ANOVA Models with Generalized Inverses. - Wolfgang Polasek; Shuangzhe Liu (Data Analysis and Decision Support, 2005)

The Application of Multi-sensors Fusion in Vehicle Transmission System Fault Diagnosis. - Xiaobing Wu; Shuangzhe Liu; Dharmendra Sharma 001 (ICNC (2), 2007)

On pseudo maximum likelihood estimation for multivariate time series models with conditional heteroskedasticity. - Shuangzhe Liu; Heinz Neudecker (Math. Comput. Simul., 2009)

Regression Diagnostics. - Shuangzhe Liu; Alan H. Welsh (International Encyclopedia of Statistical Science, 2011)

Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia. - Azizur Rahman; Ann Harding; Robert Tanton; Shuangzhe Liu (Comput. Stat. Data Anal., 2013)

Spatial system estimators for panel models: A sensitivity and simulation study. - Shuangzhe Liu; Tie-Feng Ma; Wolfgang Polasek (Math. Comput. Simul., 2014)

Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions. - Shuangzhe Liu; Víctor Leiva; Tie-Feng Ma; Alan H. Welsh (Stat. Methods Appl., 2016)

Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication. - Nga Tran; Dat Tran 001; Shuangzhe Liu; Linh Trinh; Tien Pham (CISIS-ICEUTE, 2019)

On the Stability of a Pass-Thought Security System in Different Brain States. - Nga Tran; Dat Tran 001; Shuangzhe Liu; Tien Pham (ICONIP (1), 2019)

EEG-based Person Authentication System in Different Brain States. - Nga Tran; Dat Tran 001; Shuangzhe Liu; Wanli Ma; Tien Pham (NER, 2019)

A shape-based cutting and clustering algorithm for multiple change-point detection. - Dan Zhuang; Youbo Liu; Shuangzhe Liu; Tiefeng Ma; Seng-Huat Ong (J. Comput. Appl. Math., 2020)

Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates. - Jun Jin 003; Tiefeng Ma; Jiajia Dai; Shuangzhe Liu (Comput. Stat., 2021)

Change-point detection based on adjusted shape context cost method. - Qijing Yan; Youbo Liu; Shuangzhe Liu; Tiefeng Ma (Inf. Sci., 2021)

A new clustering algorithm based on a radar scanning strategy with applications to machine learning data. - Lin Ma; Yi Zhang 067; Víctor Leiva; Shuangzhe Liu; Tiefeng Ma (Expert Syst. Appl., 2022)

Matrix differential calculus with applications in the multivariate linear model and its diagnostics. - Shuangzhe Liu; Víctor Leiva; Dan Zhuang; Tiefeng Ma; Jorge I. Figueroa-Zúñiga (J. Multivar. Anal., 2022)

Directional Statistics for Innovative Applications: A Bicentennial Tribute to Florence Nightingale: by Ashis SenGupta and Barry C. Arnold, Singapore: Springer, 2022, XIX, 488 pp., with 49 b/w illustrations, 93 illustrations in color, ISBN 978-981-19-1043-2 (hbk). - Shuangzhe Liu (Technometrics, 2023)

A shape-based multiple segmentation algorithm for change-point detection. - Dan Zhuang; Qijing Yan; Shuangzhe Liu; Tiefeng Ma; Youbo Liu (Comput. Ind. Eng., 2023)

Distributed Penalized Modal Regression for Massive Data. - Jun Jin 003; Shuangzhe Liu; Tiefeng Ma (J. Syst. Sci. Complex., 2023)

Causal Responsibility Division of Chronological Continuous Treatment Based on Change-Point Detection. - Hang Liu; Tiefeng Ma; Conan Liu; Shuangzhe Liu (Entropy, 2023)

GriT-DBSCAN: A spatial clustering algorithm for very large databases. - Xiaogang Huang; Tiefeng Ma; Conan Liu; Shuangzhe Liu (Pattern Recognit., 2023)

PaVa: A novel path-based valley-seeking clustering algorithm. - Lin Ma; Conan Liu; Tiefeng Ma; Shuangzhe Liu (Inf. Sci., 2024)

Backseat Driver: The Role of Data in Great Car Safety Debates Backseat Driver: The Role of Data in Great Car Safety Debates Norma Faris Hubele, New York: Chapman and Hall/CRC, 2022, 200 pages 67 B/W illustrations, $88, hardcover, ISBN 9780367474072 (hbk); 9780367472306 (pbk); 9781003035343 (ebk): Norma Faris Hubele, New York: Chapman and Hall/CRC, 2022, 200 pages 67 B/W illustrations, $88, hardcover, ISBN 9780367474072 (hbk); 9780367472306 (pbk); 9781003035343 (ebk). - Shuangzhe Liu (Technometrics, 2024)

Diagnostic analytics for a GARCH model under skew-normal distributions. - Yonghui Liu; Jing Wang 128; Yao Zhao 001; Conan Liu; Shuangzhe Liu (Commun. Stat. Simul. Comput., 2024)

Handling unobserved confounding for continuous sequential data via extracting key sub-intervals. - Jianmei Ren; Tiefeng Ma; Shuangzhe Liu (Inf. Sci., 2025)

Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors. - Yonghui Liu; Jiawei Lu; Gilberto A. Paula; Shuangzhe Liu (Comput. Stat., 2025)

Skew-Normal Model Theories and Their Applications: Rendao Ye, Kun Luo, Wenyan Zhu, Yue Qi, Boca Raton, FL: CRC Press, 2024, 272, with 19 B/W illustrations, ISBN 9781032694696 (Hardcover). - Shuangzhe Liu; Yonghui Liu (Technometrics, 2025)