| 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 | 78 | 2019 |
| 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 | 49 | 2021 |
| Deep transfer learning for conditional shift in regression X Liu, Y Li, Q Meng, G Chen Knowledge-Based Systems 227, 107216, 2021 | 44 | 2021 |
| Multimode tool tip dynamics prediction based on transfer learning X Liu, Y Li, G Chen Robotics and Computer-Integrated Manufacturing 57, 146-154, 2019 | 29 | 2019 |
| 6+ X locating principle based on dynamic mass centers of structural parts machined by responsive fixtures X Hao, Y Li, G Chen, C Liu International Journal of Machine Tools and Manufacture 125, 112-122, 2018 | 28 | 2018 |
| ForceNet: An offline cutting force prediction model based on neuro-physical learning approach K Xu, Y Li, J Zhang, G Chen Journal of Manufacturing Systems 61, 1-15, 2021 | 27 | 2021 |
| Learning neural operators on riemannian manifolds G Chen, X Liu, Y Li, Q Meng, L Chen arXiv preprint arXiv:2302.08166, 2023 | 22* | 2023 |
| Transfer Learning Under Conditional Shift Based on Fuzzy Residual G Chen, Y Li, X Liu IEEE Transactions on Cybernetics, 2020 | 21 | 2020 |
| Sampling via the aggregation value for data-driven manufacturing X Liu, G Chen, Y Li, L Chen, Q Meng, C Mehdi-Souzani National Science Review 9 (11), nwac201, 2022 | 13 | 2022 |
| A novel physics-informed neural operator for thermochemical curing analysis of carbon-fibre-reinforced thermosetting composites Q Meng, Y Li, X Liu, G Chen, X Hao Composite Structures 321, 117197, 2023 | 12 | 2023 |
| Residual fourier neural operator for thermochemical curing of composites G Chen, Y Li, Q Meng, J Zhou, X Hao arXiv preprint arXiv:2111.10262, 2021 | 9 | 2021 |
| Multi-source integrated fusion for surface measurement B Xiang, Y Li, G Chen, X Liu, W Yang The International Journal of Advanced Manufacturing Technology 109, 1815-1823, 2020 | 9 | 2020 |
| Transfer learning for regression via latent variable represented conditional distribution alignment X Liu, Y Li, G Chen Knowledge-Based Systems 240, 108110, 2022 | 8 | 2022 |
| Physics-guided neural operator for data-driven composites manufacturing process modelling G Chen, Y Li, X Liu, C Mehdi-Souzani, Q Meng, J Zhou, X Hao Journal of Manufacturing Systems 70, 217-229, 2023 | 7 | 2023 |
| Multiple source partial knowledge transfer for manufacturing system modelling X Liu, Y Li, L Chen, G Chen, B Zhao Robotics and Computer-Integrated Manufacturing 80, 102468, 2023 | 6 | 2023 |
| Learning neural operators on riemannian manifolds G Chen, X Liu, Q Meng, L Chen, C Liu, Y Li National Science Open 3 (6), 20240001, 2024 | 5 | 2024 |
| Physics-guided high-value data sampling method for predicting milling stability with limited experimental data L Chen, Y Li, G Chen, X Liu, C Liu Journal of Intelligent Manufacturing 35 (7), 3219-3234, 2024 | 4 | 2024 |
| Implicit multi-sensor reconstruction based on neural signed distance functions for reverse engineering G Chen, Y Li, C Mehdi-Souzani, W Yang, X Liu Procedia CIRP 119, 552-557, 2023 | 4 | 2023 |
| A kernel transfer learning based multi-sensor surface reconstruction framework for reverse engineering G Chen, Y Li, C Mehdi-Souzani, X Liu Procedia CIRP 109, 672-677, 2022 | 4 | 2022 |
| 基于 KNN 的机床刀尖点频响函数预测 张云飞， 郝小忠， 陈耿祥， 刘旭 航空制造技术 63 (10), 80-88/96, 2020 | 2 | 2020 |
Qinglu Meng南京航空航天大学博士Verified email at nuaa.edu.cn