清华大学黄小猛--中文主页--学术论文

黄小猛

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联系方式：010-62798365
电子邮箱：hxm@tsinghua.edu.cn

学科：大气科学

中文主页 > 科学研究 > 学术论文

[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.
[6] Huang, P., Chen, Q., Wang, D., Wang, M., Wu, X., & Huang, X.(*). (2022). TripleConvTransformer: A deep learning vessel trajectory prediction method fusing discretized meteorological data. Frontiers in Environmental Science, 1720.
[7] Chen, Q., Ding, W., Huang, X.(*), & Wang, H. (2022). Generalized interval type ii fuzzy rough model based feature discretization for mixed pixels. IEEE Transactions on Fuzzy Systems.
[8] Liao, C., Huang, W., Wells, J., Zhao, R., Allen, K., Hou, E., …, Huang, X. & Luo, Y. (2022). Microbe-iron interactions control lignin decomposition in soil. Soil Biology and Biochemistry, 173, 108803.
[9] Liao, C., Chen, Y., Wang, J., Liang, Y., Huang, Y., Lin, Z., ... Huang, X. & Luo, Y. (2022). Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP). Ecological Processes, 11(1), 1-16.
[10] Lei Lin, Hao Liu, Xiaomeng Huang, Qingjun Fu, and Xinyu Guo. Effect of tides on river water behavior over the eastern shelf seas of China. Hydrol. Earth Syst. Sci., 26, 5207–5225, 2022

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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.

[6] Huang, P., Chen, Q., Wang, D., Wang, M., Wu, X., & Huang, X.(*). (2022). TripleConvTransformer: A deep learning vessel trajectory prediction method fusing discretized meteorological data. Frontiers in Environmental Science, 1720.

[7] Chen, Q., Ding, W., Huang, X.(*), & Wang, H. (2022). Generalized interval type ii fuzzy rough model based feature discretization for mixed pixels. IEEE Transactions on Fuzzy Systems.

[8] Liao, C., Huang, W., Wells, J., Zhao, R., Allen, K., Hou, E., …, Huang, X. & Luo, Y. (2022). Microbe-iron interactions control lignin decomposition in soil. Soil Biology and Biochemistry, 173, 108803.

[9] Liao, C., Chen, Y., Wang, J., Liang, Y., Huang, Y., Lin, Z., ... Huang, X. & Luo, Y. (2022). Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP). Ecological Processes, 11(1), 1-16.

[10] Lei Lin, Hao Liu, Xiaomeng Huang, Qingjun Fu, and Xinyu Guo. Effect of tides on river water behavior over the eastern shelf seas of China. Hydrol. Earth Syst. Sci., 26, 5207–5225, 2022

个人信息

[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.

[6] Huang, P., Chen, Q., Wang, D., Wang, M., Wu, X., & Huang, X.(*). (2022). TripleConvTransformer: A deep learning vessel trajectory prediction method fusing discretized meteorological data. Frontiers in Environmental Science, 1720.

[7] Chen, Q., Ding, W., Huang, X.(*), & Wang, H. (2022). Generalized interval type ii fuzzy rough model based feature discretization for mixed pixels. IEEE Transactions on Fuzzy Systems.

[8] Liao, C., Huang, W., Wells, J., Zhao, R., Allen, K., Hou, E., …, Huang, X. & Luo, Y. (2022). Microbe-iron interactions control lignin decomposition in soil. Soil Biology and Biochemistry, 173, 108803.

[9] Liao, C., Chen, Y., Wang, J., Liang, Y., Huang, Y., Lin, Z., ... Huang, X. & Luo, Y. (2022). Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP). Ecological Processes, 11(1), 1-16.

[10] Lei Lin, Hao Liu, Xiaomeng Huang, Qingjun Fu, and Xinyu Guo. Effect of tides on river water behavior over the eastern shelf seas of China. Hydrol. Earth Syst. Sci., 26, 5207–5225, 2022

[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