Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm. - Yang Su; Saimeng Jin; Xiangping Zhang; Weifeng Shen; Mario R. Eden; Jingzheng Ren (Comput. Chem. Eng., 2020)

Improved design of heat-pump extractive distillation based on the process optimization and multi-criteria sustainability analysis. - Tao Shi; Yue Liu; Haoshui Yu; Ao Yang; Shirui Sun; Weifeng Shen; Carman K. M. Lee; Jingzheng Ren (Comput. Chem. Eng., 2022)

A Light Attention-Mixed-Base Deep Learning Architecture toward Process Multivariable Modeling and Knowledge Discovery. - Yue Li; Lijuan Hu; Ning Li; Weifeng Shen (Comput. Chem. Eng., 2023)

A Deep Learning-based Framework Towards inverse Green Solvent Design for Extractive Distillation with Multi-index Constraints. - Jun Zhang; Qin Wang; Mario R. Eden; Weifeng Shen (Comput. Chem. Eng., 2023)

Hydrogen prediction in poultry litter gasification process based on hybrid data-driven deep learning with multilevel factorial design and process simulation: A surrogate model. - Yousaf Ayub; Yusha Hu; Jingzheng Ren; Weifeng Shen; Carman K. M. Lee (Eng. Appl. Artif. Intell., 2023)

Energy-efficient heterogeneous triple-column azeotropic distillation process for recovery of ethyl acetate and methanol from wastewater. - Ao Yang; Shirui Sun; Zong Yang Kong; Shuangshuang Zhu; Jaka Sunarso; Weifeng Shen (Comput. Chem. Eng., 2024)

Pressure-swing heterogeneous azeotropic distillation for energy-efficient recovery of ethyl acetate and methanol from wastewater with expanded feed composition range. - Jiaxing Zhu; Ao Yang; Hao Zhang; Weifeng Shen (Comput. Chem. Eng., 2025)

A high-accuracy deep learning framework for digital twin model development of actual chemical processes. - Yue Li; Zhongmei Li; Jingzheng Ren; Wenli Du; Weifeng Shen (Eng. Appl. Artif. Intell., 2025)