| Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches MM Rahaman, C Li, Y Yao, F Kulwa, MA Rahman, Q Wang, S Qi, F Kong, ... Journal of X-ray Science and Technology 28 (5), 821-839, 2020 | 287 | 2020 |
| The Synthinel-1 dataset: A collection of high resolution synthetic overhead imagery for building segmentation F Kong, B Huang, K Bradbury, J Malof Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 46 | 2020 |
| Transfer learning based classification of cervical cancer immunohistochemistry images C Li, D Xue, X Zhou, J Zhang, H Zhang, Y Yao, F Kong, L Zhang, H Sun Proceedings of the third international symposium on image computing and …, 2019 | 32 | 2019 |
| Efficient Classification of Very Large Images with Tiny Objects F Kong, R Henao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 27 | 2022 |
| Cervical histopathology image classification using ensembled transfer learning C Li, D Xue, F Kong, Z Hu, H Chen, Y Yao, H Sun, L Zhang, J Zhang, ... Information Technology in Biomedicine, 26-37, 2019 | 15 | 2019 |
| Physics-enhanced machine learning for virtual fluorescence microscopy CL Cooke, F Kong, A Chaware, KC Zhou, K Kim, R Xu, DM Ando, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 13 | 2021 |
| Quantum Tensor Network in Machine Learning:An Application to Tiny Object Classification F Kong, XY Liu, R Henao NeurIPS 2020 Workshop on Quantum Tensor Networks in Machine Learning, 2020 | 10 | 2020 |
| Proactive pseudo-intervention: Causally informed contrastive learning for interpretable vision models D Wang, Y Yang, C Tao, Z Gan, L Chen, F Kong, R Henao, L Carin arXiv preprint arXiv:2012.03369, 2020 | 9 | 2020 |
| Mitigating Test-Time Bias for Fair Image Retrieval F Kong, S Yuan, W Hao, R Henao Advances in Neural Information Processing Systems 37, 2023 | 7 | 2023 |
| Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results F Kong, C Chen, B Huang, LM Collins, K Bradbury, JM Malof IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 7 | 2019 |
| Neural Insights for Digital Marketing Content Design F Kong, Y Li, H Nassif, T Fiez, R Henao, S Chakrabarti Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 6 | 2023 |
| Microscopic machine vision based degradation monitoring of low-voltage electromagnetic coil insulation using ensemble learning in a membrane computing framework C Li, F Kong, K Wang, A Xu, G Zhang, N Xu, Z Liu, H Guo, X Wang, ... IEEE Access 7, 97216-97241, 2019 | 2 | 2019 |
| Degradation monitoring of low-voltage electromagnetic coil insulation based on microscopic image analysis K Wang, H Guo, A Xu, Z Liu, C Li, F Kong, S Qi 2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018 | 2 | 2018 |
| Hyperbolic learning with synthetic captions for open-world detection F Kong, Y Chen, J Cai, D Modolo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Machine Learning Computer Vision for Point of Care Decision Support of Echocardiographic Identification of Hypertrophic Cardiomyopathy S Vemulapalli, F Kong, F Alenezi, A Giczewska, L Kang, K Chiswell, ... Circulation 146 (Suppl_1), A14817-A14817, 2022 | | 2022 |
