| Prototype completion for few-shot learning B Zhang, X Li, Y Ye, S Feng IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 6 | 2023 |
| Multi-view knowledge graph fusion via knowledge-aware attentional graph neural network Z Huang, X Li, Y Ye, B Zhang, G Xu, W Gan Applied Intelligence 53 (4), 3652-3671, 2023 | 7 | 2023 |
| SGMNet: Scene graph matching network for few-shot remote sensing scene classification B Zhang, S Feng, X Li, Y Ye, R Ye, C Luo, H Jiang IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 62 | 2022 |
| MetaNODE: Prototype optimization as a neural ODE for few-shot learning B Zhang, X Li, S Feng, Y Ye, R Ye Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 9014-9021, 2022 | 25 | 2022 |
| MSTCGAN: Multiscale time conditional generative adversarial network for long-term satellite image sequence prediction K Dai, X Li, Y Ye, S Feng, D Qin, R Ye IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 15 | 2022 |
| Experimental study on generative adversarial network for precipitation nowcasting C Luo, X Li, Y Ye, S Feng, MK Ng IEEE Transactions on Geoscience and Remote Sensing 60, 1-20, 2022 | 18 | 2022 |
| LWCDnet: A lightweight network for efficient cloud detection in remote sensing images C Luo, S Feng, X Yang, Y Ye, X Li, B Zhang, Z Chen, Y Quan IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022 | 22 | 2022 |
| AM-ConvGRU: a spatio-temporal model for typhoon path prediction G Xu, D Xian, P Fournier-Viger, X Li, Y Ye, X Hu Neural Computing and Applications 34 (8), 5905-5921, 2022 | 12 | 2022 |
| PredRANN: The spatiotemporal attention convolution recurrent neural network for precipitation nowcasting C Luo, X Zhao, Y Sun, X Li, Y Ye Knowledge-Based Systems 239, 107900, 2022 | 22 | 2022 |
| Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval Y Sun, Y Ye, X Li, S Feng, B Zhang, J Kang, K Dai Knowledge-Based Systems 239, 107807, 2022 | 30 | 2022 |
| MetaDT: meta decision tree for interpretable few-shot learning B Zhang, H Jiang, X Li, S Feng, Y Ye, R Ye arXiv preprint arXiv:2203.01482, 2022 | 8 | 2022 |
| SAF-Net: A spatio-temporal deep learning method for typhoon intensity prediction G Xu, K Lin, X Li, Y Ye Pattern Recognition Letters 155, 121-127, 2022 | 16 | 2022 |
| Smilegnn: drug–drug interaction prediction based on the smiles and graph neural network X Han, R Xie, X Li, J Li Life 12 (2), 319, 2022 | 21 | 2022 |
| RAP-Net: Region attention predictive network for precipitation nowcasting Z Zhang, C Luo, S Feng, R Ye, Y Ye, X Li Geoscientific Model Development Discussions 2022, 1-19, 2022 | 8 | 2022 |
| Multisensor fusion and explicit semantic preserving-based deep hashing for cross-modal remote sensing image retrieval Y Sun, S Feng, Y Ye, X Li, J Kang, Z Huang, C Luo IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 32 | 2021 |
| Multisource heterogeneous domain adaptation with conditional weighting adversarial network Y Yao, X Li, Y Zhang, Y Ye IEEE Transactions on Neural Networks and Learning Systems 34 (4), 2079-2092, 2021 | 29 | 2021 |
| MLCE: A Multi-Label crotch ensemble method for multi-label classification Y Yao, Y Li, Y Ye, X Li International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021 | 4 | 2021 |
| A novel LSTM model with interaction dual attention for radar echo extrapolation C Luo, X Li, Y Wen, Y Ye, X Zhang Remote Sensing 13 (2), 164, 2021 | 40 | 2021 |
| Prototype completion with primitive knowledge for few-shot learning B Zhang, X Li, Y Ye, Z Huang, L Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 117 | 2021 |
| Top-aware reinforcement learning based recommendation F Liu, R Tang, H Guo, X Li, Y Ye, X He Neurocomputing 417, 255-269, 2020 | 20 | 2020 |
Michael Kwok-Po NgSIAM Fellow, AAIA Fellow, Dean of Science, Chair Professor in Mathematics & in Data Science, HKBU在 hkbu.edu.hk 的电子邮件经过验证
