A transferred hybrid surrogate model integrating Gaussian membership virtual sample generation for small sample prediction: Applications in metal tube bending. - Zili Wang 001; Yuchen Gu; Shuyou Zhang 001; Xiaojian Liu; Yaochen Lin; Jianrong Tan (Eng. Appl. Artif. Intell., 2024)

Towards high-accuracy axial springback: Mesh-based simulation of metal tube bending via geometry/process-integrated graph neural networks. - Zili Wang 001; Caicheng Wang; Shuyou Zhang 001; Lemiao Qiu; Yaochen Lin; Jianrong Tan; Chang Sun (Expert Syst. Appl., 2024)

A multi-state fusion informer integrating transfer learning for metal tube bending early wrinkling prediction. - Zili Wang 001; Yujun Yuan; Shuyou Zhang 001; Yaochen Lin; Jianrong Tan (Appl. Soft Comput., 2024)

Task incremental learning-driven Digital-Twin predictive modeling for customized metal forming product manufacturing process. - Jie Li; Zili Wang 001; Shuyou Zhang 001; Yaochen Lin; Lanfang Jiang; Jianrong Tan (Robotics Comput. Integr. Manuf., 2024)

Cross-sectional performance prediction of metal tubes bending with tangential variable boosting based on parameters-weight-adaptive CNN. - Yongzhe Xiang; Zili Wang 001; Shuyou Zhang 001; Lanfang Jiang; Yaochen Lin; Jianrong Tan (Expert Syst. Appl., 2024)

Multi-unit global-local registration for 3D bent tube based on implicit structural feature compatibility. - Le Wang; Zili Wang 001; Shuyou Zhang 001; Jianrong Tan; Yaochen Lin; Yongzhe Xiang (Adv. Eng. Informatics, 2025)

Cross-forming-process transfer enabled graph neural networks for accurate axial-forming prediction in metal tube bending. - Caicheng Wang; Zili Wang 001; Shuyou Zhang 001; Yaochen Lin; Yongzhe Xiang; Le Wang; Jianrong Tan (Appl. Soft Comput., 2025)

Diameter-adjustable mandrel for thin-wall tube bending and its domain knowledge-integrated optimization design framework. - Zili Wang 001; Jie Li; Xiaojian Liu; Shuyou Zhang 001; Yaochen Lin; Jianrong Tan (Eng. Appl. Artif. Intell., 2025)

A physical-modulated framework for process optimization and shape inference of industrial metal tube. - Le Wang; Zili Wang 001; Shuyou Zhang 001; Jianrong Tan; Yaochen Lin; Yongzhe Xiang (Eng. Appl. Artif. Intell., 2025)

Spatial spiral tube multi-roller bending: Accurate axial prediction utilizing AWPSO-FECAM-LSTM framework. - Zili Wang 001; Yonglin Tao; Shuyou Zhang 001; Xiaojian Liu; Yaochen Lin; Liangyou Li; Jianrong Tan; Zheyi Li (Expert Syst. Appl., 2026)