Shiwen Xie
Orcid: 0000-0002-5485-4234
According to our database1,
Shiwen Xie
authored at least 21 papers
between 2018 and 2024.
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Bibliography
2024
Label Propagation With Contrastive Anchors for Deep Semi-Supervised Superheat Degree Identification in Aluminum Electrolysis Process.
IEEE Trans Autom. Sci. Eng., April, 2024
TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes.
IEEE Trans. Ind. Informatics, March, 2024
A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling.
IEEE Trans. Ind. Informatics, March, 2024
Adversarial Training-Based Deep Layer-Wise Probabilistic Network for Enhancing Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024
Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring.
Eng. Appl. Artif. Intell., January, 2024
Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process.
IEEE Trans. Instrum. Meas., 2024
2023
IEEE Trans. Circuits Syst. Video Technol., April, 2023
Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process.
IEEE Trans. Ind. Informatics, March, 2023
Cogn. Comput., March, 2023
Unsupervised Monocular Depth Estimation with Semantic Reconstruction Using Dual-Discriminator Generative Adversarial.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions.
Appl. Intell., 2022
2021
Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment.
IEEE Trans. Ind. Informatics, 2021
2020
Optimal Setting and Control for Iron Removal Process Based on Adaptive Neural Network Soft-Sensor.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Neurofuzzy-Based Plant-Wide Hierarchical Coordinating Optimization and Control: An Application to Zinc Hydrometallurgy Plant.
IEEE Trans. Ind. Electron., 2020
Fuzzy association rule-based set-point adaptive optimization and control for the flotation process.
Neural Comput. Appl., 2020
2019
Generalized Predictive Control for Industrial Processes Based on Neuron Adaptive Splitting and Merging RBF Neural Network.
IEEE Trans. Ind. Electron., 2019
On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.
Neural Networks, 2019
Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant.
J. Frankl. Inst., 2019
Hybrid fuzzy control for the goethite process in zinc production plant combining type-1 and type-2 fuzzy logics.
Neurocomputing, 2019
2018
A Hybrid Control Strategy for Real-Time Control of the Iron Removal Process of the Zinc Hydrometallurgy Plants.
IEEE Trans. Ind. Informatics, 2018
Coordinated Optimization for the Descent Gradient of Technical Index in the Iron Removal Process.
IEEE Trans. Cybern., 2018