清华大学 Xiaomeng Huang--Home--Scientific Research

Xiaomeng Huang

Professor

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Contact Information:010-62798365
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Discipline:Atmospheric Sciences

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[1] Tao, F., Huang, Y., Hungate, B.A. ... , Huang, X(*), Luo YX(*). (2023). Microbial carbon use efficiency promotes global soil carbon storage. Nature. https://doi.org/10.1038/s41586-023-06042-3
[2] Wang, M., Wang, D., Xiang, Y., Liang, Y., Xia, R., Yang, J., ... & Huang, X(*). (2023). Fusion of ocean data from multiple sources using deep learning: Utilizing sea temperature as an example. Frontiers in Marine Science.
[3] Chen, Y., Huang, X.(*), Luo, J. J., Lin, Y., Wright, J. S., Lu, Y., ... & Lin, P. (2023). Prediction of ENSO using multivariable deep learning. Atmospheric and Oceanic Science Letters, 100350.
[4] Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., ... & Huang, X(*). (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin.
[5] Zhang, B., Ma, M., Wang, M., Hong, D., Yu, L., Wang, J., ... & Huang, X.(*) (2022). Enhanced Resolution of FY4 Remote Sensing Visible Spectrum Images Utilizing Super-Resolution and Transfer Learning Techniques. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 7391-7399.

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