| CurvaNet: Geometric deep learning based on directional curvature for 3D shape analysis W He, Z Jiang, C Zhang, AM Sainju Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 36 | 2020 |
| A survey on uncertainty quantification methods for deep neural networks: An uncertainty source perspective W He, Z Jiang arXiv preprint arXiv:2302.13425, 2023 | 21 | 2023 |
| A hidden markov contour tree model for spatial structured prediction AM Sainju, W He, Z Jiang IEEE Transactions on Knowledge and Data Engineering 34 (4), 1530-1543, 2020 | 14 | 2020 |
| Quantifying and reducing registration uncertainty of spatial vector labels on earth imagery W He, Z Jiang, M Kriby, Y Xie, X Jia, D Yan, Y Zhou Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 12 | 2022 |
| An explainer for temporal graph neural networks W He, MN Vu, Z Jiang, MT Thai GLOBECOM 2022-2022 IEEE Global Communications Conference, 6384-6389, 2022 | 10 | 2022 |
| Semi-supervised learning with the em algorithm: A comparative study between unstructured and structured prediction W He, Z Jiang IEEE Transactions on Knowledge and Data Engineering 34 (6), 2912-2920, 2020 | 10 | 2020 |
| Spatial classification with limited observations based on physics-aware structural constraint AM Sainju, W He, Z Jiang, D Yan Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 898-905, 2020 | 9* | 2020 |
| 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 |
| Weakly supervised spatial deep learning for earth image segmentation based on imperfect polyline labels Z Jiang, W He, MS Kirby, AM Sainju, S Wang, LV Stanislawski, ... ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-20, 2022 | 8 | 2022 |
| Deep neural network for 3D surface segmentation based on contour tree hierarchy W He, AM Sainju, Z Jiang, D Yan Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021 | 8* | 2021 |
| 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 2023 36, 2023 | 7 | 2023 |
| Earth Imagery Segmentation on Terrain Surface with Limited Training Labels: A Semi-supervised Approach based on Physics-Guided Graph Co-Training W He, AM Sainju, Z Jiang, D Yan, Y Zhou ACM Transactions on Intelligent Systems and Technology (TIST) 13 (2), 1-22, 2022 | 7* | 2022 |
| Flood inundation mapping with limited observations based on physics-aware topography constraint AM Sainju, W He, Z Jiang, D Yan, H Chen Frontiers in big Data 4, 707951, 2021 | 3 | 2021 |
| Weakly Supervised Spatial Deep Learning based on Imperfect Vector Labels with Registration Errors Z Jiang, W He, M Kirby, S Asiri, D Yan Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 2 | 2021 |
| 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 |
| 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 | | 2024 |
| Fusing remote sensing data with spatiotemporal in situ samples for red tide (Karenia brevis) detection R Fick, M Medina, C Angelini, D Kaplan, P Gader, W He, Z Jiang, G Zheng Integrated Environmental Assessment and Management, 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 |
| Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities W He, Z Jiang arXiv preprint arXiv:2311.02485, 2023 | | 2023 |
| Deep Learning for Earth Image Segmentation based on Imperfect Polyline Labels with Annotation Errors Z Jiang, MS Kirby, W He, AM Sainju arXiv preprint arXiv:2010.00757, 2020 | | 2020 |
Zhe JiangDepartment of Computer & Information Science & Engineering, University of FloridaVerified email at ufl.edu
