A Complete Methodology for Estimating Dynamics of the Heavy Machine Tool Structure. - Hui Cai; Bin Li 026; Xinyong Mao; Bo Luo; Fangyu Peng (ICIRA (2), 2013)

A De-Theoretical Experimental Modal Analysis Method Using Data Mining-Symbol Regression. - Hai Lin; Yingjie Chen; Xuchu Jiang; Xinyong Mao (FSDM, 2019)

Estimation of mass matrix in machine tool's weak components research by using symbolic regression. - Hongqi Liu; Hai Lin; Xuchu Jiang; Xinyong Mao; Quanxin Liu; Bin Li (Comput. Ind. Eng., 2019)

A Novel Approach Based on Knowledge Graph and XGBoost to Characterize and Predict Position- and Speed-Dependent Dynamics of Machine Tool Structure. - Chaochao Qiu; Xinyong Mao; Weiye Li (ICITEE, 2020)

Research on the commonness and dissimilarity of group machine tools based on BP and SAE algorithms. - Xuwu Yuan; Caihua Hao; Jiarong Gu; Xinyong Mao; Hongqi Liu; Jie Zhang; Xuchu Jiang; Hongguang Zhu (Comput. Ind. Eng., 2021)

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 based on knowledge graph to characterize cutting vibration under the coupling effect of varied cutting excitation and position-dependent dynamics. - Chaochao Qiu; Ling Yin; Xinyong Mao; Lijuan Zhang; Fei Zhang 012 (Int. J. Comput. Integr. Manuf., 2025)