Hongxing Cui

Postdoctoral Fellow

Postdoctoral Fellow

Current

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Research Interests

Hongxing's research focuses on the downscaling of atmospheric and oceanic variables over Saudi Arabia using deep learning. During his doctoral studies, he developed explainable machine learning methods to predict and understand tropical cyclone-induced ocean responses.

Selected Publications

Modeling ocean cooling induced by tropical cyclone wind pump using explainable machine learning framework. H Cui, D Tang, H Liu, H Liu, Y Sui, Y Lai, X Gu. IEEE Transactions on Geoscience and Remote Sensing. 2024. doi: 10.1109/TGRS.2024.3358374.

Predicting tropical cyclone‐induced sea surface temperature responses using machine learning. H Cui, D Tang, W Mei, H Liu, Y Sui, X Gu. Geophysical Research Letters. 2023. doi: 10.1029/2023GL104171.

Composite analysis-based machine learning for prediction of tropical cyclone-induced sea surface Height Anomaly. H Cui, D Tang, H Liu, Y Sui and X Gu. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2023. doi: 10.1109/JSTARS.2023.3247881.

Education

2021 - 2024: Ph.D. (Marine Environmental Science),The Hong Kong University of Science and Technology, Hong Kong, China.

Research Interests Keywords

Atmospheric Ocean Deep Learning