| Domain specialization as the key to make large language models disruptive: A comprehensive survey C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... arXiv preprint arXiv:2305.18703 2305, 2023 | 58* | 2023 |
| Physics-guided graph diffusion network for combining heterogeneous simulated data: An application in predicting stream water temperature X Jia, S Chen, C Zheng, Y Xie, Z Jiang, N Kalanat Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 7 | 2023 |
| Application of Machine learning to predict RF heating of cardiac leads during magnetic resonance imaging at 1.5 T and 3 T: A simulation study X Chen, C Zheng, L Golestanirad Journal of Magnetic Resonance 349, 107384, 2023 | 2* | 2023 |
| Reconstructing Turbulent Flows Using Spatio-temporal Physical Dynamics S Chen, T Bao, P Givi, C Zheng, X Jia ACM Transactions on Intelligent Systems and Technology 15 (1), 1-18, 2024 | 1 | 2024 |
| Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach* C Zheng, X Chen, BT Nguyen, P Sanpitak, J Vu, U Bagci, L Golestanirad 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 1 | 2021 |
| Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement for Turbulent Flow Reconstruction. S Chen, P Givi, C Zheng, X Jia Bulletin of the American Physical Society, 2023 | | 2023 |
| Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes C Zheng, Y Wang, X Jia 2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), 97-103, 2022 | | 2022 |
Xiaowei JiaUniversity of Pittsburgh在 pitt.edu 的电子邮件经过验证
