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發表論文：
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Y.
Liu,
Y.
Fan and J. Chen,
Flame Images for Oxygen Content Prediction of Combustion Systems Using DBN,
Energy & Fuels,
2017.
(Accepted)
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Y.
Liu,
Q.-Y. Wu,
and
J. Chen,
Active Selection of Informative Data for Sequential Quality Enhancement of Soft Sensor Models with Latent Variables,
Ind. Eng. Chem. Res.,
56 (16), 4804–4817, 2017.
Y. Liu, C.-P. Chou,
J. Chen, J.-Y. Lai, Active Learning Assisted Strategy of Constructing Hybrid Models in Repetitive Operations of Membrane Filtration Processes: Using Case of Mixture of Bentonite Clay and Sodium Alginatel,
J. Membr. Sci.,
515, 245-257,
2016.
Y. Liu, Z. Zhang and
J. Chen,Ensemble Local Kernel Learning for Online Prediction of Distributed Product Outputs in Chemical Processes,
Chem. Eng. Sci., 137, 140-151, 2015.
Y. Liu, T. Chen and
J. Chen, Auto-Switch Gaussian Process Regression-based Probabilistic Soft Sensors for Industrial Multi-Grade Processes with Transitions,
Ind. Eng. Chem. Res., 54(18), 5037-5047,2015.
Y. Liu and
J. Chen, Correntropy
Kernel Learning for Nonlinear System Identification with Outliers,
Ind. Eng. Chem. Res.,
53(13) 5248-5260, 2014.
L. L. T. Chan, Y.
Liu and J. Chen, Nonlinear System Identification with Selective
Recursive Gaussian Process Models, Ind. Eng. Chem. Res. 52
(51) 18276-18286, 2013.
T. Chen, Y. Liu and
J. Chen, An Integrated Approach to Active Model Adaptation and
On-Line Dynamic Optimisation of Batch Processes, J. Process Contr.,
23, 1350-1359, 2013.
Y. Liu, Z. Gao and
J. Chen, Development of Soft-Sensors for Online Quality Prediction
of Sequential-Reactor-Multi-Grade Industrial Processes, Chem.
Eng. Sci., 102, 602-612, 2013, 2013.
Y. Liu and J. Chen,
Integrated Soft Sensor using Just-in-time Support Vector Regression
and Probabilistic Analysis for Quality Prediction of Multi-grade
Processes, J. Process Contr., 23, 793-804, 2013.
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Y. Liu and J. Chen, Correntropy-Based
Kernel Learning for Nonlinear System Identification with Unknown
Noise: An Industrial Case Study, 10th IFAC Symposium on Dynamics and COntrol of Process
Systems, DYCOPS2013, December
18-20, 2013, Mumbai, India.
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