| Online quality prediction of industrial terephthalic acid hydropurification process using modified regularized slow-feature analysis W Zhong, C Jiang, X Peng, Z Li, F Qian Industrial & Engineering Chemistry Research 57 (29), 9604-9614, 2018 | 34 | 2018 |
| Real-time semisupervised predictive modeling strategy for industrial continuous catalytic reforming process with incomplete data using slow feature analysis C Jiang, W Zhong, Z Li, X Peng, M Yang Industrial & Engineering Chemistry Research 58 (37), 17406-17423, 2019 | 26 | 2019 |
| Concurrent monitoring strategy for static and dynamic deviations based on selective ensemble learning using slow feature analysis H Hong, C Jiang, X Peng, W Zhong Industrial & Engineering Chemistry Research 59 (10), 4620-4635, 2020 | 25 | 2020 |
| Key performance index estimation based on ensemble locally weighted partial least squares and its application on industrial nonlinear processes X Chen, W Zhong, C Jiang, Z Li, X Peng, H Cheng Chemometrics and Intelligent Laboratory Systems 203, 104031, 2020 | 17 | 2020 |
| High-order fuzzy clustering algorithm based on multikernel mean shift D Tan, W Zhong, C Jiang, X Peng, W He Neurocomputing 385, 63-79, 2020 | 17 | 2020 |
| A circular target feature detection framework based on DCNN for industrial applications D Tan, L Chen, C Jiang, W Zhong, W Du, F Qian, V Mahalec IEEE Transactions on Industrial Informatics 17 (5), 3303-3313, 2020 | 16 | 2020 |
| Variable-scale probabilistic just-in-time learning for soft sensor development with missing data H Huang, X Peng, C Jiang, Z Li, W Zhong Industrial & Engineering Chemistry Research 59 (11), 5010-5021, 2020 | 15 | 2020 |
| Deep Bayesian slow feature extraction with application to industrial inferential modeling C Jiang, Y Lu, W Zhong, B Huang, D Tan, W Song, F Qian IEEE Transactions on Industrial Informatics 19 (1), 40-51, 2021 | 11 | 2021 |
| Quality-relevant feature extraction method based on teacher-student uncertainty autoencoder and its application to soft sensors Y Lu, C Jiang, D Yang, X Peng, W Zhong Information Sciences 592, 320-339, 2022 | 8 | 2022 |
| The probabilistic discriminative time-series model with latent variables and its application to industrial chemical process modeling Y Lu, X Peng, D Yang, C Jiang, W Zhong Chemical Engineering Journal 423, 130298, 2021 | 6 | 2021 |
| APSF-Net: A deep adversarial slow feature extraction network for industrial inferential modeling C Yang, C Jiang, G Yu, J Li, C Bo Control Engineering Practice 147, 105934, 2024 | | 2024 |
| Hybrid modeling for carbon monoxide gas-phase catalytic coupling to synthesize dimethyl oxalate process S Gao, C Bo, C Jiang, Q Zhang, G Yang, J Chu Chinese Journal of Chemical Engineering, 2024 | | 2024 |
| A deep multi-branch attention model for histopathological breast cancer image classification R Ding, X Zhou, D Tan, Y Su, C Jiang, G Yu, C Zheng Complex & Intelligent Systems, 1-17, 2024 | | 2024 |
| Transferable Deep Slow Feature Network With Target Feature Attention for Few-Shot Time-Series Prediction D Yang, X Peng, C Jiang, X Wu, SX Ding, W Zhong IEEE Transactions on Industrial Informatics, 2024 | | 2024 |
| Hybrid-modeling for PTFE polymerization reaction with deep learning-based reaction rate model C Dong, C Jiang, S Gao, X Wang, C Bo, J Li, X Jin International Journal of Chemical Reactor Engineering 21 (11), 1389-1401, 2023 | | 2023 |
Weimin ZhongEast China University of Science and TechnologyDirección de correo verificada de ecust.edu.cn
