| Contrastive brain network learning via hierarchical signed graph pooling model H Tang, G Ma, L Guo, X Fu, H Huang, L Zhan IEEE Transactions on Neural Networks and Learning Systems, 2022 | 15 | 2022 |
| Bmc@ mediaeval 2017 multimedia satellite task via regression random forest X Fu, Y Bin, L Peng, J Zhou, Y Yang, HT Shen CEUR Workshop Proceedings, 2017 | 14 | 2017 |
| Hierarchical brain embedding using explainable graph learning H Tang, L Guo, X Fu, B Qu, PM Thompson, H Huang, L Zhan 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 9 | 2022 |
| Signed graph representation learning for functional-to-structural brain network mapping H Tang, L Guo, X Fu, Y Wang, S Mackin, O Ajilore, AD Leow, ... Medical image analysis 83, 102674, 2023 | 7 | 2023 |
| A hierarchical graph learning model for brain network regression analysis H Tang, L Guo, X Fu, B Qu, O Ajilore, Y Wang, PM Thompson, H Huang, ... Frontiers in Neuroscience 16, 963082, 2022 | 6 | 2022 |
| Cfm@ mediaeval 2017 retrieving diverse social images task via re-ranking and hierarchical clustering L Peng, Y Bin, X Fu, J Zhou, Y Yang, HT Shen CEUR Workshop Proceedings, 2017 | 5 | 2017 |
| 3D bi-directional transformer U-Net for medical image segmentation X Fu, Z Sun, H Tang, EM Zou, H Huang, Y Wang, L Zhan Frontiers in Big Data 5, 1080715, 2023 | 3 | 2023 |
| Supervised Hashing with Recurrent Scaling X Fu, Y Bin, Z Wang, Q Wei, S Chen Web and Big Data: Third International Joint Conference, APWeb-WAIM 2019 …, 2019 | 1 | 2019 |
| An Exploration of Transformer and Convolution Layers in Medical Image Segmentation X Fu University of Pittsburgh, 2023 | | 2023 |
| Functional2Structural: Cross-Modality Brain Networks Representation Learning H Tang, X Fu, L Guo, Y Wang, S Mackin, O Ajilore, A Leow, P Thompson, ... arXiv preprint arXiv:2205.07854, 2022 | | 2022 |
