Park, S. and Zhao, H. (2020). Integrating multidimensional data for clustering analysis with applications to cancer patient data. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2020.1730853
Tang, D., Park, S.^, and Zhao, H. (2020). NITUMID: NMF-based Immune-TUmor MIcroenvironment Deconvolution. Bioinformatics, Vol. 36, No. 5, 1344-1350.
Park, S.*, Zhao, H. (2019). Sparse principal component analysis with missing observations. Annals of Applied Statistics, Vol.13, No.2, 1016-1042.
Park, S.* and Lee, S. (2019). Linear programming models for portfolio optimization using a benchmark. European Journal of Finance, Vol. 25, 435-457.
Park, S.*, Zhao, H. (2018). Spectral clustering based on learning similarity matrix. Bioinformatics, Vol. 34, No. 12, 2069-2076.
Park, S*., He, X., Zhou, S. (2017). Joint quantile regression with high dimensional covariates. Statistica Sinica, Vol. 27, No. 4, 1619-1638. (Winner of the 2015 Student Paper Competition in the ASA Section on SLDM)
Park, S.*, He, X. (2017). Hypothesis testing for regional quantiles. Journal of Statistical Planning and Inference, Vol. 191, 13-24.
Greenewald, K., Park, S., Giessing, A., Zhou, S. (2017). Time varying matrix- variate graphical models. In Advances in Neural Information Processing Systems, 30 (NIPS 2017)
Honors / Awards
National Research Foundation of Korea Grant (2019 - 2022),(NRF2019R1C1C1003805), Principal Investigator, 210,000,000 (KRW)
Sungkyun Research Fund (2018), Principal Investigator, 2018 - 2019
KOFAC-2019 Undergraduate Research Program, Principal Investigator, 2019
Winner of the 2015 Student Paper Competition in the ASA Section on SLDM (2015)
Rackham Research Travel Grant Award (2013,2014,2015)
