| Quality-Driven Regularization for Deep Learning Networks and Its Application to Industrial Soft Sensors C Ou, H Zhu, YAW Shardt, L Ye, X Yuan, Y Wang, C Yang IEEE Transactions on Neural Networks and Learning Systems, 2022 | 93 | 2022 |
| Approximating necessary conditions of optimality as controlled variables L Ye, Y Cao, Y Li, Z Song Industrial & Engineering Chemistry Research 52 (2), 798-808, 2013 | 88 | 2013 |
| Quality variable prediction for nonlinear dynamic industrial processes based on temporal convolutional networks X Yuan, S Qi, Y Wang, K Wang, C Yang, L Ye IEEE Sensors Journal 21 (18), 20493-20503, 2021 | 71 | 2021 |
| Nonlinear feature extraction for soft sensor modeling based on weighted probabilistic PCA X Yuan, L Ye, L Bao, Z Ge, Z Song Chemometrics and Intelligent Laboratory Systems 147, 167-175, 2015 | 70 | 2015 |
| Global approximation of self-optimizing controlled variables with average loss minimization L Ye, Y Cao, X Yuan Industrial & Engineering Chemistry Research 54 (48), 12040-12053, 2015 | 57 | 2015 |
| Attention-Based Interval Aided Networks for Data Modeling of Heterogeneous Sampling Sequences With Missing Values in Process Industry X Yuan, N Xu, L Ye, K Wang, F Shen, Y Wang, C Yang, W Gui IEEE Transactions on Industrial Informatics, 2023 | 50 | 2023 |
| Variable Correlation Analysis-based Convolutional Neural Network for Far Topological Feature Extraction and Industrial Predictive Modeling X Yuan, Y Wang, C Wang, L Ye, K Wang, Y Wang, C Yang, W Gui, F Shen IEEE Transactions on Instrumentation and Measurement, 2024 | 49 | 2024 |
| Quality Prediction Modeling for Industrial Processes Using Multiscale Attention-Based Convolutional Neural Network X Yuan, L Huang, L Ye, Y Wang, K Wang, C Yang, W Gui, F Shen IEEE Transactions on Cybernetics, 2024 | 48 | 2024 |
| Probabilistic density-based regression model for soft sensing of nonlinear industrial processes X Yuan, Y Wang, C Yang, W Gui, L Ye Journal of Process Control 57, 15-25, 2017 | 48 | 2017 |
| A SIA-LSTM based virtual metrology for quality variables in irregular sampled time sequence of industrial processes X Yuan, Z Jia, L Li, K Wang, L Ye, Y Wang, C Yang, W Gui Chemical Engineering Science 249, 117299, 2022 | 42 | 2022 |
| Deep learning with neighborhood preserving embedding regularization and its application for soft sensor in an industrial hydrocracking process C Liu, K Wang, L Ye, Y Wang, X Yuan Information Sciences 567, 42-57, 2021 | 42 | 2021 |
| Dynamic Process Monitoring Based on Variational Bayesian Canonical Variate Analysis J Yu, L Ye, L Zhou, Z Yang, F Shen, Z Song IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2412-2422, 2021 | 37 | 2021 |
| A novel hierarchical control structure with controlled variable adaptation L Ye, Y Cao, X Ma, Z Song Industrial & Engineering Chemistry Research 53 (38), 14695-14711, 2014 | 34 | 2014 |
| Deep Learning for Data Modeling of Multirate Quality Variables in Industrial Processes X Yuan, L Feng, K Wang, Y Wang, L Ye IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 33 | 2021 |
| Economic operation of a fluid catalytic cracking process using self-optimizing control and reconfiguration H Guan, L Ye, F Shen, Z Song Journal of the Taiwan Institute of Chemical Engineers 96, 104-113, 2019 | 28 | 2019 |
| Nonlinear dynamic soft sensor development with a supervised hybrid CNN-LSTM network for industrial processes J Zheng, L Ma, Y Wu, L Ye, F Shen ACS omega 7 (19), 16653-16664, 2022 | 26 | 2022 |
| Virtual Sensor Modeling for Nonlinear Dynamic Processes Based on Local Weighted PSFA X Yuan, J Rao, Y Wang, L Ye, K Wang IEEE Sensors Journal 22 (21), 20655-20664, 2022 | 25 | 2022 |
| Estimation-Based Quadratic Iterative Learning Control for Trajectory Tracking of Robotic Manipulator With Uncertain Parameters M Zhu, L Ye, X Ma IEEE Access 8, 43122-43133, 2020 | 24 | 2020 |
| Multiscale dynamic feature learning for quality prediction based on hierarchical sequential generative network X Yuan, L Huang, L Li, K Wang, Y Wang, L Ye, F Shen IEEE Sensors Journal, 2023 | 23 | 2023 |
| LSTM Soft Sensor Development of Batch Processes With Multivariate Trajectory-Based Ensemble Just-in-Time Learning F Shen, J Zheng, L Ye, X Ma IEEE Access 8, 73855-73864, 2020 | 23 | 2020 |