Applied Mathematics

Yeonjong Shin

Prager Assistant Professor of Applied Mathematics
Room 222, 182 George Street
Office Hours: By appointment


Ph.D., The Ohio State University, 2018

Research Interests: 

Approximation Theory, Uncertainty Quantification, Scientific Computing, Stochastic Optimization, Machine Learning and Data Science

Curriculum Vitae


Y. Shin and D. Xiu, Sequential approximation via linear random measurements under noise, (in preparaion).

Y. Shin, K. Wu and D. Xiu,Sequential function approximation using randomized samples, J. Comput. Phys., 371, 363-381 (2018).

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).

Y. Shin and D. Xiu, A randomized algorithm for multivariate function approximation, SIAM J. Sci. Comput., 39(3), A983-A1002 (2017).

L. Yan, Y. Shin and D. Xiu, Sparse approximation using `1-`2 minimization and its applications to stochastic collocation, SIAM J. Sci. Comput., 39(1), A229-A254 (2017).

 Y. Shin and D. Xiu, Correcting data corruption errors for multivariate function approximation, SIAM J. Sci. Comput., 38(4), A2492-A2511 (2016).

Y. Shin and D. Xiu, On a near optimal sampling strategy for least squares polynomial regression, J. Comput. Phys., 326, 931-946 (2016).

 Y. Shin and D. Xiu, Nonadaptive quasi-optimal points selection for least squares linear regression, SIAM J. Sci. Comput. 38(1), A385-A411 (2016).