Heng Fan

Atomic and Molecular Physics, and Optics · with Wang · 2007–2019

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Heng Fan trusts overall

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

  1. Yazhen Wang
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Diederik P. Kingma
  5. Aapo Hyvärinen
  6. Paul Smolensky
  7. John J. Hopfield
  8. Ulrich Schollwoeck
  9. Roman Orus
  10. Yoshua Bengio

Papers from Heng Fan's perspective

Ordered by how strongly the researchers Heng Fan 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. GENERATIVE ADVERSARIAL NETS
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers