Bei Sun
Orcid: 0000-0003-3503-801X
According to our database1,
Bei Sun
authored at least 41 papers
between 2014 and 2024.
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Bibliography
2024
A Spatial-Temporal Variational Graph Attention Autoencoder Using Interactive Information for Fault Detection in Complex Industrial Processes.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Metric Learning-Based Fault Diagnosis and Anomaly Detection for Industrial Data With Intraclass Variance.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Knowledge-Data-Based Synchronization States Analysis for Process Monitoring and Its Application to Hydrometallurgical Zinc Purification Process.
IEEE Trans. Ind. Informatics, January, 2024
Adv. Eng. Informatics, 2024
2023
A constrained multi-objective deep reinforcement learning approach for temperature field optimization of zinc oxide rotary volatile kiln.
Adv. Eng. Informatics, October, 2023
A multimode structured prediction model based on dynamic attribution graph attention network for complex industrial processes.
Inf. Sci., September, 2023
Nonlinear MPC based on elastic autoregressive fuzzy neural network with roasting process application.
Expert Syst. Appl., August, 2023
Adaptive Multimode Process Monitoring Based on Mode-Matching and Similarity-Preserving Dictionary Learning.
IEEE Trans. Cybern., June, 2023
A New Ion Concentration Detection Method Based on Spectral Matching and Fusion for Zinc Leaching Liquid.
IEEE Trans. Instrum. Meas., 2023
A Spatial-Temporal Structural Estimation Model Based on GATE-PCGRU for Multirate Industrial Process.
IEEE Trans. Instrum. Meas., 2023
Abnormal Operating Condition Identification of Industrial Processes Based on Deep Learning With Global-Local Slow Feature Analysis.
IEEE Trans. Instrum. Meas., 2023
RISTrack: Robust Infrared Ship Tracking With Modified Appearance Feature Extraction and Matching Strategy.
IEEE Trans. Geosci. Remote. Sens., 2023
MSAFFNet: A Multiscale Label-Supervised Attention Feature Fusion Network for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023
A cascaded modeling approach for comprehensive reaction state perception of a hydrometallurgical reactor.
Eng. Appl. Artif. Intell., 2023
An Ontology for Industrial Intelligent Model Library and Its Distributed Computing Application.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
A Multiple Light Scenes Suited Turbidity Analysis Method Based on Image Recognition and Information Fusion.
IEEE Trans. Instrum. Meas., 2022
A Mechanism-Based Semisupervised Online pH Estimation Approach for a Leaching Process.
IEEE Trans. Instrum. Meas., 2022
Industrial Process Modeling and Monitoring Based on Jointly Specific and Shared Dictionary Learning.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
Remote. Sens., 2022
A multimode mechanism-guided product quality estimation approach for multi-rate industrial processes.
Inf. Sci., 2022
2021
A New Model Transfer Strategy Among Spectrometers Based on SVR Parameter Calibrating.
IEEE Trans. Instrum. Meas., 2021
An Efficient Computational Cost Reduction Strategy for the Population-Based Intelligent Optimization of Nonlinear Dynamical Systems.
IEEE Trans. Ind. Informatics, 2021
Remote. Sens., 2021
Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network.
Inf. Sci., 2021
Estimation of Feeding Composition of Industrial Process Based on Data Reconciliation.
Entropy, 2021
2020
Optimizing zinc electrowinning processes with current switching via Deep Deterministic Policy Gradient learning.
Neurocomputing, 2020
Effects of Coinfection on the Dynamics of Two Pathogens in a Tick-Host Infection Model.
Complex., 2020
A chance-constrained programming approach for a zinc hydrometallurgy blending problem under uncertainty.
Comput. Chem. Eng., 2020
Moving Horizon Estimation of Sulfur Concentrate Grade Based on Kinetic Models Under Multiple Working Conditions.
IEEE Access, 2020
2019
Time Difference of Arrival (TDoA) Localization Combining Weighted Least Squares and Firefly Algorithm.
Sensors, 2019
On-Line Froth Depth Estimation for Sulphur Flotation Process With Multiple Working Conditions.
IEEE Access, 2019
2018
Distributed defect recognition on steel surfaces using an improved random forest algorithm with optimal multi-feature-set fusion.
Multim. Tools Appl., 2018
Modeling, optimization, and control of solution purification process in zinc hydrometallurgy.
IEEE CAA J. Autom. Sinica, 2018
Sulfur Flotation Performance Recognition Based on Hierarchical Classification of Local Dynamic and Static Froth Features.
IEEE Access, 2018
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016
2014
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014