GISS Personnel Directory

Dr. Meijian Yang

Columbia University

NASA Goddard Institute for Space Studies
2880 Broadway
New York, NY 10025 USA

E-mail: my2824@columbia.edu
Phone: 212-678-5649
MS: 570

Recent Publications

Liu, Q., F. Dou, M. Yang, E. Amdework, G. Wang, and J. Bi, 2023: Customized positional encoding to combine static and time-varying data in robust representation learning for crop yield prediction. In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, Macao, SAR, 19-25 August 2023. E. Elkind, Ed., International Joint Conferences on Artificial Intelligence, pp. 6094-6102, doi:10.24963/ijcai.2023/676.

Yang, M., and G. Wang, 2023: Heat stress to jeopardize crop production in the US Corn Belt based on downscaled CMIP5 projections. Agric. Syst., 211, 103746, doi:10.1016/j.agsy.2023.103746.

Fan, Y., X. Wang, T. Funk, I. Rashid, B. Herman, N. Bompoti, M.S. Mahmud, M. Chrysochoou, M. Yang, T.M. Vadas, Y. Lei, and B. Li, 2022: A critical review for real-time continuous soil monitoring: Advantages, challenges, and perspectives. Environ. Sci. Technol., 56, no. 19, 13546-13564, doi:10.1021/acs.est.2c03562.

Jiang, Y., M. Yang, W. Liu, K. Mohammadi, and G. Wang, 2022: Eco-hydrological responses to recent droughts in tropical South America. Environ. Res. Lett., 17, no. 2, 024037, doi:10.1088/1748-9326/ac507a.

Liu, Q., M. Yang, K. Mohammadi, D. Song, J. Bi, and G. Wang, 2022: Machine learning crop yield models based on meteorological features and comparison with a process-based model. Artif. Intell. Earth Syst., 1, no. 4, e220002, doi:10.1175/AIES-D-22-0002.1.

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