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Song, Hoseung (송호승)
조교수, Department of Industrial & Systems Engineering(산업및시스템공학과)

https://hoseungs.github.io

Research Area
High-dimensional and large-scale data analysis, Change-point analysis, Statistical hypothesis testing
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Multivariate differential association analysis

    Song, Hoseung; Wu, Michael C., STAT, v.13, no.2, 2024-06

    2
    Limitation of permutation‐based differential correlation analysis

    Song, Hoseung; Wu, Michael C., GENETIC EPIDEMIOLOGY, v.47, no.8, pp.637 - 641, 2023-12

    3
    Accommodating multiple potential normalizations in microbiome associations studies

    Song, Hoseung; Ling, Wodan; Zhao, Ni; et al, BMC BIOINFORMATICS, v.24, no.1, 2023-01

    4
    A fast kernel independence test for cluster-correlated data

    Song, Hoseung; Liu, Hongjiao; Wu, Michael C., SCIENTIFIC REPORTS, v.12, no.1, 2022-12

    5
    Batch effects removal for microbiome data via conditional quantile regression

    Ling, Wodan; Lu, Jiuyao; Zhao, Ni; et al, NATURE COMMUNICATIONS, v.13, no.1, 2022-09

    6
    Asymptotic distribution-free change-point detection for data with repeated observations

    Song, Hoseung; Chen, Hao, BIOMETRIKA, v.109, no.3, pp.783 - 798, 2022-08

    7
    Preventing Failures by Dataset Shift Detection in Safety-Critical Graph Applications

    Song, Hoseung; Thiagarajan, Jayaraman J.; Kailkhura, Bhavya, FRONTIERS IN ARTIFICIAL INTELLIGENCE, v.4, 2021-05
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