Qinqin Zhu

Orcid: 0000-0001-9258-0839

According to our database1, Qinqin Zhu authored at least 11 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
An Efficient Dynamic Auto-Regressive CCA for Time Series Imputation With Irregular Sampling.
IEEE Trans Autom. Sci. Eng., January, 2024

2023
Dynamic Probabilistic Latent Variable Model with Exogenous Variables for Dynamic Anomaly Detection.
Proceedings of the American Control Conference, 2023

2022
Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring.
IEEE Trans. Control. Syst. Technol., 2022

Fault detection and diagnosis with a novel source-aware autoencoder and deep residual neural network.
Neurocomputing, 2022

Improved manifold sparse slow feature analysis for process monitoring.
Comput. Chem. Eng., 2022

2021
A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills.
IEEE Access, 2021

Comprehensive Monitoring with Incremental Slow Feature Analysis.
Proceedings of the 2021 American Control Conference, 2021

2020
Latent variable regression for supervised modeling and monitoring.
IEEE CAA J. Autom. Sinica, 2020

Dynamic latent variable regression for inferential sensor modeling and monitoring.
Comput. Chem. Eng., 2020

Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.
Annu. Rev. Control., 2020

2017
Quality-relevant fault detection of nonlinear processes based on kernel concurrent canonical correlation analysis.
Proceedings of the 2017 American Control Conference, 2017


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