| Robust point cloud registration framework based on deep graph matching K Fu, S Liu, X Luo, M Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 249 | 2021 |
| Transmef: A transformer-based multi-exposure image fusion framework using self-supervised multi-task learning L Qu, S Liu, M Wang, Z Song Proceedings of the AAAI conference on artificial intelligence 36 (2), 2126-2134, 2022 | 134 | 2022 |
| Dgmil: Distribution guided multiple instance learning for whole slide image classification L Qu, X Luo, S Liu, M Wang, Z Song International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 55 | 2022 |
| TransFuse: A unified transformer-based image fusion framework using self-supervised learning L Qu, S Liu, M Wang, S Li, S Yin, Q Qiao, Z Song arXiv preprint arXiv:2201.07451, 2022 | 28 | 2022 |
| Pos-bert: Point cloud one-stage bert pre-training K Fu, P Gao, SL Liu, L Qu, L Gao, M Wang Expert Systems with Applications 240, 122563, 2024 | 24 | 2024 |
| Rethinking multi-exposure image fusion with extreme and diverse exposure levels: A robust framework based on Fourier transform and contrastive learning L Qu, S Liu, M Wang, Z Song Information Fusion 92, 389-403, 2023 | 18 | 2023 |
| A learnable self-supervised task for unsupervised domain adaptation on point clouds X Luo, S Liu, K Fu, M Wang, Z Song arXiv preprint arXiv:2104.05164, 2021 | 18 | 2021 |
| Trans2Fuse: Empowering image fusion through self-supervised learning and multi-modal transformations via transformer networks L Qu, S Liu, M Wang, S Li, S Yin, Z Song Expert Systems with Applications 236, 121363, 2024 | 15 | 2024 |
| Reducing domain gap in frequency and spatial domain for cross-modality domain adaptation on medical image segmentation S Liu, S Yin, L Qu, M Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 1719-1727, 2023 | 15 | 2023 |
| A learnable self-supervised task for unsupervised domain adaptation on point cloud classification and segmentation S Liu, X Luo, K Fu, M Wang, Z Song Frontiers of Computer Science 17 (6), 176708, 2023 | 12 | 2023 |
| A structure-aware framework of unsupervised cross-modality domain adaptation via frequency and spatial knowledge distillation S Liu, S Yin, L Qu, M Wang, Z Song IEEE Transactions on Medical Imaging, 2023 | 12 | 2023 |
| AIM-MEF: Multi-exposure image fusion based on adaptive information mining in both spatial and frequency domains L Qu, S Yin, S Liu, X Liu, M Wang, Z Song Expert Systems with Applications 223, 119909, 2023 | 9 | 2023 |
| Group-in-group relation-based transformer for 3d point cloud learning S Liu, K Fu, M Wang, Z Song Remote Sensing 14 (7), 1563, 2022 | 9 | 2022 |
| Robust point cloud registration framework based on deep graph matching. 2021 IEEE K Fu, S Liu, X Luo, M Wang CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8889-8898, 2021 | 8 | 2021 |
| Wavefuse: A unified deep framework for image fusion with discrete wavelet transform S Liu, M Wang, Z Song arXiv preprint arXiv:2007.14110, 2020 | 8 | 2020 |
| Boosting point-bert by multi-choice tokens K Fu, M Yuan, S Liu, M Wang IEEE Transactions on Circuits and Systems for Video Technology 34 (1), 438-447, 2023 | 7 | 2023 |
| Wavelet-based self-supervised learning for multi-scene image fusion S Liu, L Qu, Q Qiao, M Wang, Z Song Neural Computing and Applications 34 (18), 15689-15704, 2022 | 7 | 2022 |
| WaveFuse: a unified unsupervised framework for image fusion with discrete wavelet transform S Liu, M Wang, Z Song Neural Information Processing: 28th International Conference, ICONIP 2021 …, 2021 | 2 | 2021 |
