Ying Liu

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 6

Top Topics

Structure Learning

Top Venues

Artif. Intell. Rev.

IEEE Trans. Ind. Electron.

IEEE Trans Autom. Sci. Eng.

Publications

Ze Wang, Zhongyang Han, Jun Zhao, Wei Wang, Ying Liu
A Multicriteria Evaluation and Cascaded Optimization Framework for Integrated Energy System of Steel Industry. IEEE Trans. Ind. Electron. 70 (5) (2023)
Feng Jin, Jun Zhao, Ying Liu, Wei Wang, Qingshan Xu
A scheduling approach with uncertainties in generation and consumption for converter gas system in steel industry. Inf. Sci. 546 (2021)
Qiang Wang, Linqing Wang, Ying Liu, Jun Zhao, Wei Wang
Time Series Prediction With Incomplete Dataset Based on Deep Bidirectional Echo State Network. IEEE Access 7 (2019)
Tianyu Wang, Jun Zhao, Wei Wang, Ying Liu, Ge Guo
Target-Oriented Granular Inference with Evolutionary Updating for Converter Gas Scheduling. CEC (2018)
Zheng Lv, Jun Zhao, Ying Liu, Wei Wang
Data imputation for gas flow data in steel industry based on non-equal-length granules correlation coefficient. Inf. Sci. (2016)
Long Chen, Ying Liu, Jun Zhao, Wei Wang, Quanli Liu
Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks. Artif. Intell. Rev. 46 (3) (2016)
Zheng Lv, Ying Liu, Jun Zhao, Wei Wang
Soft computing for overflow particle size in grinding process based on hybrid case based reasoning. Appl. Soft Comput. 27 (2015)
Zheng Lv, Jun Zhao, Wei Wang, Ying Liu, Linqing Wang
Subset fusion based T-S fuzzy modeling for blast furnace gas system in steel industry. ASCC (2015)
Jun Zhao, Wei Wang, Kan Sun, Ying Liu
A Bayesian Networks Structure Learning and Reasoning-Based Byproduct Gas Scheduling in Steel Industry. IEEE Trans Autom. Sci. Eng. 11 (4) (2014)
Jun Zhao, Kai Liu, Wei Wang, Ying Liu
Adaptive fuzzy clustering based anomaly data detection in energy system of steel industry. Inf. Sci. 259 (2014)
Jun Zhao, Xiaoliang Zhu, Wei Wang, Ying Liu
Extended Kalman filter-based Elman networks for industrial time series prediction with GPU acceleration. Neurocomputing 118 (2013)
Chunyang Sheng, Jun Zhao, Ying Liu, Wei Wang
Prediction for noisy nonlinear time series by echo state network based on dual estimation. Neurocomputing 82 (2012)
Ying Liu, Quanli Liu, Wei Wang, Jun Zhao, Henry Leung
Data-driven based model for flow prediction of steam system in steel industry. Inf. Sci. 193 (2012)
Jun Zhao, Wei Wang, Ying Liu, Witold Pedrycz
A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. IEEE Trans. Control. Syst. Technol. 19 (3) (2011)