Ying Liu

17 papers B 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2023 J jnl
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry.
IEEE Trans. Ind. Electron.
Ze Wang, Zhongyang Han, Jun Zhao, Wei Wang, Ying Liu
2023 J jnl
Time series prediction with input noise based on the ESN and the EM and its industrial applications.
Expert Syst. Appl.
Ying Liu, Long Chen, Yunchong Li, Jun Zhao, Wei Wang
2022 — conf
Multiple imputation based on Bayesian principal component analysis and bootstrap.
ASCC
Ying Liu, Yunchong Li, Long Chen, Jun Zhao, Wei Wang
2021 J jnl
A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry.
Inf. Sci.
Feng Jin, Jun Zhao, Ying Liu, Wei Wang, Qingshan Xu
2021 J jnl
Incremental Bayesian broad learning system and its industrial application.
Artif. Intell. Rev.
Ying Liu, Yifei Wang, Long Chen, Jun Zhao, Wei Wang, Quanli Liu
2019 J jnl
Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network.
IEEE Access
Qiang Wang, Linqing Wang, Ying Liu, Jun Zhao, Wei Wang
2018 B conf
Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling.
CEC
Tianyu Wang, Jun Zhao, Wei Wang, Ying Liu, Ge Guo
2016 J jnl
Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient.
Inf. Sci.
Zheng Lv, Jun Zhao, Ying Liu, Wei Wang
2016 J jnl
Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks.
Artif. Intell. Rev.
Long Chen, Ying Liu, Jun Zhao, Wei Wang, Quanli Liu
2015 J jnl
Soft computing for overflow particle size in grinding process based on hybrid case based reasoning.
Appl. Soft Comput.
Zheng Lv, Ying Liu, Jun Zhao, Wei Wang
2015 — conf
Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry.
ASCC
Zheng Lv, Jun Zhao, Wei Wang, Ying Liu, Linqing Wang
2014 J jnl
A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry.
IEEE Trans Autom. Sci. Eng.
Jun Zhao, Wei Wang, Kan Sun, Ying Liu
2014 J jnl
Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry.
Inf. Sci.
Jun Zhao, Kai Liu, Wei Wang, Ying Liu
2013 J jnl
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration.
Neurocomputing
Jun Zhao, Xiaoliang Zhu, Wei Wang, Ying Liu
2012 J jnl
Data-driven based model for flow prediction of steam system in steel industry.
Inf. Sci.
Ying Liu, Quanli Liu, Wei Wang, Jun Zhao, Henry Leung
2012 J jnl
Prediction for noisy nonlinear time series by echo state network based on dual estimation.
Neurocomputing
Chunyang Sheng, Jun Zhao, Ying Liu, Wei Wang
2011 J jnl
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application.
IEEE Trans. Control. Syst. Technol.
Jun Zhao, Wei Wang, Ying Liu, Witold Pedrycz