Bingbing Shen

Orcid: 0000-0002-8832-9147

According to our database1, Bingbing Shen authored at least 12 papers between 2013 and 2023.

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

Timeline

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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

LFM Interference Cancellation Algorithm Based on MDPT-WC for Mark XIIA Mode 5.
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


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