Haijin Wang

Computational Mechanics · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haijin Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Yan Xu
  2. Chi-Wang Shu
  3. Philippe G. Ciarlet
  4. Dimitri J. Mavriplis
  5. Bernardo Cockburn

Papers from Haijin Wang's perspective

Ordered by how strongly the researchers Haijin Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multigrid approaches to non‐linear diffusion problems on unstructured meshes (Numerical Linear Algebra with Applications)
  2. Local discontinuous Galerkin methods for the Kuramoto-Sivashinsky equations and the Ito-type coupled KdV equations
  3. Runge–Kutta Discontinuous Galerkin Methods for Convection-Dominated Problems (Journal of Scientific Computing)
  4. The finite element method for elliptic problems (Classics in applied mathematics)
  5. Local Discontinuous Galerkin Methods for High-Order Time-Dependent Partial Differential Equations
  6. Local Discontinuous Galerkin Methods for the Stokes System (SIAM Journal on Numerical Analysis)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. Long Short-Term Memory
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers