Prophet-EEMD-LSTM based method for predicting energy consumption in the paint workshop. - Yingkang Lu; Buyun Sheng; Gaocai Fu; Ruiping Luo; Geng Chen; Yuzhe Huang 003 (Appl. Soft Comput., 2023)

An adaptive sampling method for STL free-form surfaces based on the quasi-Gauss curvature grid. - Gaocai Fu; Buyun Sheng; Yuzhe Huang 003; Ruiping Luo; Geng Chen; Ganlin Sheng (Int. J. Comput. Integr. Manuf., 2023)

Multi-objective simulated annealing algorithm for robotic mixed-model two-sided assembly line balancing with setup times and multiple constraints. - Yuzhe Huang 003; Buyun Sheng; Gaocai Fu; Ruiping Luo; Yingkang Lu (Appl. Soft Comput., 2024)

The physical information LSTM surrogate model for establishing a digital twin model of reciprocating air compressors. - Yingkang Lu; Yanfei Li; Gaocai Fu; Yu Jiang; Yuzhe Huang 003; Jiaxing Zhu; Buyun Sheng (Appl. Soft Comput., 2024)

Solving human-robot collaborative mixed-model two-sided assembly line balancing using multi-objective discrete artificial bee colony algorithm. - Yuzhe Huang 003; Buyun Sheng; Ruiping Luo; Yingkang Lu; Gaocai Fu; Xiyan Yin (Comput. Ind. Eng., 2024)

Deep reinforcement learning for integrated virtual and physical car resequencing in automotive assembly shops. - Yuzhe Huang 003; Buyun Sheng; Gaocai Fu; Yingkang Lu; Junpeng Yu (Expert Syst. Appl., 2025)

Deep reinforcement learning for solving car resequencing with selectivity banks in automotive assembly shops. - Yuzhe Huang 003; Gaocai Fu; Buyun Sheng; Yingkang Lu; Junpeng Yu; Xiyan Yin (Int. J. Prod. Res., 2025)

Solving car resequencing in automotive assembly shops based on multi-objective deep reinforcement learning. - Yuzhe Huang 003; Buyun Sheng; Gaocai Fu; Junpeng Yu; Yingkang Lu; Xiyan Yin (Comput. Ind. Eng., 2026)