| Toward robust fault identification of complex industrial processes using stacked sparse-denoising autoencoder with softmax classifier J Liu, L Xu, Y Xie, T Ma, J Wang, Z Tang, W Gui, H Yin, H Jahanshahi IEEE Transactions on Cybernetics 53 (1), 428-442, 2021 | 45 | 2021 |
| MWRSPCA: Online fault monitoring based on moving window recursive sparse principal component analysis J Liu, J Wang, X Liu, T Ma, Z Tang Journal of Intelligent Manufacturing, 1-17, 2022 | 31 | 2022 |
| Optimization of aluminum fluoride addition in aluminum electrolysis process based on pruned sparse fuzzy neural network J Wang, Y Xie, S Xie, X Chen ISA transactions 133, 285-301, 2023 | 16 | 2023 |
| Cooperative particle swarm optimizer with depth first search strategy for global optimization of multimodal functions J Wang, Y Xie, S Xie, X Chen Applied Intelligence, 1-20, 2022 | 16 | 2022 |
| Label propagation with contrastive anchors for deep semi-supervised superheat degree identification in aluminum electrolysis process J Wang, S Xie, Y Xie, X Chen IEEE Transactions on Automation Science and Engineering 21 (2), 1284-1296, 2023 | 9 | 2023 |
| A general knowledge-guided framework based on deep probabilistic network for enhancing industrial process modeling J Wang, S Xie, Y Xie, X Chen IEEE Transactions on Industrial Informatics, 2023 | 8 | 2023 |
| Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure J Wang, S Xie, Y Xie, X Chen Journal of Intelligent Manufacturing, 1-16, 2023 | 5 | 2023 |
| Adversarial training-based deep layer-wise probabilistic network for enhancing soft sensor modeling of industrial processes Y Xie, J Wang, S Xie, X Chen IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2023 | 5 | 2023 |
| Unsupervised heat balance indicator construction based on variational autoencoder and its application to aluminum electrolysis process monitoring J Wang, S Xie, Y Xie, X Chen Engineering Applications of Artificial Intelligence 127, 107237, 2024 | 2 | 2024 |
| Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process J Wang, Y Xie, S Xie, X Chen IEEE Transactions on Instrumentation and Measurement, 2024 | 1 | 2024 |
| Development of data-knowledge-driven predictive model and multi-objective optimization for intelligent optimal control of aluminum electrolysis process J Wang, Y Xie, S Xie, X Chen Engineering Applications of Artificial Intelligence 134, 108664, 2024 | | 2024 |
Shiwen XieSchool of Automation, Central South University在 csu.edu.cn 的电子邮件经过验证
Shiwen XieSchool of Automation, Central South University在 csu.edu.cn 的电子邮件经过验证