Chang Liu

According to our database, Chang Liu authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Multiobjective Evolutionary Learning for Multitask Quality Prediction Problems in Continuous Annealing Process.

Chang Liu, Lixin Tang, Kainan Zhang, Xuanqi Xu

IEEE Trans. Neural Networks Learn. Syst., August, 2025

A Multiobjective Evolutionary Multiscale Transformer Incorporating Fractal Features for Steel Materials Quality Analytics.

Kainan Zhang, Chang Liu, Lixin Tang

IEEE Trans. Image Process., 2025

Multi-Objective Evolutionary Neural Architecture Search for Material Microstructure Segmentation.

Kainan Zhang, Chang Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

A Novel Dynamic Operation Optimization Method Based on Multiobjective Deep Reinforcement Learning for Steelmaking Process.

Chang Liu, Lixin Tang, Chenche Zhao

IEEE Trans. Neural Networks Learn. Syst., March, 2024

An Estimation of Distribution Algorithm With Resampling and Local Improvement for an Operation Optimization Problem in Steelmaking Process.

Lixin Tang, Chang Liu, Jiyin Liu, Xianpeng Wang

IEEE Trans. Syst. Man Cybern. Syst., 2024

2023

Crack detection of continuous casting slab by evolutionary topology backbone search.

Tianchen Zhao, Xianpeng Wang, Xiangman Song, Chang Liu

Appl. Soft Comput., October, 2023

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, Jian Wu, Xiangman Song

IEEE Trans Autom. Sci. Eng., 2023

2022

Improvement of Kriging interpolation with learning kernel in environmental variables study.

Te Xu, Yongxia Liu, Lixin Tang, Chang Liu

Int. J. Prod. Res., 2022

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, Huan Li

Comput. Ind. Eng., 2022

2021

An Estimation of Distribution Algorithm With Filtering and Learning.

Lixin Tang, Xiangman Song, Jiyin Liu, Chang Liu

IEEE Trans Autom. Sci. Eng., 2021

Black box operation optimization of basic oxygen furnace steelmaking process with derivative free optimization algorithm.

Yongxia Liu, Lixin Tang, Chang Liu, Lijie Su, Jian Wu

Comput. Chem. Eng., 2021

2020

A Stacked Autoencoder With Sparse Bayesian Regression for End-Point Prediction Problems in Steelmaking Process.

Chang Liu, Lixin Tang, Jiyin Liu

IEEE Trans Autom. Sci. Eng., 2020

2019

A Dynamic Analytics Method Based on Multistage Modeling for a BOF Steelmaking Process.

Chang Liu, Lixin Tang, Jiyin Liu, Zhenhao Tang

IEEE Trans Autom. Sci. Eng., 2019

Least squares support vector machine with self-organizing multiple kernel learning and sparsity.

Chang Liu, Lixin Tang, Jiyin Liu

Neurocomputing, 2019

2016

An operation optimization method based on improved EDA for BOF end-point control.

Chang Liu, Xiangman Song, Te Xu, Lixin Tang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016