A deep learning method for change detection in synthetic aperture radar images Y Li, C Peng, Y Chen, L Jiao, L Zhou, R Shang IEEE Transactions on Geoscience and Remote Sensing 57 (8), 5751-5763, 2019 | 157 | 2019 |
Densely based multi-scale and multi-modal fully convolutional networks for high-resolution remote-sensing image semantic segmentation C Peng, Y Li, L Jiao, Y Chen, R Shang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 110 | 2019 |
Quantum optimization and quantum learning: A survey Y Li, M Tian, G Liu, C Peng, L Jiao Ieee Access 8, 23568-23593, 2020 | 99 | 2020 |
A study of generative large language model for medical research and healthcare C Peng, X Yang, A Chen, KE Smith, N PourNejatian, AB Costa, C Martin, ... NPJ digital medicine 6 (1), 210, 2023 | 98 | 2023 |
Efficient convolutional neural architecture search for remote sensing image scene classification C Peng, Y Li, L Jiao, R Shang IEEE Transactions on Geoscience and Remote Sensing 59 (7), 6092-6105, 2020 | 68 | 2020 |
Recnas: Resource-constrained neural architecture search based on differentiable annealing and dynamic pruning C Peng, Y Li, R Shang, L Jiao IEEE Transactions on Neural Networks and Learning Systems 35 (2), 2805-2819, 2022 | 18 | 2022 |
Clinical concept and relation extraction using prompt-based machine reading comprehension C Peng, X Yang, Z Yu, J Bian, WR Hogan, Y Wu Journal of the American Medical Informatics Association 30 (9), 1486-1493, 2023 | 16 | 2023 |
Adversarial reconstruction-classification networks for PolSAR image classification Y Chen, Y Li, L Jiao, C Peng, X Zhang, R Shang Remote Sensing 11 (4), 415, 2019 | 12 | 2019 |
RSBNet: One-shot neural architecture search for a backbone network in remote sensing image recognition C Peng, Y Li, R Shang, L Jiao Neurocomputing 537, 110-127, 2023 | 11 | 2023 |
Me llama: Foundation large language models for medical applications Q Xie, Q Chen, A Chen, C Peng, Y Hu, F Lin, X Peng, J Huang, J Zhang, ... arXiv preprint arXiv:2402.12749, 2024 | 10 | 2024 |
Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction C Peng, XI Yang, KE Smith, Z Yu, A Chen, J Bian, Y Wu Journal of biomedical informatics 153, 104630, 2024 | 8 | 2024 |
A lightweight top-down multi-person pose estimation method based on symmetric transformation and global matching Y Li, D Yang, Y Chen, C Peng, Z Sun, L Jiao IEEE Access 10, 22112-22122, 2022 | 6 | 2022 |
Spatial fuzzy clustering and deep auto-encoder for unsupervised change detection in synthetic aperture radar images Y Li, L Zhou, C Peng, L Jiao IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 6 | 2018 |
A surrogate model assisted quantum-inspired evolutionary algorithm for hyperparameter optimization in machine learning C Peng, Y Li, L Cao, L Jiao 2019 IEEE congress on evolutionary computation (CEC), 1060-1067, 2019 | 5 | 2019 |
On the impact of cross-domain data on German language models A Dada, A Chen, C Peng, KE Smith, A Idrissi-Yaghir, CM Seibold, J Li, ... arXiv preprint arXiv:2310.07321, 2023 | 3 | 2023 |
Optimization based on nonlinear transformation in decision space Y Li, C Peng, Y Wang, L Jiao Soft Computing 23, 3571-3590, 2019 | 2 | 2019 |
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need C Peng, X Yang, A Chen, Z Yu, KE Smith, AB Costa, MG Flores, J Bian, ... Journal of the American Medical Informatics Association, ocae078, 2024 | 1 | 2024 |
Polarimetric SAR Image Classification Based on Edge-Aware Dual Branch Fully Convolutional Network F Gao, Y Chen, X Chai, B Wu, C Peng, R Xing, Y Li 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 4728 …, 2021 | 1 | 2021 |
UF-HOBI at" Discharge Me!": A Hybrid Solution for Discharge Summary Generation Through Prompt-based Tuning of GatorTronGPT Models M Lyu, C Peng, D Paredes, Z Chen, A Chen, J Bian, Y Wu arXiv preprint arXiv:2407.15359, 2024 | | 2024 |
Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias Z Yu, C Peng, X Yang, C Dang, P Adekkanattu, BG Patra, Y Peng, ... Journal of biomedical informatics 153, 104642, 2024 | | 2024 |