Ying Liu

Orcid: 0000-0003-2441-5537

Affiliations:
  • Dalian University of Technology, School of Control Science and Engineering, China


According to our database1, Ying Liu authored at least 16 papers between 2011 and 2023.

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Bibliography

2023
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry.
IEEE Trans. Ind. Electron., 2023

2022
Multiple imputation based on Bayesian principal component analysis and bootstrap.
Proceedings of the 13th Asian Control Conference, 2022

2021
A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry.
Inf. Sci., 2021

Incremental Bayesian broad learning system and its industrial application.
Artif. Intell. Rev., 2021

2019
Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network.
IEEE Access, 2019

2018
Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016
Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient.
Inf. Sci., 2016

Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks.
Artif. Intell. Rev., 2016

2015
Soft computing for overflow particle size in grinding process based on hybrid case based reasoning.
Appl. Soft Comput., 2015

Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry.
Proceedings of the 10th Asian Control Conference, 2015

2014
A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry.
IEEE Trans Autom. Sci. Eng., 2014

Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry.
Inf. Sci., 2014

2013
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration.
Neurocomputing, 2013

2012
Data-driven based model for flow prediction of steam system in steel industry.
Inf. Sci., 2012

Prediction for noisy nonlinear time series by echo state network based on dual estimation.
Neurocomputing, 2012

2011
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application.
IEEE Trans. Control. Syst. Technol., 2011


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