Selected SCI paper (Total 71 paper)
Mathematics:
[1] H.Y. Liu and K. Zhang, Multi-symplectic Runge-Kutta type methods for Hamiltonian wave equations. IMA J. Numer. Anal., 26, 2006, 252-271.
[2] Y.P. Lin, K. Zhang and J. Zou, Studies on some perfectly matched layers for one-dimensional time-dependent systems. Adv. Comput. Math., 30, 2009, 1-35.
[3] Y.L. Hao, F.D. Kang, J.Z. Li and K. Zhang, A numerical method for Maxwell's equations with random interfaces via shape calculus and pivoted low-rank approximation. J. Comput. Phys., 371, 2018, 1-18.
[4] G. Bao, Y.Z. Cao, Y.L. Hao, and K. Zhang, A robust numerical method for the random interface grating problem via shape calculus, weak Galerkin method, and low-rank approximation. J. Sci. Comput., 77(1), 2018, 419-442.
[5] M. Li, L.C. Zhu, J.Z. Li and K. Zhang, Efficient optimal design of interconnected anisotropic porous structures using extended triply periodic minimal surfaces. J. Comput. Phys., 425, 2021, 109909.
[6] Y. Gao, H.Y. Liu, X.C. Wang and K. Zhang, On an artificial neural network for inverse scattering problems. J. Comput. Phys., 448, 2022, 110771.
[7] Y. Gao, H.Y. Liu, X.C. Wang and K. Zhang, A Bayesian scheme for reconstructing obstacles in acoustic waveguides. J. Sci. Comput., 97(3), 2023, 53.
[8] Y. Jiang, H.Y. Liu, J.C. Zhang and K. Zhang, Spectral patterns of elastic transmission eigenfunctions: boundary localization, surface resonance and stress concentration. SIAM Appl. Math., 83(6), 2023, 2469-2498.
[9] Y. Jiang, H.Y. Liu, T.H. Ni and K. Zhang, Inverse problems for nonlinear progressive waves. Calculus of Variations and Partial Differentia Equations, 64, 2025, 116.
[10] Y. Jiang, H.Y. Liu, T.H. Ni and K. Zhang, Inverse problems for a quasilinear hyperbolic equation with multiple unknowns. J. Functional Analysis, 289(7), 2025, 110986.
Geological exploration:
[1] C. Zhang, D.N. Huang, K. Zhang, P.T. Pu and P. Yu, Magnetic interface forward and inversion method based on Pade approximation. Applied Geophysics, 13(4), 2016, 712-720.
[2] Y.J. Ji, Y.H. Zhang, Y.B. Yu, K. Zhang, J. Lin, D.S. Li, and Q. Wu, Inversion method of a highly generalized neural network based on Rademacher complexity for rough media GATEM data. Transactions on Geoscience and Remote Sensing, 60, 2022, 1-12.