Bingbing Shen
Orcid: 0000-0002-8832-9147
According to our database1,
Bingbing Shen
authored at least 12 papers
between 2013 and 2023.
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Bibliography
2023
Probabilistic Fusion Model for Industrial Soft Sensing Based on Quality-Relevant Feature Clustering.
IEEE Trans. Ind. Informatics, August, 2023
Semi-Supervised Deep Dynamic Probabilistic Latent Variable Model for Multimode Process Soft Sensor Application.
IEEE Trans. Ind. Informatics, April, 2023
Input Factor Selection Based on Interpretable Neural Network for Industrial Virtual Sensing Application.
IEEE Trans. Instrum. Meas., 2023
Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications.
IEEE Trans. Cybern., 2023
2021
Virtual Sensing f-CaO Content of Cement Clinker Based on Incremental Deep Dynamic Features Extracting and Transferring Model.
IEEE Trans. Instrum. Meas., 2021
Weighted Nonlinear Dynamic System for Deep Extraction of Nonlinear Dynamic Latent Variables and Industrial Application.
IEEE Trans. Ind. Informatics, 2021
2020
Supervised Nonlinear Dynamic System for Soft Sensor Application Aided by Variational Auto-Encoder.
IEEE Trans. Instrum. Meas., 2020
Research on Strategy-Based Anti-jamming Intelligent Decision Engine for Adaptive Burst Communication.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020
2017
Gradient-Based Recursive Identification Methods for Input Nonlinear Equation Error Closed-Loop Systems.
Circuits Syst. Signal Process., 2017
Multi-innovation gradient parameter estimation algorithms for closed-loop Hammerstein nonlinear systems.
Proceedings of the 2017 American Control Conference, 2017
2013
Study of the techniques and development strategy for a concentrated type distribution automation.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2013