Chen-Chun Wu

Statistical and Nonlinear Physics · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen-Chun Wu trusts overall

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

  1. Maizar Raissi
  2. Lu Lu
  3. G. Em Karniadakis
  4. Sifan Wang
  5. Michael L. Stein
  6. Ilya M. Sobol
  7. Rémi Bardenet
  8. Melissa E. O'Neill
  9. Paris Perdikaris
  10. Alireza Yazdani

Papers from Chen-Chun Wu's perspective

Ordered by how strongly the researchers Chen-Chun Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. GENERATIVE ADVERSARIAL NETS
  3. ImageNet classification with deep convolutional neural networks
  4. fPINNs: Fractional Physics-Informed Neural Networks
  5. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Physics-informed neural networks for inverse problems in nano-optics and metamaterials.
  9. DeepXDE: A Deep Learning Library for Solving Differential Equations
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers