A Comparative Study of Joint Monitoring Schemes for APC Processes. - Wei Jiang; Lianjie Shu; Fugee Tsung (Qual. Reliab. Eng. Int., 2006)

A One-Sided EWMA Control Chart for Monitoring Process Means. - Lianjie Shu; Wei Jiang; Shujin Wu (Commun. Stat. Simul. Comput., 2007)

A modified counter-propagation network for process mean shift identification. - Boyu Wang 004; Feng Wan; Lianjie Shu (SMC, 2008)

Adaptive CUSUM procedures with Markovian mean estimation. - Lianjie Shu; Wei Jiang; Zhang Wu (Comput. Stat. Data Anal., 2008)

Statistical computation and analyses for attribute events. - Yafen Liu; Zhen He 001; Lianjie Shu; Zhang Wu (Comput. Stat. Data Anal., 2009)

Adaptive EWMA procedures for monitoring processes subject to linear drifts. - Yan Su; Lianjie Shu; Kwok-Leung Tsui (Comput. Stat. Data Anal., 2011)

Evaluation of exponentially weighted moving variance control chart subject to linear drifts. - Wenpo Huang; Lianjie Shu; Wei Jiang (Comput. Stat. Data Anal., 2012)

CUSUM Procedures for Health Care Surveillance. - Wei Jiang; Lianjie Shu; Honghao Zhao; Kwok-Leung Tsui (Qual. Reliab. Eng. Int., 2013)

Healthcare Intelligence: Turning Data into Knowledge. - Hui Yang 003; O. Erhun Kundakcioglu; Jing Li 016; Teresa Wu; Joseph Ross Mitchell; Amy K. Hara; William Pavlicek; Leland S. Hu; Alvin C. Silva; Christine M. Zwart; Sait Tunç; Oguzhan Alagöz; et al. (IEEE Intell. Syst., 2014)

An adaptive minimum spanning tree test for detecting irregularly-shaped spatial clusters. - Ruoyu Zhou; Lianjie Shu; Yan Su (Comput. Stat. Data Anal., 2015)

A Comparison of Likelihood-Based Spatiotemporal Monitoring Methods Under Non-Homogenous Population Size. - Sung Won Han; Wei Jiang; Lianjie Shu; Kwok-Leung Tsui (Commun. Stat. Simul. Comput., 2015)

Monitoring multivariate process variability via eigenvalues. - Jinyu Fan; Lianjie Shu; Honghao Zhao; Hangfai Yeung (Comput. Ind. Eng., 2017)

Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis. - Aijun Yang; Xuejun Jiang; Lianjie Shu; Jinguan Lin (Comput. Stat., 2017)

A new type of change-detection scheme based on the window-limited weighted likelihood ratios. - Fangyi He; Tiantian Mao; Taizhong Hu; Lianjie Shu (Expert Syst. Appl., 2018)

A Sparse Leading-Eigenvalue-Driven Control Chart for Phase I Analysis of High-Dimensional Covariance Matrices. - Jinyu Fan; Lianjie Shu (IEEM, 2019)

Folded normal regression models with applications in biomedicine. - Xuanyu Liu; Guo-Liang Tian; Yu Fei; Lianjie Shu; Qiang Zhao (J. Comput. Appl. Math., 2020)

A Bayesian approach to diagnosing covariance matrix shifts. - Binhui Wang; Feng Xu; Lianjie Shu (Qual. Reliab. Eng. Int., 2020)

A fault diagnosis method for wind turbines with limited labeled data based on balanced joint adaptive network. - Guangyao Zhang; Yanting Li; Wenbo Jiang; Lianjie Shu (Neurocomputing, 2022)

A generalized exponentially weighted moving average control chart for monitoring autocorrelated vectors. - Binhui Wang; Zhifeng He; Lianjie Shu (Commun. Stat. Simul. Comput., 2023)

Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection. - Feng Xu; Lianjie Shu; Yanting Li; Binhui Wang (Technometrics, 2023)