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Bridging Remote Sensors with Multisensor Geospatial Foundation Models
Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
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PreDiff: Precipitation Nowcasting with Latent Diffusion Models.
Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix Robinson, Yi Zhu, Mu Li, Yuyang Bernie Wang.
Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.
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Towards Geospatial Foundation Models via Continual Pretraining.
Matias Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen.
International Conference on Computer Vision (ICCV), 2023.
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Earthformer: Exploring Space-Time Transformers for Earth System Forecasting.
Zhihan Gao, Xingjian Shi*, Hao Wang, Yi Zhu, Yuyang Wang, Mu Li, Dit-Yan Yeung (* Contact person)
Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.
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Deep learning and the weather forecasting problem -- precipitation nowcasting.
Zhihan Gao, Xingjian Shi*, Hao Wang, Dit-Yan Yeung, Wang-chun Woo, and Wai-Kin Wong (* indicates corresponding author)
Deep learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences, G. Camps-Valls, D. Tuia, X.X. Zhu, and M. Reichstein (eds.), Wiley & Sons, 2021.
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Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model.
Xingjian Shi, Zhihan Gao, Leonard Lausen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo
Thirty-First Annual Conference on Neural Information Processing Systems (NeurIPS), 2017. (Accepted as Spotlight)
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Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting.
Xingjian Shi, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun Woo
Twenty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2015.