| Cost-driven scheduling of service processes in hybrid cloud with VM deployment and interval-based charging H Liang, Y Du, E Gao, J Sun Future Generation Computer Systems 107, 351-367, 2020 | 15 | 2020 |
| M3AE: Multimodal representation learning for brain tumor segmentation with missing modalities H Liu, D Wei, D Lu, J Sun, L Wang, Y Zheng Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1657-1665, 2023 | 11 | 2023 |
| Unsupervised representation learning meets pseudo-label supervised self-distillation: A new approach to rare disease classification J Sun, D Wei, K Ma, L Wang, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 10 | 2021 |
| Boost supervised pretraining for visual transfer learning: Implications of self-supervised contrastive representation learning J Sun, D Wei, K Ma, L Wang, Y Zheng Proceedings of the AAAI Conference on Artificial Intelligence 36 (2), 2307-2315, 2022 | 6 | 2022 |
| Lesion guided explainable few weak-shot medical report generation J Sun, D Wei, L Wang, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Category-level regularized unlabeled-to-labeled learning for semi-supervised prostate segmentation with multi-site unlabeled data Z Xu, D Lu, J Yan, J Sun, J Luo, D Wei, S Frisken, Q Li, Y Zheng, RK Tong International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray J Sun, D Wei, Z Xu, D Lu, H Liu, L Wang, Y Zheng International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance … J Sun, D Wei, L Wang, Y Zheng Medical Image Analysis, 103102, 2024 | | 2024 |
| An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases F Weng, Y Ma, J Sun, S Shan, Q Li, J Zhu, Y Wang, Y Xu arXiv preprint arXiv:2211.10858, 2022 | | 2022 |
Yefeng ZhengTencent, Shenzhen, China, IEEE Fellow, AIMBE FellowVerified email at tencent.com
