Xiao Fu

Artificial Intelligence · IEEE Transactions on Signal Processing · 2016–2017

A researcher in the Science corpus: 4 papers; trusts 49 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Fu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Andrew Y. Ng
  6. Vinod Nair
  7. Ilya Sutskever
  8. Ulrike von Luxburg
  9. Diederik P. Kingma
  10. Ross B. Girshick

Who trusts Xiao Fu overall

  1. Xifeng Guo
  2. Liron Bergman
  3. Elie Aljalbout
  4. Juho Lee
  5. Jiabo Huang
  6. Sudipto Mukherjee
  7. François Plesse
  8. Zhun Zhong
  9. Woongsup Lee
  10. Xu Yang

Papers from Xiao Fu's perspective

Ordered by how strongly the researchers Xiao 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers