Definition and recognition of rib features in aircraft structural part. - Yingguang Li; Wei Wang 114; Xu Liu 019; Yongsheng Ma (Int. J. Comput. Integr. Manuf., 2014)

A tool path generation method for freeform surface machining by introducing the tensor property of machining strip width. - Xu Liu 019; Yingguang Li; Sibo Ma; Chen-Han Lee (Comput. Aided Des., 2015)

Combining Dynamic Machining Feature With Function Blocks for Adaptive Machining. - Xu Liu 019; Yingguang Li; Lihui Wang 001 (IEEE Trans Autom. Sci. Eng., 2016)

An interference-and-chatter-free tool orientation planning method for five-axis NC machining. - Xiaonan Pu; Xu Liu 019; Sisheng Yang; Xiang Ling 003 (Int. J. Manuf. Res., 2019)

Residual fourier neural operator for thermochemical curing of composites. - Gengxiang Chen; Yingguang Li; Xu Liu 019; Qinglu Meng; Jing Zhou; Xiaozhong Hao (CoRR, 2021)

Deep transfer learning for conditional shift in regression. - Xu Liu 019; Yingguang Li; Qinglu Meng; Gengxiang Chen (Knowl. Based Syst., 2021)

A Data-drivenParameter Planning Method for Structural Parts NC Machining. - Tianchi Deng; Yingguang Li; Xu Liu 019; Pengcheng Wang; Kai Lu (Robotics Comput. Integr. Manuf., 2021)

Predicting part deformation based on deformation force data using Physics-informed Latent Variable Model. - Zhiwei Zhao; Yingguang Li; Changqing Liu; Xu Liu 019 (Robotics Comput. Integr. Manuf., 2021)

A mechanism informed neural network for predicting machining deformation of annular parts. - Yang Ni; Yingguang Li; Changqing Liu; Xu Liu 019 (Adv. Eng. Informatics, 2022)

Transfer learning for regression via latent variable represented conditional distribution alignment. - Xu Liu 019; Yingguang Li; Gengxiang Chen (Knowl. Based Syst., 2022)

Transfer Learning Under Conditional Shift Based on Fuzzy Residual. - Gengxiang Chen; Yingguang Li; Xu Liu 019 (IEEE Trans. Cybern., 2022)

Laplace neural operator for complex geometries. - Gengxiang Chen; Xu Liu 019; Yingguang Li; Qinglu Meng; Lu Chen (CoRR, 2023)

Federated learning-based collaborative manufacturing for complex parts. - Tianchi Deng; Yingguang Li; Xu Liu 019; Lihui Wang 001 (J. Intell. Manuf., 2023)

Multiple source partial knowledge transfer for manufacturing system modelling. - Xu Liu 019; Yingguang Li; Lu Chen; Gengxiang Chen; Boya Zhao (Robotics Comput. Integr. Manuf., 2023)

Diffeomorphism Neural Operator for various domains and parameters of partial differential equations. - Zhiwei Zhao; Changqing Liu; Yingguang Li; Zhibin Chen; Xu Liu 019 (CoRR, 2024)

Physics-Informed Neural Networks With Weighted Losses by Uncertainty Evaluation for Accurate and Stable Prediction of Manufacturing Systems. - Jiaqi Hua; Yingguang Li; Changqing Liu; Peng Wan; Xu Liu 019 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mutual Information-Guided Multiobjective Learning Framework for Augmenting Incomplete Mechanism Models With Neural Networks. - Yinghao Cheng; Yingguang Li; Xu Liu 019 (IEEE Trans. Ind. Informatics, 2024)

BV-NORM: A neural operator learning framework for parametric boundary value problems on complex geometric domains in engineering. - Zhiliang Deng; Qinglu Meng; Yingguang Li; Xu Liu 019; Gengxiang Chen; Lu Chen; Changqing Liu; Xiaozhong Hao (Eng. Appl. Artif. Intell., 2025)

Stable Data-Driven Manufacturing Decision- Making by Introducing Causal Relationships for High-Dimensional Data. - Zhiwei Zhao; Yingguang Li; Changqing Liu; Xu Liu 019; James Gao (IEEE Trans. Ind. Informatics, 2025)