| Ensemble attention distillation for privacy-preserving federated learning X Gong, A Sharma, S Karanam, Z Wu, T Chen, D Doermann, A Innanje Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 84 | 2021 |
| Anti-bandit neural architecture search for model defense H Chen, B Zhang, S Xue, X Gong, H Liu, R Ji, D Doermann Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 43 | 2020 |
| Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation X Gong, A Sharma, S Karanam, Z Wu, T Chen, D Doermann, A Innanje | 35 | 2022 |
| PREF: Predictability Regularized Neural Motion Fields L Song, X Gong, B Planche, M Zheng, D Doermann, J Yuan, T Chen, ... European Conference on Computer Vision, 664-681, 2022 | 28 | 2022 |
| Style consistent image generation for nuclei instance segmentation X Gong, S Chen, B Zhang, D Doermann Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 28 | 2021 |
| A review of recent advances of binary neural networks for edge computing W Zhao, T Ma, X Gong, B Zhang, D Doermann IEEE Journal on Miniaturization for Air and Space Systems 2 (1), 25-35, 2020 | 24 | 2020 |
| Deformable gabor feature networks for biomedical image classification X Gong, X Xia, W Zhu, B Zhang, D Doermann, L Zhuo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 22 | 2021 |
| Long-short graph memory network for skeleton-based action recognition J Huang, X Xiang, X Gong, B Zhang proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 19 | 2020 |
| Federated learning with privacy-preserving ensemble attention distillation X Gong, L Song, R Vedula, A Sharma, M Zheng, B Planche, A Innanje, ... IEEE Transactions on Medical Imaging, 2022 | 12 | 2022 |
| Amplitude suppression and direction activation in networks for 1-bit faster R-CNN S Xu, Z Liu, X Gong, C Liu, M Mao, B Zhang Proceedings of the 4th International Workshop on Embedded and Mobile Deep …, 2020 | 12 | 2020 |
| Uncertainty learning towards unsupervised deformable medical image registration X Gong, L Khaidem, W Zhu, B Zhang, D Doermann Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 11 | 2022 |
| Efficient structured pruning based on deep feature stabilization S Xu, H Chen, X Gong, K Liu, J Lü, B Zhang Neural Computing and Applications 33 (13), 7409-7420, 2021 | 10 | 2021 |
| Self-supervised Human Mesh Recovery with Cross-Representation Alignment X Gong, M Zheng, B Planche, S Karanam, T Chen, D Doermann, Z Wu European Conference on Computer Vision, 212-230, 2022 | 9 | 2022 |
| Progressive multi-view human mesh recovery with self-supervision X Gong, L Song, M Zheng, B Planche, T Chen, J Yuan, D Doermann, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (1), 676-684, 2023 | 5 | 2023 |
| Harnessing Low-Frequency Neural Fields for Few-Shot View Synthesis L Song, Z Li, X Gong, L Chen, Z Chen, Y Xu, J Yuan arXiv preprint arXiv:2303.08370, 2023 | 5 | 2023 |
| Self-supervised 3d patient modeling with multi-modal attentive fusion M Zheng, B Planche, X Gong, F Yang, T Chen, Z Wu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| Fast and unsupervised neural architecture evolution for visual representation learning S Xue, H Chen, C Xie, B Zhang, X Gong, D Doermann IEEE Computational Intelligence Magazine 16 (3), 22-32, 2021 | 4 | 2021 |
| Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation T Luan, Z Li, L Chen, X Gong, L Chen, Y Xu, J Yuan arXiv preprint arXiv:2403.01619, 2024 | 1 | 2024 |
| Federated Learning via Input-Output Collaborative Distillation X Gong, S Li, Y Bao, B Yao, Y Huang, Z Wu, B Zhang, Y Zheng, ... arXiv preprint arXiv:2312.14478, 2023 | | 2023 |
| Exploring the Knowledge Transferred by Response-Based Teacher-Student Distillation L Song, X Gong, H Zhou, J Chen, Q Zhang, D Doermann, J Yuan Proceedings of the 31st ACM International Conference on Multimedia, 2704-2713, 2023 | | 2023 |
David DoermannProfessor, University at BuffaloVerified email at buffalo.edu
