Yi Liu
Cited by
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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
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
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
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
Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN
Y Liu, Y Fan, J Chen
Energy & Fuels 31 (8), 8776-8783, 2017
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
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, 2019
Automatic Pearl Classification Machine Based on Multistream Convolutional Neural Network
Q Xuan, B Fang, Y Liu, J Wang, J Zhang, Y Zheng, G Bao
IEEE Transactions on Industrial Electronics, 2018
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
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
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
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
Real‐time property prediction for an industrial rubber‐mixing process with probabilistic ensemble Gaussian process regression models
Y Liu, Z Gao
Journal of Applied Polymer Science 132 (6), 2015
Correntropy Kernel Learning for Nonlinear System Identification with Outliers
Y Liu, J Chen
Industrial & Engineering Chemistry Research 53 (13), 5248-5260, 2014
Nonlinear System Identification with Selective Recursive Gaussian Process Models
LLT Chan, Y Liu, J Chen
Industrial & Engineering Chemistry Research 52 (51), 18276-18286, 2013
刘毅, 王海清, 李平
化工学报 58 (11), 2007
刘毅, 王海清
生物工程学报 22 (1), 144-149, 2006
Active Selection of Informative Data for Sequential Quality Enhancement of Soft Sensor Models with Latent Variables
Y Liu, QY Wu, J Chen
Industrial & Engineering Chemistry Research 56 (16), 4804-4817, 2017
Development of soft-sensors for online quality prediction of sequential-reactor-multi-grade industrial processes
Y Liu, Z Gao, J Chen
Chemical Engineering Science 102, 602-612, 2013
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
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