Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion. - Chengming Shi; Bo Luo; Songping He; Kai Li; Hongqi Liu; Bin Li 026 (IEEE Trans. Ind. Informatics, 2020)

Defect attention template generation cycleGAN for weakly supervised surface defect segmentation. - Shuanlong Niu; Bin Li 026; Xinggang Wang; Songping He; Yaru Peng (Pattern Recognit., 2022)

Dynamics Knowledge Graph-Based Digital Thread for Machine Tool Dynamics Digital Twin. - Lu Zhang; Songping He; Tao Ma; Lei Zhang (RICAI, 2023)

A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS. - Chaochao Qiu; Kai Li; Xinzhao Zhou; Songping He; Bin Li (Adv. Eng. Informatics, 2023)

A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics. - Caihua Hao; Xinyong Mao; Tao Ma; Songping He; Bin Li 026; Hongqi Liu; Fangyu Peng; Lei Zhang (Adv. Eng. Informatics, 2023)

Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios. - Qiuning Zhu; Hongqi Liu; Chenyu Bao; Jiaming Zhu; Xinyong Mao; Songping He; Fangyu Peng (Adv. Eng. Informatics, 2024)

A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization. - Songping He; Xiangxi Li; Fangyu Peng; Jiazhi Liao; Xia Lu; Hui Guo; Xin Tan; Yanyan Chen (BMC Medical Informatics Decis. Mak., 2025)