| Temporal attention unit: Towards efficient spatiotemporal predictive learning C Tan, Z Gao, L Wu, Y Xu, J Xia, S Li, SZ Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 123 | 2023 |
| Ship classification in SAR images improved by AIS knowledge transfer H Lang, S Wu, Y Xu IEEE Geoscience and Remote Sensing Letters 15 (3), 439-443, 2018 | 103 | 2018 |
| Conditional local convolution for spatio-temporal meteorological forecasting H Lin, Z Gao, Y Xu, L Wu, L Li, SZ Li Proceedings of the AAAI conference on artificial intelligence 36 (7), 7470-7478, 2022 | 97 | 2022 |
| Ship classification in SAR images with geometric transfer metric learning Y Xu, H Lang IEEE Transactions on Geoscience and Remote Sensing 59 (8), 6799-6813, 2020 | 38 | 2020 |
| Protein language models and structure prediction: Connection and progression B Hu, J Xia, J Zheng, C Tan, Y Huang, Y Xu, SZ Li arXiv preprint arXiv:2211.16742, 2022 | 34 | 2022 |
| Discriminative adaptation regularization framework-based transfer learning for ship classification in SAR images Y Xu, H Lang, L Niu, C Ge IEEE Geoscience and Remote Sensing Letters 16 (11), 1786-1790, 2019 | 32 | 2019 |
| DMT-EV: an explainable deep network for dimension reduction Z Zang, S Cheng, H Xia, L Li, Y Sun, Y Xu, L Shang, B Sun, SZ Li IEEE transactions on visualization and computer graphics 30 (3), 1710-1727, 2022 | 26 | 2022 |
| Distribution shift metric learning for fine-grained ship classification in SAR images Y Xu, H Lang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 25 | 2020 |
| Gnn cleaner: Label cleaner for graph structured data J Xia, H Lin, Y Xu, C Tan, L Wu, S Li, SZ Li IEEE Transactions on Knowledge and Data Engineering 36 (2), 640-651, 2023 | 19 | 2023 |
| Deep manifold embedding of attributed graphs Z Zang, S Li, D Wu, J Guo, Y Xu, SZ Li Neurocomputing 514, 83-93, 2022 | 14* | 2022 |
| Ot cleaner: Label correction as optimal transport J Xia, C Tan, L Wu, Y Xu, SZ Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 14 | 2022 |
| Towards robust graph neural networks against label noise J Xia, H Lin, Y Xu, L Wu, Z Gao, S Li, SZ Li | 14 | 2021 |
| Udrn: unified dimensional reduction neural network for feature selection and feature projection Z Zang, Y Xu, L Lu, Y Geng, S Yang, SZ Li Neural Networks 161, 626-637, 2023 | 11 | 2023 |
| Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction Y Xu, Z Zang, J Xia, C Tan, Y Geng, SZ Li Communications Biology 6 (1), 369, 2023 | 9 | 2023 |
| Learning complete protein representation by deep coupling of sequence and structure B Hu, C Tan, J Xia, J Zheng, Y Huang, L Wu, Y Liu, Y Xu, SZ Li bioRxiv, 2023.07. 05.547769, 2023 | 8 | 2023 |
| Non-equispaced fourier neural solvers for pdes H Lin, L Wu, Y Xu, Y Huang, S Li, G Zhao, SZ Li arXiv preprint arXiv:2212.04689, 2022 | 8 | 2022 |
| Distribution discrepancy maximization metric learning for ship classification in synthetic aperture radar images Y Xu, H Lang, X Chai IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 7 | 2019 |
| Distance metric learning for ship classification in SAR images Y Xu, H Lang, X Chai, L Ma Image and Signal Processing for Remote Sensing XXIV 10789, 441-451, 2018 | 6 | 2018 |
| Fgbert: Function-driven pre-trained gene language model for metagenomics CR Duan, Z Zang, Y Xu, H He, Z Liu, S Li, Z Song, JS Zheng, SZ Li arXiv preprint arXiv:2402.16901, 2024 | 5 | 2024 |
| Optical remote sensing ship image classification based on deep feature combined distance metric learning S Zhao, Y Xu, W Li, H Lang Journal of Coastal Research 102 (SI), 82-87, 2020 | 5 | 2020 |