Shuangzhe Liu

Orcid: 0000-0002-4858-2789

According to our database1, Shuangzhe Liu authored at least 22 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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).
Technometrics, 2024

2023
GriT-DBSCAN: A spatial clustering algorithm for very large databases.
Pattern Recognit., October, 2023

Causal Responsibility Division of Chronological Continuous Treatment Based on Change-Point Detection.
Entropy, August, 2023

Distributed Penalized Modal Regression for Massive Data.
J. Syst. Sci. Complex., April, 2023

A shape-based multiple segmentation algorithm for change-point detection.
Comput. Ind. Eng., February, 2023

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, January, 2023

PaVa: a novel Path-based Valley-seeking clustering algorithm.
CoRR, 2023

2022
Matrix differential calculus with applications in the multivariate linear model and its diagnostics.
J. Multivar. Anal., 2022

A new clustering algorithm based on a radar scanning strategy with applications to machine learning data.
Expert Syst. Appl., 2022

2021
Change-point detection based on adjusted shape context cost method.
Inf. Sci., 2021

Penalized weighted composite quantile regression for partially linear varying coefficient models with missing covariates.
Comput. Stat., 2021

2020
A shape-based cutting and clustering algorithm for multiple change-point detection.
J. Comput. Appl. Math., 2020

2019
EEG-based Person Authentication System in Different Brain States.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

On the Stability of a Pass-Thought Security System in Different Brain States.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Improving SVM Classification on Imbalanced Datasets for EEG-Based Person Authentication.
Proceedings of the International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), 2019

2016
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions.
Stat. Methods Appl., 2016

2014
Spatial system estimators for panel models: A sensitivity and simulation study.
Math. Comput. Simul., 2014

2013
Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia.
Comput. Stat. Data Anal., 2013

2011
Regression Diagnostics.
Proceedings of the International Encyclopedia of Statistical Science, 2011

2009
On pseudo maximum likelihood estimation for multivariate time series models with conditional heteroskedasticity.
Math. Comput. Simul., 2009

2007
The Application of Multi-sensors Fusion in Vehicle Transmission System Fault Diagnosis.
Proceedings of the Third International Conference on Natural Computation, 2007

2005
ANOVA Models with Generalized Inverses.
Proceedings of the Data Analysis and Decision Support, 2005


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