Shuangzhe Liu

33 papers Journal 27Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
A shape-enhanced outlier-detection framework for regression tasks.
Knowl. Based Syst.
Zhilin Xiong, Aihua Han, Tiefeng Ma, Shuangzhe Liu
2026 J jnl
GRAB: A Systematic Real-World Grasping Benchmark for Robotic Food Waste Sorting.
CoRR
Moniesha Thilakarathna, Xing Wang, Min Wang, David Hinwood, Shuangzhe Liu, Damith Herath
2026 J jnl
Tri-SEM: A shape-aware robust regression method via chain-like segmentation and residual analysis.
Pattern Recognit.
Zhilin Xiong, Aihua Han, Tiefeng Ma, Shuangzhe Liu
2025 J jnl
A saddle point-guided clustering algorithm for data with complex structure.
Knowl. Based Syst.
Xiaogang Huang, Jun Jin, Dan Zhuang, Tiefeng Ma, Michel van de Velden, Shuangzhe Liu
2025 J jnl
Bayesian Inference: Theory, Methods, and Computations: by Silvelyn Zwanzig and Rauf Ahmad, Boca Raton: Chapman & Hall, 2024, 346 pp., 79 B/W Illustrations Published, ISBN 9781032118093 (pbk), ISBN 9781032109497 (hbk).
Technometrics
Kazuhiko Kakamu, Shuangzhe Liu
2025 J jnl
Bayesian diagnostics in a partially linear model with first-order autoregressive skew-normal errors.
Comput. Stat.
Yonghui Liu, Jiawei Lu, Gilberto A. Paula, Shuangzhe Liu
2025 J jnl
Handling unobserved confounding for continuous sequential data via extracting key sub-intervals.
Inf. Sci.
Jianmei Ren, Tiefeng Ma, Shuangzhe Liu
2025 J jnl
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).
Technometrics
Shuangzhe Liu, Yonghui Liu
2024 J jnl
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).
Technometrics
Shuangzhe Liu
2024 J jnl
Diagnostic analytics for a GARCH model under skew-normal distributions.
Commun. Stat. Simul. Comput.
Yonghui Liu, Jing Wang, Yao Zhao, Conan Liu, Shuangzhe Liu
2024 J jnl
PaVa: A novel path-based valley-seeking clustering algorithm.
Inf. Sci.
Lin Ma, Conan Liu, Tiefeng Ma, Shuangzhe Liu
2023 J jnl
A shape-based multiple segmentation algorithm for change-point detection.
Comput. Ind. Eng.
Dan Zhuang, Qijing Yan, Shuangzhe Liu, Tiefeng Ma, Youbo Liu
2023 J jnl
Causal Responsibility Division of Chronological Continuous Treatment Based on Change-Point Detection.
Entropy
Hang Liu, Tiefeng Ma, Conan Liu, Shuangzhe Liu
2023 J jnl
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).
Technometrics
Shuangzhe Liu
2023 J jnl
Distributed Penalized Modal Regression for Massive Data.
J. Syst. Sci. Complex.
Jun Jin, Shuangzhe Liu, Tiefeng Ma
2023 J jnl
GriT-DBSCAN: A spatial clustering algorithm for very large databases.
Pattern Recognit.
Xiaogang Huang, Tiefeng Ma, Conan Liu, Shuangzhe Liu
2023 J jnl
PaVa: a novel Path-based Valley-seeking clustering algorithm.
CoRR
Lin Ma, Conan Liu, Tiefeng Ma, Shuangzhe Liu
2022 J jnl
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data.
Expert Syst. Appl.
Lin Ma, Yi Zhang, Víctor Leiva, Shuangzhe Liu, Tiefeng Ma
2022 J jnl
GriT-DBSCAN: A Spatial Clustering Algorithm for Very Large Databases.
CoRR
Xiaogang Huang, Tiefeng Ma, Conan Liu, Shuangzhe Liu
2022 J jnl
Matrix differential calculus with applications in the multivariate linear model and its diagnostics.
J. Multivar. Anal.
Shuangzhe Liu, Víctor Leiva, Dan Zhuang, Tiefeng Ma, Jorge I. Figueroa-Zúñiga
2021 J jnl
Change-point detection based on adjusted shape context cost method.
Inf. Sci.
Qijing Yan, Youbo Liu, Shuangzhe Liu, Tiefeng Ma
2021 J jnl
Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates.
Comput. Stat.
Jun Jin, Tiefeng Ma, Jiajia Dai, Shuangzhe Liu
2020 J jnl
A shape-based cutting and clustering algorithm for multiple change-point detection.
J. Comput. Appl. Math.
Dan Zhuang, Youbo Liu, Shuangzhe Liu, Tiefeng Ma, Seng-Huat Ong
2019 — conf
EEG-based Person Authentication System in Different Brain States.
NER
Nga Tran, Dat Tran, Shuangzhe Liu, Wanli Ma, Tien Pham
2019 — conf
Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication.
CISIS-ICEUTE
Nga Tran, Dat Tran, Shuangzhe Liu, Linh Trinh, Tien Pham
2019 — conf
On the Stability of a Pass-Thought Security System in Different Brain States.
ICONIP (1)
Nga Tran, Dat Tran, Shuangzhe Liu, Tien Pham
2016 J jnl
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions.
Stat. Methods Appl.
Shuangzhe Liu, Víctor Leiva, Tie-Feng Ma, Alan H. Welsh
2014 J jnl
Spatial system estimators for panel models: A sensitivity and simulation study.
Math. Comput. Simul.
Shuangzhe Liu, Tie-Feng Ma, Wolfgang Polasek
2013 J jnl
Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia.
Comput. Stat. Data Anal.
Azizur Rahman, Ann Harding, Robert Tanton, Shuangzhe Liu
2011 — ch.
Regression Diagnostics.
International Encyclopedia of Statistical Science
Shuangzhe Liu, Alan H. Welsh
2009 J jnl
On pseudo maximum likelihood estimation for multivariate time series models with conditional heteroskedasticity.
Math. Comput. Simul.
Shuangzhe Liu, Heinz Neudecker
2007 — conf
The Application of Multi-sensors Fusion in Vehicle Transmission System Fault Diagnosis.
ICNC (2)
Xiaobing Wu, Shuangzhe Liu, Dharmendra Sharma
2005 — ch.
ANOVA Models with Generalized Inverses.
Data Analysis and Decision Support
Wolfgang Polasek, Shuangzhe Liu