Yeonjong Shin

Prager Assistant Professor

 Office : Rm 222, 182 George Street
 Phone : (401) 863-1320
 Email : yeonjong_shin AT brown DOT edu
  Prager Assistant Professor,  July 2018 - Present
    Brown University, Providence, RI, USA

  Ph.D. Mathematics, May 2018
    The Ohio State University, Columbus, OH, USA
    Advisor: Dongbin Xiu

  B.S. Mathematics and 
  B.A. Economics, August 2013*
    Yonsei University, Seoul, South Korea
    *Military Service as a KATUSA, 2009-2011 
Research Interests
 • Approximation Theory and Data Science
  Uncertainty Quantification and Scientific Computing
 I am also highly interested in 
• High-dimensional probability theory
• Stochastic optimization
• Random matrix theory
• Machine learning
 [11] In preparation
 [10] In preparation
 [9] In preparation
 [8] L. Lu, Y. Shin, Y. Su, and G. E. Karniadakis, Dying ReLU and Initialization: Theory and Numerical Examples,
       Submitted for publication.
 [7] Y. Shin, K. Wu and D. Xiu, Sequential function approximation using randomized samples, 
J. Comput. Phys.,
 371, 363-381 (2018).
 [6] K. Wu, Y. Shin and D. Xiu, A randomized tensor quadrature method for high dimensional polynomial approximation, 
       SIAM J. Sci. Comput., 39(5), A1811-A1833 (2017).
 [5] Y. Shin and D. Xiu, A randomized algorithm for multivariate function approximation,
       SIAM J. Sci. Comput., 39(3), A983-A1002 (2017).
 [4] L. Yan, Y. Shin and D. Xiu, Sparse approximation using l1-l2 minimization and its applications to stochastic collocation, 
       SIAM J. Sci. Comput., 39(1), A229-A254, (2017).
 [3] Y. Shin and D. Xiu, Correcting data corruption errors for multivariate function approximation,
       SIAM J. Sci. Comput., 38(4), A2492-A2511 (2016).
 [2] Y. Shin and D. Xiu, On a near optimal sampling strategy for least squares polynomial regression, 
       J. Comput. Phys., 326, 931-946 (2016). 
 [1] Y. Shin and D. Xiu, Nonadaptive quasi-optimal points selection for least squares linear regression, 
       SIAM J. Sci. Comput., 38(1), A385-A411 (2016).

Conference Presentations
 [9] ICERM: Scientific Machine Learning, Jan 2019, Providence, RI, USA
 [8] SIAM UQ 2018, April 2018, Garden Grove, CA, USA
 [7] SIAM CSE 2017, Feb 2017, Atlanta, GA, USA
 [6] 12th WCCM - 6th APCOM 2016, July 2016, Seoul, Korea.
 [5] 15th International Conference Approximation Theory, May 2016, San Antonio, TX, USA.
 [4] SIAM UQ 2016, April 2016, Lausanne, Switzerland.
 [3] 14th Copper Mountain Conference on Iterative Methods, March 2016, CO, USA.
 [2] ICIAM 2015, August 2015, Beijing, China.
 [1] SIAM CSE 2015, March 2015, Salt Lake City, UT, USA

Invited talks/seminars
 [5] Department of Mathematics Seminar, Yonsei University, Jan 2019, Seoul, Korea.
 [4] Applied Algebra and Optimization Research Center Seminar, Sungkyunkwan University, Jan 2019, Suwon, Korea.
 [3] Applied Mathematics Colloquium, Brown University, Sep 2018, Providence, RI, USA.
 [2] Spring School, University of South Carolina, Feb 2018, Columbia, SC, USA.
 [1] Department of Mathematics Seminar, Sungkyunkwan University, July 2016, Suwon, Korea.