Hao Fu

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Fu trusts overall

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

  1. Geoffrey E. Hinton
  2. Brian Kingsbury
  3. James Martens
  4. Dong Yu
  5. Frank Torsten Bernd Seide
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Tara N. Sainath
  9. David E. Rumelhart
  10. Yann LeCun

Who trusts Hao Fu overall

  1. Hang Su
  2. Dan Alistarh
  3. Sebastian U. Stich
  4. Wayne Xiong
  5. Binghui Wang
  6. Nikko Ström
  7. Sixin Zhang
  8. Mohammad Mohammadi Amiri
  9. Hanlin Tang
  10. Tim Dettmers

Papers from Hao Fu's perspective

Ordered by how strongly the researchers Hao 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers