Follow
Le Yao
Title
Cited by
Cited by
Year
Deep learning of semisupervised process data with hierarchical extreme learning machine and soft sensor application
L Yao, Z Ge
IEEE Transactions on Industrial Electronics 65 (2), 1490-1498, 2017
2662017
Big data quality prediction in the process industry: A distributed parallel modeling framework
L Yao, Z Ge
Journal of Process Control 68, 1-13, 2018
992018
Nonlinear probabilistic latent variable regression models for soft sensor application: From shallow to deep structure
B Shen, L Yao, Z Ge
Control Engineering Practice 94, 104198, 2020
862020
Scalable semisupervised GMM for big data quality prediction in multimode processes
L Yao, Z Ge
IEEE Transactions on Industrial Electronics 66 (5), 3681-3692, 2018
812018
Locally weighted prediction methods for latent factor analysis with supervised and semisupervised process data
L Yao, Z Ge
IEEE Transactions on Automation Science and Engineering 14 (1), 126-138, 2016
752016
Moving window adaptive soft sensor for state shifting process based on weighted supervised latent factor analysis
L Yao, Z Ge
Control Engineering Practice 61, 72-80, 2017
582017
Distributed parallel deep learning of hierarchical extreme learning machine for multimode quality prediction with big process data
L Yao, Z Ge
Engineering Applications of Artificial Intelligence 81, 450-465, 2019
542019
Online updating soft sensor modeling and industrial application based on selectively integrated moving window approach
L Yao, Z Ge
IEEE Transactions on Instrumentation and Measurement 66 (8), 1985-1993, 2017
532017
Parallel computing and SGD-based DPMM for soft sensor development with large-scale semisupervised data
W Shao, L Yao, Z Ge, Z Song
IEEE Transactions on Industrial Electronics 66 (8), 6362-6373, 2018
472018
Cooperative deep dynamic feature extraction and variable time-delay estimation for industrial quality prediction
L Yao, Z Ge
IEEE Transactions on Industrial Informatics 17 (6), 3782-3792, 2020
412020
Virtual sensing f-CaO content of cement clinker based on incremental deep dynamic features extracting and transferring model
L Yao, X Jiang, G Huang, J Qian, B Shen, L Xu, Z Ge
IEEE Transactions on Instrumentation and Measurement 70, 1-10, 2020
372020
Industrial big data modeling and monitoring framework for plant-wide processes
L Yao, Z Ge
IEEE Transactions on Industrial Informatics 17 (9), 6399-6408, 2020
372020
Refining data-driven soft sensor modeling framework with variable time reconstruction
L Yao, Z Ge
Journal of Process Control 87, 91-107, 2020
332020
Dynamic features incorporated locally weighted deep learning model for soft sensor development
L Yao, Z Ge
IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021
322021
Streaming parallel variational Bayesian supervised factor analysis for adaptive soft sensor modeling with big process data
Z Yang, L Yao, Z Ge
Journal of Process Control 85, 52-64, 2020
282020
Bayesian nonlinear Gaussian mixture regression and its application to virtual sensing for multimode industrial processes
W Shao, Z Ge, L Yao, Z Song
IEEE Transactions on Automation Science and Engineering 17 (2), 871-885, 2019
272019
Attention-based Feature Fusion Generative Adversarial Network for yarn-dyed fabric defect detection
H Zhang, G Qiao, S Lu, L Yao, X Chen
Textile Research Journal 93 (5-6), 1178-1195, 2023
252023
Hierarchical quality monitoring for large-scale industrial plants with big process data
L Yao, W Shao, Z Ge
IEEE Transactions on Neural Networks and Learning Systems 32 (8), 3330-3341, 2019
222019
Nonlinear Gaussian mixture regression for multimode quality prediction with partially labeled data
L Yao, Z Ge
IEEE transactions on industrial informatics 15 (7), 4044-4053, 2018
212018
Scalable learning and probabilistic analytics of industrial big data based on parameter server: Framework, methods and applications
L Yao, Z Ge
Journal of Process Control 78, 13-33, 2019
202019
The system can't perform the operation now. Try again later.
Articles 1–20