| Spatial Knowledge-Infused Hierarchical Learning: An Application in Flood Mapping on Earth Imagery Z Xu, T Xiao, W He, Y Wang, Z Jiang Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 8 | 2023 |
| A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space W He, Z Jiang, T Xiao, Z Xu, S Chen, R Fick, M Medina, C Angelini Advances in Neural Information Processing Systems 36, 2023 | 7 | 2023 |
| Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery Z Xu, T Xiao, W He, Y Wang, Z Jiang, S Chen, Y Xie, X Jia, D Yan, Y Zhou Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22457 …, 2024 | 2 | 2024 |
| Infusing Spatial Knowledge into Deep Learning for Earth Science: A Hydrological Application Z Xu, T Xiao, W He, Y Wang, Z Jiang NeurIPS 2023 AI for Science Workshop, 2023 | 1 | 2023 |
| Foundation Models for Spatiotemporal Tasks in the Physical World Z Jiang, Y Wang, Z Xu Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
| XTSFormer: Cross-Temporal-Scale Transformer for Irregular Time Event Prediction T Xiao, Z Xu, W He, J Su, Y Zhang, R Opoku, R Ison, J Petho, J Bian, ... arXiv preprint arXiv:2402.02258, 2024 | | 2024 |
Zhe JiangDepartment of Computer & Information Science & Engineering, University of Floridaufl.edu의 이메일 확인됨
