2020 - 2025

  • S Lee, J Bang, Y Kim, H Choi, SY Oh, JH Won. (2025). Learning massive-scale partial correlation networks in clinical multiomics studies with HP-ACCORD Annals of Applied Statistics
    AOAS
     
  • J Bang, SY Oh. (2023). FROSTY: A High-Dimensional Scale-Free Bayesian Network Learning Method. Journal of Data Science 21 (2).
    DOI GitHub
     
  • C Tran, P Cisneros‐Velarde, SY Oh, A Petersen. (2022). Family‐wise error rate control in Gaussian graphical model selection via distributionally robust optimization. Stat 11 (1), e477.
    DOI GitHub
     
  • J Zapata, SY Oh, A Petersen. (2022). Partial separability and functional graphical models for multivariate Gaussian processes. Biometrika 109 (3), 665-681.
    DOI GitHub
     
  • P Cisneros, A Petersen, SY Oh. (2020). Distributionally Robust Formulation and Model Selection for the Graphical Lasso. International Conference on Artificial Intelligence and Statistics, 756-765.
    DOI GitHub
     

2015 - 2019

  • K Khare, SY Oh, S Rahman, B Rajaratnam. (2019). A scalable sparse Cholesky based approach for learning high-dimensional covariance matrices in ordered data. Machine Learning 108 (12), 2061-2086.
    DOI
     
  • P Koanantakool, A Ali, A Azad, A Buluc, D Morozov, L Oliker, K Yelick, … (2018). Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation. International Conference on Artificial Intelligence and Statistics, 1376-1386.
    DOI
     
  • A Ali, K Khare, SY Oh, B Rajaratnam. (2017). Generalized pseudolikelihood methods for inverse covariance estimation. Artificial Intelligence and Statistics, 280-288.
    DOI
     
  • P Koanantakool, A Azad, A Buluç, D Morozov, SY Oh, L Oliker, K Yelick. (2016). Communication-avoiding parallel sparse-dense matrix-matrix multiplication. 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS).
    DOI
     
  • E Racah, S Ko, P Sadowski, W Bhimji, C Tull, SY Oh, P Baldi. (2016). Revealing fundamental physics from the Daya Bay Neutrino Experiment using deep neural networks. 2016 15th IEEE International Conference on Machine Learning and Applications.
    DOI
     
  • W Bhimji, E Racah, S Ko, P Sadowski, C Tull, SY Oh, M Prabhat. (2016). Exploring Raw HEP Data using Deep Neural Networks at NERSC. Proceedings of the 38th International Conference on High Energy Physics.
    DOI
     
  • K Khare, SY Oh, B Rajaratnam. (2015). A convex pseudolikelihood framework for high dimensional partial correlation estimation with convergence guarantees. Journal of the Royal Statistical Society: Series B (Statistical Methodology).
    DOI
     
  • PHI Kim, H Lee, J Park, SY Oh. (2015). Methods, systems, and apparatus to design online advertising units via a web-based application. US Patent 9,202,231.
    DOI
     

2010 - 2014

  • S Oh, O Dalal, K Khare, B Rajaratnam. (2014). Optimization methods for sparse pseudo-likelihood graphical model selection. Advances in Neural Information Processing Systems 27, 667-675.
    DOI
     
  • DF Levinson, J Shi, K Wang, S Oh, B Riley, AE Pulver, DB Wildenauer, … (2012). Genome-wide association study of multiplex schizophrenia pedigrees. American Journal of Psychiatry 169 (9), 963-973.
    DOI
     
  • DF Levinson, J Duan, S Oh, K Wang, AR Sanders, J Shi, N Zhang, … (2011). Copy number variants in schizophrenia: confirmation of five previous findings and new evidence for 3q29 microdeletions and VIPR2 duplications. American Journal of Psychiatry 168 (3), 302-316.
    DOI
     

Pre 2010

  • BW Reutter, S Oh, GT Gullberg, RH Huesman. (2005). Improved quantitation of dynamic SPECT via fully 4-D joint estimation of compartmental models and blood input function directly from projections. IEEE Nuclear Science Symposium Conference Record, 2005 4, 2337-2341.
    DOI
     
  • AH Jaffe, PAR Ade, A Balbi, JJ Bock, JR Bond, J Borrill, A Boscaleri, … (2001). Cosmology from MAXIMA-1, BOOMERANG, and COBE DMR cosmic microwave background observations. Physical Review Letters 86 (16), 3475.
    DOI
     
  • R Stompor, A Balbi, JD Borrill, PG Ferreira, S Hanany, AH Jaffe, AT Lee, … (2001). Making maps of the cosmic microwave background: The MAXIMA example. Physical Review D 65 (2), 022003.
    DOI
     
  • JHP Wu, A Balbi, J Borrill, PG Ferreira, S Hanany, AH Jaffe, AT Lee, S Oh, … (2001). Asymmetric beams in cosmic microwave background anisotropy experiments. The Astrophysical Journal Supplement Series 132 (1), 1.
    DOI
     
  • S Hanany, P Ade, A Balbi, J Bock, J Borrill, A Boscaleri, P De Bernardis, … (2000). MAXIMA-1: a measurement of the cosmic microwave background anisotropy on angular scales of 10’-5. The Astrophysical Journal 545 (1), L5.
    DOI