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Qinqin Zhu
ORCID
Publication Activity (10 Years)
Years Active: 2017-2024
Publications (10 Years): 11
Top Topics
Random Variables
Feature Analysis
Real Valued
Fault Detection
Top Venues
ACC
Comput. Chem. Eng.
Annu. Rev. Control.
IEEE Trans. Control. Syst. Technol.
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Publications
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Bo Xu
,
Qinqin Zhu
An Efficient Dynamic Auto-Regressive CCA for Time Series Imputation With Irregular Sampling.
IEEE Trans Autom. Sci. Eng.
21 (1) (2024)
Bo Xu
,
Qinqin Zhu
Dynamic Probabilistic Latent Variable Model with Exogenous Variables for Dynamic Anomaly Detection.
ACC
(2023)
Hussein Saafan
,
Qinqin Zhu
Improved manifold sparse slow feature analysis for process monitoring.
Comput. Chem. Eng.
164 (2022)
Nima Amini
,
Qinqin Zhu
Fault detection and diagnosis with a novel source-aware autoencoder and deep residual neural network.
Neurocomputing
488 (2022)
Wei Fan
,
Qinqin Zhu
,
Shaojun Ren
,
Liang Zhang
,
Fengqi Si
Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring.
IEEE Trans. Control. Syst. Technol.
30 (6) (2022)
Wei Fan
,
Shaojun Ren
,
Qinqin Zhu
,
Zhijun Jia
,
Delong Bai
,
Fengqi Si
A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills.
IEEE Access
9 (2021)
Hussein Saafan
,
Qinqin Zhu
Comprehensive Monitoring with Incremental Slow Feature Analysis.
ACC
(2021)
Qinqin Zhu
Latent variable regression for supervised modeling and monitoring.
IEEE CAA J. Autom. Sinica
7 (3) (2020)
Qinqin Zhu
,
Si-Zhao Joe Qin
,
Yining Dong
Dynamic latent variable regression for inferential sensor modeling and monitoring.
Comput. Chem. Eng.
137 (2020)
Si-Zhao Joe Qin
,
Yining Dong
,
Qinqin Zhu
,
Jin Wang
,
Qiang Liu
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.
Annu. Rev. Control.
50 (2020)
Qinqin Zhu
,
Qiang Liu
,
Si-Zhao Joe Qin
Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis.
ACC
(2017)