Chao Jiang
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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
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
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
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
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
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
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
Deep Bayesian Slow Feature Extraction with Application to Industrial Inferential Modeling
C Jiang, Y Lu, W Zhong, B Huang, W Song, D Tan, F Qian
IEEE Transactions on Industrial Informatics, 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
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
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