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 | 82 | 2013 |
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 | 63 | 2015 |
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 | 61 | 2022 |
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 | 51 | 2015 |
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 | 46 | 2021 |
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 | 42 | 2017 |
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 | 33 | 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 | 31 | 2014 |
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 | 30 | 2022 |
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 | 27 | 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 | 24 | 2019 |
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 | 22 | 2021 |
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 | 21 | 2020 |
Real-Time Optimization of Gold Cyanidation Leaching Process in a Two-Layer Control Architecture Integrating Self-Optimizing Control and Modifier Adaptation L Ye, A Miao, H Zhang Industrial & Engineering Chemistry Research 56 (14), 4002-4016, 2017 | 21 | 2017 |
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 | 20 | 2022 |
Neighborhood preserving regression embedding based data regression and its applications on soft sensor modeling M Aimin, L Peng, Y Lingjian Chemometrics and Intelligent Laboratory Systems 147, 86-94, 2015 | 20 | 2015 |
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 | 19 | 2020 |
Data-driven self-optimizing control SA Girei, Y Cao, AS Grema, L Ye, V Kariwala Computer aided chemical engineering 33, 649-654, 2014 | 19 | 2014 |
Dynamic optimization for batch processes with uncertainties via approximating invariant L Ye, V Kariwala, Y Cao 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA …, 2013 | 18 | 2013 |
Accelerated Kernel Canonical Correlation Analysis with Fault Relevance for Nonlinear Process Fault Isolation J Yu, K Wang, L Ye, Z Song Industrial & Engineering Chemistry Research 58 (39), 18280-18291, 2019 | 17 | 2019 |