| Data poisoning attacks on federated machine learning G Sun, Y Cong, J Dong, Q Wang, L Liu, J Liu IEEE Internet of Things Journal, 2021 | 202 | 2021 |
| What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation J Dong, Y Cong, G Sun, B Zhong, X Xu Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 159 | 2020 |
| Where and How to Transfer: Knowledge Aggregation-Induced Transferability Perception for Unsupervised Domain Adaptation J Dong, Y Cong, G Sun, Z Fang, Z Ding IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 | 141 | 2021 |
| Federated Class-Incremental Learning J Dong, L Wang, Z Fang, G Sun, S Xu, X Wang, Q Zhu Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 125 | 2022 |
| NTIRE 2023 challenge on efficient super-resolution: Methods and results Y Li, Y Zhang, R Timofte, L Van Gool, L Yu, Y Li, X Li, T Jiang, Q Wu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 116 | 2023 |
| Is Out-of-Distribution Detection Learnable? Z Fang, Y Li, J Lu, J Dong, B Han, F Liu Advances in Neural Information Processing Systems (NeurIPS) 35, Outstanding …, 2022 | 106 | 2022 |
| What and how: generalized lifelong spectral clustering via dual memory G Sun, Y Cong, J Dong, Y Liu, Z Ding, H Yu IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021 | 94 | 2021 |
| Confident Anchor-Induced Multi-Source Free Domain Adaptation J Dong, Z Fang, A Liu, G Sun, T Liu Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 76 | 2021 |
| Semantic-Transferable Weakly-Supervised Endoscopic Lesions Segmentation J Dong, Y Cong, G Sun, D Hou Proceedings of the IEEE International Conference on Computer Vision, 10712-10721, 2019 | 59 | 2019 |
| CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation J Dong, Y Cong, G Sun, Y Liu, X Xu European Conference on Computer Vision (ECCV 2020), 745-762, 2020 | 54 | 2020 |
| Mm-llms: Recent advances in multimodal large language models D Zhang, Y Yu, C Li, J Dong, D Su, C Chu, D Yu Proceedings of the 62st Annual Meeting of the Association for Computational …, 2024 | 53 | 2024 |
| Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation J Dong, Y Cong, G Sun, Y Yang, X Xu, Z Ding IEEE Transactions on Circuits and Systems for Video Technology 31 (5), 2020-2033, 2021 | 43 | 2021 |
| BoW3D: Bag of Words for Real-time Loop Closing in 3D LiDAR SLAM Y Cui, Y Zhang, X Chen, J Dong, Q Wu, F Zhu IEEE Robotics and Automation Letters, 2022 | 41 | 2022 |
| Federated Incremental Semantic Segmentation J Dong, D Zhang, Y Cong, W Cong, H Ding, D Dai Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| L3DOC: Lifelong 3D object classification Y Liu, Y Cong, G Sun, T Zhang, J Dong, H Liu IEEE Transactions on Image Processing 30, 7486-7498, 2021 | 31 | 2021 |
| Efficient deep models for real-time 4k image super-resolution. NTIRE 2023 benchmark and report MV Conde, E Zamfir, R Timofte, D Motilla, C Liu, Z Zhang, Y Peng, Y Lin, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 25 | 2023 |
| Link3d: Linear keypoints representation for 3d lidar point cloud Y Cui, Y Zhang, J Dong, H Sun, F Zhu IEEE Robotics and Automation Letters, 2022 | 22 | 2022 |
| I3DOL: Incremental 3d object learning without catastrophic forgetting J Dong, Y Cong, G Sun, B Ma, L Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6066-6074, 2021 | 22 | 2021 |
| No One Left Behind: Real-World Federated Class-Incremental Learning J Dong, H Li, Y Cong, G Sun, Y Zhang, L Van Gool IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024 | 21 | 2024 |
| Heterogeneous Forgetting Compensation for Class-Incremental Learning J Dong, W Liang, Y Cong, G Sun Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023 | 19 | 2023 |
Gan SunProfessor, South China University of Technology在 scut.edu.cn 的电子邮件经过验证
