An operation optimization method based on improved EDA for BOF end-point control. - Chang Liu 039; Xiangman Song; Te Xu; Lixin Tang (CEC, 2016)

Least squares support vector machine with self-organizing multiple kernel learning and sparsity. - Chang Liu 039; Lixin Tang; Jiyin Liu (Neurocomputing, 2019)

A Dynamic Analytics Method Based on Multistage Modeling for a BOF Steelmaking Process. - Chang Liu 039; Lixin Tang; Jiyin Liu; Zhenhao Tang (IEEE Trans Autom. Sci. Eng., 2019)

A Stacked Autoencoder With Sparse Bayesian Regression for End-Point Prediction Problems in Steelmaking Process. - Chang Liu 039; Lixin Tang; Jiyin Liu (IEEE Trans Autom. Sci. Eng., 2020)

Black box operation optimization of basic oxygen furnace steelmaking process with derivative free optimization algorithm. - Yongxia Liu; Lixin Tang; Chang Liu 039; Lijie Su; Jian Wu (Comput. Chem. Eng., 2021)

An Estimation of Distribution Algorithm With Filtering and Learning. - Lixin Tang; Xiangman Song; Jiyin Liu; Chang Liu 039 (IEEE Trans Autom. Sci. Eng., 2021)

Modeling and predicting inventory variation for multistage steel production processes based on a new spatio-temporal Markov model. - Junting Huang; Ying Meng; Feng Liu; Chang Liu 039; Huan Li (Comput. Ind. Eng., 2022)

Improvement of Kriging interpolation with learning kernel in environmental variables study. - Te Xu; Yongxia Liu; Lixin Tang; Chang Liu 039 (Int. J. Prod. Res., 2022)

A Novel Operation Optimization Method Based on Mechanism Analytics for the Quality of Molten Steel in the BOF Steelmaking Process. - Dongying Song; Lixin Tang; Chang Liu 039; Jian Wu; Xiangman Song (IEEE Trans Autom. Sci. Eng., 2023)

Crack detection of continuous casting slab by evolutionary topology backbone search. - Tianchen Zhao; Xianpeng Wang 002; Xiangman Song; Chang Liu 039 (Appl. Soft Comput., 2023)

An Estimation of Distribution Algorithm With Resampling and Local Improvement for an Operation Optimization Problem in Steelmaking Process. - Lixin Tang; Chang Liu 039; Jiyin Liu; Xianpeng Wang 002 (IEEE Trans. Syst. Man Cybern. Syst., 2024)

A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking Process. - Chang Liu 039; Lixin Tang; Chenche Zhao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Multi-Objective Evolutionary Neural Architecture Search for Material Microstructure Segmentation. - Kainan Zhang; Chang Liu 039 (CEC, 2025)

A Multiobjective Evolutionary Multiscale Transformer Incorporating Fractal Features for Steel Materials Quality Analytics. - Kainan Zhang; Chang Liu 039; Lixin Tang (IEEE Trans. Image Process., 2025)

Multiobjective Evolutionary Learning for Multitask Quality Prediction Problems in Continuous Annealing Process. - Chang Liu 039; Lixin Tang; Kainan Zhang; Xuanqi Xu (IEEE Trans. Neural Networks Learn. Syst., 2025)