[ Survey Papers | Conference Papers | Journal Papers | Book Chapters | Others ]

BDL Survey


Conference Publication


('Underline' indicates students I (co-)advise/mentor. '*' indicates equal contribution.)

Journal Publication


Book Chapters


  • 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.
    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.


PhD Thesis


  • Bayesian Deep Learning for Integrated Intelligence: Bridging the Gap between Perception and Inference.
    Hao Wang.
    Department of Computer Science and Engineering, Hong Kong University of Science and Technology,

    Bayesian Deep Learning

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