Kailiang Wu

Department of Mathematics, The Ohio State University

E-mail: wu.3423 [AT] osu [DOT] edu   
Address: Math Building 342, 231 W. 18th Ave. Columbus, OH 43210, USA

Education & Employment
  • 2016-present   PostDoc  Department of Mathematics, The Ohio State University
  • 2011-2016  Ph.D.  School of Mathematical Sciences, Peking University
  • 2007-2011  B.Sc.  School of Mathematics and Statistics, Huazhong University of Science and Technology
Research Interests
  • Numerical solutions of partial differential equations
  • High-order accurate numerical methods
  • Hyperbolic conservation laws
  • Approximation theory 
  • Uncertainty quantification
  • Data-driven modeling and scientific computing


22. K. Wu and C.-W. Shu, Provably positive high-order schemes for ideal magnetohydrodynamics: Analysis on general meshes
        Numerische Mathematik, accepted for publication, 2019.

        Journal of Computational Physics384: 200-221, 2019.

        SIAM Journal on Scientific Computing, 40(5):B1302-B1329, 2018.

        Journal of Computational Physics, 354:370-386, 2018.

        SIAM Journal on Numerical Analysis, 56(4):2124-2147, 2018.

17. Y. Shin, K. Wu and D. Xiu, Sequential function approximation with noisy data
        Journal of Computational Physics, 371:363-381, 2018.

        Z. Angew. Math. Phys., 69:84(24pages), 2018.

15. K. Wu, Y. Shin and D. Xiu, A randomized tensor quadrature method for high dimensional polynomial approximation
    SIAM Journal on Scientific Computing
39(5):A1811-A1833, 2017

14K. WuDesign of provably physical-constraint-preserving methods for general relativistic hydrodynamics
            Physical Review D95, 103001, 2017. 

13. K. Wu
, H. Tang and D. Xiu, 
A stochastic Galerkin method for first-order quasilinear hyperbolic systems with uncertainty
        Journal of Computational Physics
345:224-244, 2017. 

12. K. Wu and H. Tang, Admissible states and physical-constraints-preserving schemes for relativistic magnetohydrodynamic equations   
        Math. Models Methods Appl. Sci. (
M3AS)27(10):1871-1928, 2017. 

11. Y. Kuang, K. Wu and H. Tang, Runge-Kutta discontinuous local evolution Galerkin methods for the shallow water equations on the cubed-sphere grid
        Numer. Math. Theor. Meth. Appl.10(2):373-419, 2017. 

10. K. Wu
H. Tang, Physical-constraint-preserving central discontinuous Galerkin methods for special relativistic hydrodynamics with a general equation of state
        Astrophys. J. Suppl. S. (ApJS)228(1):3(23pages), 2017. (2015 Impact Factor of ApJS: 11.257)

9. K. Wu and H. Tang, A direct Eulerian GRP scheme for spherically symmetric general relativistic hydrodynamics
        SIAM Journal on Scientific Computing, 38(3):B458-B489, 2016. 

8. K. Wu
 and H. Tang, 
A Newton multigrid method for steady-state shallow water equations with topography and dry areas
        Applied Mathematics and Mechanics,
 37(11):1441-1466, 2016. 

7. K. Wu and H. Tang, High-order accurate physical-constraints-preserving finite difference WENO schemes for special relativistic hydrodynamics
        Journal of Computational Physics, 298:539-564, 2015.

6. K. Wu, Z. Yang and H. Tang, 
A third-order accurate direct Eulerian GRP scheme for one-dimensional relativistic hydrodynamics
 East Asian J. Appl. Math., 4(2):95-131, 2014.

5. K. Wu
, Z. Yang and H. Tang, 
A third-order accurate direct Eulerian GRP scheme for the Euler equations in gas dynamics
        Journal of Computational Physics, 264:177-208, 2014. 

4. K. Wu
 and H. Tang, 
Finite volume local evolution Galerkin method for two-dimensional relativistic hydrodynamics
Journal of Computational Physics, 256:277-307, 2014. 


3. T. Qin, K. Wu and D. Xiu,  Data driven governing equations approximation using deep neural networkssubmitted, 2018.

2. K. Wu and D. Xiu, Sequential approximation of functions in Sobolev spaces using random samples, submitted, 2018.

1. K. Wu and D. Xiu, An explicit neural network construction for piecewise constant function approximationsubmitted, 2018.


  • Outstanding Ph.D. Graduates Award, PKU (2016)
  • Outstanding Youth Paper Award (First Prize), the China Society for Computational Mathematics (2015) 
  • Merit Student of PKU (2014, 2015)
  • First-Class Prize in “Challenge Cup” May-4th Youth Science Competition, PKU (2014)
  • President Scholarship, PKU (2014, 2015, 2016)
  • National Scholarship for Graduate Students, Ministry of Education of China (2013)
  • SIAM Conference on Computational Science and Engineering, Spokane, Washington, USA, February 25-March 1, 2019.
  • Numerical Analysis Seminar, Department of Mathematics, Purdue University, West Lafayette, Indiana, USA, August 27, 2018.
  • School of Mathematical Sciences, University of Science and Technology of China, Hefei, China, December 28, 2017. 
  • Young Researchers Workshop: New Trends in Computational and Applied Mathematics, Beijing International Center for Mathematical Research, Peking University, Beijing, China, December 18-20, 2017. (Invited) 
  • Young Mathematician Forum, Peking University, Beijing, China, December 15-16, 2017. (Invited) 
  • School of Mathematical Sciences, Peking University, Beijing, China, June 5, 2017. (Invited)
  • The 10th Chinese Computational Mathematics Annual Meeting, Guangzhou, China, Sep. 19-21, 2015. (Presentation for paper award of China Society for Computational Mathematics)
  • The 8th International Congress on Industrial and Applied Mathematics (ICIAM), Beijing, China, Aug. 10-14, 2015. (Poster)
  • The Second Computational Mathematics Graduate Student Forum of Peking University, Peking University, Beijing, China, July 11-12, 2015. (Co-organizer)
  • The First Beijing Computational Mathematics Graduate Student Forum, Peking University, Beijing, China, July 13, 2014. (Co-organizer)
  • Beijing Mini-Symposium on Computational Fluid Dynamics, Institute of Applied Physics and Computational Mathematics, Beijing, China, May 9, 2014. 
  • The First Computational Mathematics Graduate Student Forum of Peking University, Peking University, Beijing, China, Nov. 16, 2013. (Co-organizer)
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