SDFormer: A Novel Transformer Neural Network for Structural Damage Identification by Segmenting the Strain Field Map. - Zhaoyang Li; Ping Xu; Jie Xing; Chengxing Yang (Sensors, 2022)

Vehicle running attitude prediction model based on Artificial Neural Network-Parallel Connected (ANN-PL) in the single-vehicle collision. - Tuo Xu; Ping Xu; Hui Zhao; Chengxing Yang; Yong Peng (Adv. Eng. Softw., 2023)

Correlation feature distribution matching for fault diagnosis of machines. - Hongchuang Tan; Suchao Xie; Wen Ma; Chengxing Yang; Shiwei Zheng (Reliab. Eng. Syst. Saf., 2023)

Prediction method of impact deformation mode based on multimodal fusion with point cloud sequences: Applied to thin-walled structures. - Chengxing Yang; Zhaoyang Li; Ping Xu; Huichao Huang; Yujia Huo; Yuyang Wei (Adv. Eng. Informatics, 2024)

An LSTM-stacked autoencoder multisource response prediction and constraint optimization for scaled expansion tubes. - Tuo Xu; Ping Xu; Chengxing Yang; Zhixiang Li; Ao Wang; Weinian Guo (Appl. Soft Comput., 2024)

Recognition and optimisation method of impact deformation patterns based on point cloud and deep clustering: Applied to thin-walled tubes. - Chengxing Yang; Zhaoyang Li; Ping Xu; Huichao Huang (J. Ind. Inf. Integr., 2024)

Gradient-Guided Joint Representation Loss With Adaptive Neck for Train Crash Detection. - Yanjie Wen; Ping Xu; Min Jiang 005; Wangtu Xu; Chengxing Yang (IEEE Trans. Intell. Transp. Syst., 2025)