua Ji; Yongqiang Sun; Fanyun Meng; Li-Ping Pang 001; Yuzhu Tian (Pattern Recognit., 2025)

Analysis of the influencing factors of the trade potential between countries along the 'Belt and Road' and China: a study based on spatial panel data model. - Fangling Zhang; Yuzhu Tian; Lianne K. W. Lam; Zhibao Mian (Enterp. Inf. Syst., 2025)

The Classification Algorithm Based on Functional Logistic Regression Model With Spatial Effects and Its Application in Air Quality Analysis. - Xinran Cai; Yuzhu Tian; Yue Wang; Maozai Tian (Stat. Anal. Data Min., 2025)

Sequence Outlier Detection and Application of Gated Recurrent Unit Autoencoder Gaussian Mixture Model Based on Various Loss Optimization. - Ting Xu; Yuzhu Tian; Chun-Ho Wu; Zhibao Mian (Stat. Anal. Data Min., 2025)

Multiple-response logistic regression modeling with application to an analysis of cirrhosis liver disease data. - Yang Jing-Nan; Yuzhu Tian; Wang Yue; Wu Chun-Ho (Comput. Stat., 2025)