Haohuan Fu

Optimization & Training · 2016–2019

A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Haohuan Fu trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. L. Eon Bottou
  6. James Martens
  7. Kaiming He
  8. Yann LeCun
  9. Yinghai Ke
  10. Yoshua Bengio

Who trusts Haohuan Fu overall

  1. Abdulhakim M. Abdi
  2. Adrian Carrio

Papers from Haohuan Fu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers