A Novel Approach for Surface Integrity Monitoring in High-Energy Nanosecond-Pulse Laser Shock Peening: Acoustic Emission and Hybrid-Attention CNN. - Zhifen Zhang; Rui Qin; Geng Li; Zhengyao Du; Guangrui Wen; Weifeng He (IEEE Trans. Ind. Informatics, 2023)

Surface stress monitoring of laser shock peening using AE time-scale texture image and multi-scale blueprint separable convolutional networks with attention mechanism. - Rui Qin; Zhifen Zhang; Jing Huang; Jie Wang; Zhengyao Du; Guangrui Wen; Weifeng He (Expert Syst. Appl., 2023)

Deciphering laser shock peening quality monitoring: Wavelet-driven network with interpretability. - Rui Qin; Zhifen Zhang; Jing Huang; Zhengyao Du; Xizhang Chen; Yu Su; Guangrui Wen; Weifeng He; Xuefeng Chen 002 (Adv. Eng. Informatics, 2024)

A novel physically interpretable end-to-end network for stress monitoring in laser shock peening. - Rui Qin; Zhifen Zhang; Jing Huang; Zhengyao Du; Xianwen Xiang; Jie Wang; Guangrui Wen; Weifeng He (Comput. Ind., 2024)

MelNet: an end-to-end adaptive network with adjustable frequency for preprocessing-free broadband acoustic emission signals. - Jing Huang; Rui Qin; Zhifen Zhang; Zhengyao Du; Shuai Zhang; Yu Su; Guangrui Wen; Wei Cheng; Xuefeng Chen (Inf. Fusion, 2025)