| Advanced data collection and analysis in data-driven manufacturing process K Xu, Y Li, C Liu, X Liu, X Hao, J Gao, PG Maropoulos Chinese Journal of Mechanical Engineering 33, 1-21, 2020 | 115 | 2020 |
| A tool path generation method for freeform surface machining by introducing the tensor property of machining strip width X Liu, Y Li, S Ma, C Lee Computer-Aided Design 66, 1-13, 2015 | 92 | 2015 |
| A dynamic feature information model for integrated manufacturing planning and optimization Y Li, X Liu, JX Gao, PG Maropoulos CIRP annals 61 (1), 167-170, 2012 | 73 | 2012 |
| Pose-dependent tool tip dynamics prediction using transfer learning G Chen, Y Li, X Liu International Journal of Machine Tools and Manufacture 137, 30-41, 2019 | 72 | 2019 |
| Deep transfer learning for conditional shift in regression X Liu, Y Li, Q Meng, G Chen Knowledge-Based Systems 227, 107216, 2021 | 42 | 2021 |
| Physics-informed Bayesian inference for milling stability analysis G Chen, Y Li, X Liu, B Yang International Journal of Machine Tools and Manufacture 167, 103767, 2021 | 41 | 2021 |
| Definition and recognition of rib features in aircraft structural part Y Li, W Wang, X Liu, Y Ma International Journal of Computer Integrated Manufacturing 27 (1), 1-19, 2014 | 33 | 2014 |
| A region-based 3+ 2-axis machining toolpath generation method for freeform surface X Liu, Y Li, Q Li The International Journal of Advanced Manufacturing Technology 97, 1149-1163, 2018 | 31 | 2018 |
| Multimode tool tip dynamics prediction based on transfer learning X Liu, Y Li, G Chen Robotics and Computer-Integrated Manufacturing 57, 146-154, 2019 | 27 | 2019 |
| A data-drivenparameter planning method for structural Parts NC machining T Deng, Y Li, X Liu, P Wang, K Lu Robotics and Computer-Integrated Manufacturing 68, 102080, 2021 | 26 | 2021 |
| Combining dynamic machining feature with function blocks for adaptive machining X Liu, Y Li, L Wang IEEE Transactions on Automation Science and Engineering 13 (2), 828-841, 2015 | 24 | 2015 |
| Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts Y Li, K Xu, X Liu, M Yang, J Gao, P Maropoulos CIRP Annals 70 (1), 195-198, 2021 | 22 | 2021 |
| A multi-perspective dynamic feature concept in adaptive NC machining of complex freeform surfaces X Liu, Y Li, J Gao The International Journal of Advanced Manufacturing Technology 82, 1259-1268, 2016 | 22 | 2016 |
| A cloud manufacturing architecture for complex parts machining X Liu, Y Li, L Wang Journal of Manufacturing Science and Engineering 137 (6), 061009, 2015 | 21 | 2015 |
| Transfer learning under conditional shift based on fuzzy residual G Chen, Y Li, X Liu IEEE Transactions on Cybernetics 52 (2), 960-970, 2020 | 20 | 2020 |
| A dynamic feature–based operation planning method for 2.5-axis numerical control machining of complex structural parts X Liu, Y Li, L Tang Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2015 | 18 | 2015 |
| Laplace neural operator for complex geometries G Chen, X Liu, Y Li, Q Meng, L Chen arXiv preprint arXiv:2302.08166, 2023 | 17* | 2023 |
| Predicting part deformation based on deformation force data using Physics-informed Latent Variable Model Z Zhao, Y Li, C Liu, X Liu Robotics and Computer-Integrated Manufacturing 72, 102204, 2021 | 17 | 2021 |
| Federated learning-based collaborative manufacturing for complex parts T Deng, Y Li, X Liu, L Wang Journal of Intelligent Manufacturing 34 (7), 3025-3038, 2023 | 16 | 2023 |
| Physics-informed neural networks with weighted losses by uncertainty evaluation for accurate and stable prediction of manufacturing systems J Hua, Y Li, C Liu, P Wan, X Liu IEEE Transactions on Neural Networks and Learning Systems, 2023 | 14 | 2023 |