| LT-net: label transfer by learning reversible voxel-wise correspondence for one-shot medical image segmentation S Wang, S Cao, D Wei, R Wang, K Ma, L Wang, D Meng, Y Zheng IEEE Computer Vision and Pattern Recognition (CVPR), 2020, 9162-9171, 2020 | 82 | 2020 |
| Weakly supervised lesion detection from fundus images R Wang, B Chen, D Meng, L Wang IEEE Transactions on Medical Imaging 38 (6), 1501-1512, 2018 | 40 | 2018 |
| Rectifying supporting regions with mixed and active supervision for rib fracture recognition YJ Huang, W Liu, X Wang, Q Fang, R Wang, Y Wang, H Chen, H Chen, ... IEEE transactions on medical imaging 39 (12), 3843-3854, 2020 | 27 | 2020 |
| Pairwise learning for medical image segmentation R Wang, S Cao, K Ma, Y Zheng, D Meng Medical Image Analysis 67, 101876, 2021 | 22 | 2021 |
| Neighbor matching for semi-supervised learning R Wang, Y Wu, H Chen, L Wang, D Meng Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021 …, 2021 | 20 | 2021 |
| Imbalanced Semi-supervised Learning with Bias Adaptive Classifier R Wang, X Jia, Q Wang, Y Wu, D Meng International Conference on Learning Representations (ICLR), 2023, 2023 | 14 | 2023 |
| CBA: Improving Online Continual Learning via Continual Bias Adaptor Q Wang, R Wang, Y Wu, X Jia, D Meng IEEE/CVF International Conference on Computer Vision (ICCV), 2023, 2023 | 13 | 2023 |
| Meta feature modulator for long-tailed recognition R Wang, K Hu, Y Zhu, J Shu, Q Zhao, D Meng arXiv preprint arXiv:2008.03428, 2020 | 11 | 2020 |
| Pairwise semantic segmentation via conjugate fully convolutional network R Wang, S Cao, K Ma, D Meng, Y Zheng Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019 …, 2019 | 11 | 2019 |
| Unsupervised learning of local discriminative representation for medical images H Chen, J Li, R Wang, Y Huang, F Meng, D Meng, Q Peng, L Wang Information Processing in Medical Imaging (IPMI), 2021, 373-385, 2021 | 7 | 2021 |
| Unsupervised local discrimination for medical images H Chen, R Wang, X Wang, J Li, Q Fang, H Li, J Bai, Q Peng, D Meng, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 5 | 2023 |
| Label Hierarchy Transition: Delving into Class Hierarchies to Enhance Deep Classifiers R Wang, K Xiao, X Jia, X Han, D Meng arXiv preprint arXiv:2112.02353, 2021 | 5 | 2021 |
| Lrthr-net: a low-resolution-to-high-resolution framework to iteratively refine the segmentation of thyroid nodule in ultrasound images H Chen, S Song, X Wang, R Wang, D Meng, L Wang Segmentation, Classification, and Registration of Multi-modality Medical …, 2021 | 5 | 2021 |
| Relational Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship Q Wang, R Wang, Y Li, D Wei, H Wang, K Ma, Y Zheng, D Meng IEEE Transactions on Multimedia, 2024 | 3 | 2024 |
| Method and apparatus for segmenting a medical image, and storage medium S Cao, R Wang, K Ma, Y Zheng US Patent 11,887,311, 2024 | 3 | 2024 |
| Revisiting experience replay: Continual learning by adaptively tuning task-wise relationship Q Wang, Y Li, D Wei, R Wang, K Ma, Y Zheng, D Meng arXiv preprint arXiv:2112.15402, 2021 | 3 | 2021 |
| Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction Y Wu, LK Huang, R Wang, D Meng, Y Wei International Conference on Learning Representations (ICLR), 2024, 2023 | 2 | 2023 |
| Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit X Zhang, B Qian, Y Li, Z Gao, C Guan, R Wang, Y Zheng, H Zheng, C Li IEEE International Conference on Data Mining (ICDM), 2022, 713-722, 2022 | 2 | 2022 |
| Delving into the hierarchical structure for efficient large-scale bi-level learning X Jia, R Wang, D Meng, X Feng | 1 | 2022 |
| Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective Q Wang, R Wang, Y Wu, X Jia, M Zhou, D Meng arXiv preprint arXiv:2408.13991, 2024 | | 2024 |
Deyu MengProfessor, Xi'an Jiaotong University在 mail.xjtu.edu.cn 的电子邮件经过验证
