Jinlin Zhu

Orcid: 0000-0002-4296-5914

According to our database1, Jinlin Zhu authored at least 26 papers between 2015 and 2024.

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

Timeline

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Links

On csauthors.net:

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

Target-Aspect Domain Continual SAR-ATR Based on Task Hard Attention Mechanism.
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
Dual-Domain-Based Adversarial Defense With Conditional VAE and Bayesian Network.
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

AI-GAN: Attack-Inspired Generation of Adversarial Examples.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
Distributed task allocation method based on self-awareness of autonomous robots.
J. Supercomput., 2020

Dynamic Bayesian network for robust latent variable modeling and fault classification.
Eng. Appl. Artif. Intell., 2020

AI-GAN: Attack-Inspired Generation of Adversarial Examples.
CoRR, 2020

Real-time Traffic Incident Detection Using an Autoencoder Model.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Batch Process Modeling and Monitoring With Local Outlier Factor.
IEEE Trans. Control. Syst. Technol., 2019

2018
Similar Batch Process Monitoring With Orthogonal Subspace Alignment.
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


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