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Dr. Yi Liu
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Year
Ensemble deep kernel learning with application to quality prediction in industrial polymerization processes
Y Liu, C Yang, Z Gao, Y Yao
Chemometrics and Intelligent Laboratory Systems 174, 15-21, 2018
1882018
Integrated soft sensor using just-in-time support vector regression and probabilistic analysis for quality prediction of multi-grade processes
Y Liu, J Chen
Journal of Process control 23 (6), 793-804, 2013
1442013
Domain adaptation transfer learning soft sensor for product quality prediction
Y Liu, C Yang, K Liu, B Chen, Y Yao
Chemometrics and Intelligent Laboratory Systems 192, 103813, 2019
1272019
Flame images for oxygen content prediction of combustion systems using DBN
Y Liu, Y Fan, J Chen
Energy & Fuels 31 (8), 8776-8783, 2017
1262017
Just-in-time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes
Y Liu, Z Gao, P Li, H Wang
Industrial & Engineering Chemistry Research 51 (11), 4313-4327, 2012
1252012
Just-in-time semi-supervised soft sensor for quality prediction in industrial rubber mixers
W Zheng, Y Liu, Z Gao, J Yang
Chemometrics and Intelligent Laboratory Systems 180, 36-41, 2018
1132018
Multiview generative adversarial network and its application in pearl classification
Q Xuan, Z Chen, Y Liu, H Huang, G Bao, D Zhang
IEEE Transactions on Industrial Electronics 66 (10), 8244-8252, 2018
1122018
Generative principal component thermography for enhanced defect detection and analysis
K Liu, Y Li, J Yang, Y Liu, Y Yao
IEEE Transactions on Instrumentation and Measurement 69 (10), 8261-8269, 2020
1072020
Automatic pearl classification machine based on a multistream convolutional neural network
Q Xuan, B Fang, Y Liu, J Wang, J Zhang, Y Zheng, G Bao
IEEE Transactions on Industrial Electronics 65 (8), 6538-6547, 2017
842017
Selective recursive kernel learning for online identification of nonlinear systems with NARX form
Y Liu, H Wang, J Yu, P Li
Journal of Process Control 20 (2), 181-194, 2010
842010
Auto-switch Gaussian process regression-based probabilistic soft sensors for industrial multigrade processes with transitions
Y Liu, T Chen, J Chen
Industrial & Engineering Chemistry Research 54 (18), 5037-5047, 2015
832015
Open dnn box by power side-channel attack
Y Xiang, Z Chen, Z Chen, Z Fang, H Hao, J Chen, Y Liu, Z Wu, Q Xuan, ...
IEEE Transactions on Circuits and Systems II: Express Briefs 67 (11), 2717-2721, 2020
772020
Software visualization and deep transfer learning for effective software defect prediction
J Chen, K Hu, Y Yu, Z Chen, Q Xuan, Y Liu, V Filkov
Proceedings of the ACM/IEEE 42nd international conference on software …, 2020
742020
Soft chemical analyzer development using adaptive least-squares support vector regression with selective pruning and variable moving window size
Y Liu, N Hu, H Wang, P Li
Industrial & Engineering Chemistry Research 48 (12), 5731-5741, 2009
732009
Development of adversarial transfer learning soft sensor for multigrade processes
Y Liu, C Yang, M Zhang, Y Dai, Y Yao
Industrial & Engineering Chemistry Research 59 (37), 16330-16345, 2020
672020
Deep autoencoder thermography for defect detection of carbon fiber composites
K Liu, M Zheng, Y Liu, J Yang, Y Yao
IEEE Transactions on Industrial Informatics, 2022
572022
Spatial-neighborhood manifold learning for nondestructive testing of defects in polymer composites
Y Liu, K Liu, J Yang, Y Yao
IEEE Transactions on Industrial Informatics 16 (7), 4639-4649, 2019
542019
Pensim 仿真平台在青霉素发酵过程的应用研究
刘毅, 王海清
系统仿真学报 18 (12), 3524-3527, 2006
54*2006
Adaptive local kernel-based learning for soft sensor modeling of nonlinear processes
K Chen, J Ji, H Wang, Y Liu, Z Song
Chemical Engineering Research and Design 89 (10), 2117-2124, 2011
522011
Real‐time property prediction for an industrial rubber‐mixing process with probabilistic ensemble G aussian process regression models
Y Liu, Z Gao
Journal of Applied Polymer Science 132 (6), 2015
502015
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Articles 1–20