Jinlin Zhu
Orcid: 0000-0002-4296-5914
According to our database1,
Jinlin Zhu
authored at least 26 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Collaborative Multiple Players to Address Label Sparsity in Quality Prediction of Batch Processes.
Sensors, April, 2024
Environment-Aware Adaptive Reinforcement Learning-Based Routing for Vehicular Ad Hoc Networks.
Sensors, 2024
IEEE Geosci. Remote. Sens. Lett., 2024
A gradual self distillation network with adaptive channel attention for facial expression recognition.
Appl. Soft Comput., 2024
2023
IMOVNN: incomplete multi-omics data integration variational neural networks for gut microbiome disease prediction and biomarker identification.
Briefings Bioinform., September, 2023
EnsDeepDP: An Ensemble Deep Learning Approach for Disease Prediction Through Metagenomics.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Process monitoring using recurrent Kalman variational auto-encoder for general complex dynamic processes.
Eng. Appl. Artif. Intell., 2023
2022
Fault Detection and Diagnosis in Industrial Processes with Variational Autoencoder: A Comprehensive Study.
Sensors, 2022
Toward Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-Based Method.
IEEE Internet Things J., 2022
2021
IEEE Trans. Ind. Informatics, 2021
Scalable Soft Sensor for Nonlinear Industrial Big Data via Bagging Stochastic Variational Gaussian Processes.
IEEE Trans. Ind. Electron., 2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method.
CoRR, 2021
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
2020
J. Supercomput., 2020
Dynamic Bayesian network for robust latent variable modeling and fault classification.
Eng. Appl. Artif. Intell., 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2019
IEEE Trans. Control. Syst. Technol., 2019
2018
IEEE Trans. Ind. Electron., 2018
Distributed Gaussian mixture model for monitoring plant-wide processes with multiple operating modes.
IFAC J. Syst. Control., 2018
Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data.
Annu. Rev. Control., 2018
Transfer of Qualitative and Quantitative Knowledge for Similar Batch Process Monitoring.
IEEE Access, 2018
2017
Distributed Parallel PCA for Modeling and Monitoring of Large-Scale Plant-Wide Processes With Big Data.
IEEE Trans. Ind. Informatics, 2017
Variational Bayesian Gaussian Mixture Regression for Soft Sensing Key Variables in Non-Gaussian Industrial Processes.
IEEE Trans. Control. Syst. Technol., 2017
Non-Gaussian Industrial Process Monitoring With Probabilistic Independent Component Analysis.
IEEE Trans Autom. Sci. Eng., 2017
2015
HMM-Driven Robust Probabilistic Principal Component Analyzer for Dynamic Process Fault Classification.
IEEE Trans. Ind. Electron., 2015