I am a Postdoctoral Fellow in Statistics at King Abdullah University of Science and Technology (KAUST), affiliated with the Spatio-Temporal Statistics and Data Science (STSDS) research group led by Prof. Genton. I received my Ph.D. degree in Statistics from Renmin University of China in 2023. During my doctoral studies, I undertook research visits to Hong Kong Baptist University and KAUST. I received my B.S. degree in Statistics from Beijing Institute of Technology, China, 2018.

My research interests include spatio-temporal statistics, subsampling methods, nonparametric statistics, and computational statistics and HPC. My work primarily focuses on spatio-temporal statistics, particularly in the analysis of large-scale spatio-temporal data from Climate and Environmental Sciences and the development of large- and exa-scale climate emulators, with Gaussian processes being key tools. I have also developed subsampling techniques for various data types and statistical models, with an emphasis on nonparametric statistics.

Selected Publications

Song, Y., Dai, W., and Genton, M. G. (2024), `Large-scale low-rank Gaussian process prediction with support points', Journal of the American Statistical Association, to appear, arXiv: 2207.12804.
Abdulah, S., Baker, A. H., Bosilca, G., Cao, Q., Castruccio, S., Genton, M. G., Keyes, D. E., Khalid, Z., Ltaief, H., Song, Y., Stenchikov, G. L., Sun, Y. (2024), `Boosting earth system model outputs and saving petabytes in their storage using exascale climate emulators', ACM Gordon Bell Prize for Climate Modelling finalist, to appear, arXiv: 2408.04440.
Song, Y., Khalid, Z. and Genton, M. G. (2024) ‘Efficient stochastic generators with spherical harmonic transformation for high-resolution global climate simulations from CESM2-LENS2’, Journal of the American Statistical Association, published online.
DOI
10.1080/01621459.2024.2360666
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Zhang, M., Song, Y. and Dai, W. (2024) ‘Fast robust location and scatter estimation: a depth-based method’, Technometrics, 66(1), pp. 14–27.
DOI
10.1080/00401706.2023.2216246
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Song, Y., Dai, W. (2024) 'Deterministic subsampling for logistic regression with massive data', Computational Statistics, 39(3), pp. 709–732.
DOI
10.1007/s00180-022-01319-z
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Hong, Y., Song, Y., Abdulah, S., Sun, Y., Ltaief, H., Keyes, D. E., Genton, M. G. (2023) 'The third competition on spatial statistics for large datasets', Journal of Agricultural, Biological, and Environmental Statistics, 28, pp. 618–635.
DOI
10.1007/s13253-023-00584-9
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Dai, W., Song, Y. (Co-first auther) and Wang, D. (2023) ‘A subsampling method for regression problems based on minimum energy criterion’, Technometrics, 65(2), pp. 192–205.
DOI
10.1080/00401706.2022.2127915
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