Qian Feng

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qian Feng trusts overall

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

  1. Andrew Zisserman
  2. Josef Sivic
  3. Andrew McCallum
  4. Horst Bunke
  5. Relja Arandjelovi'c
  6. Debin Gao
  7. Diederik P. Kingma
  8. Geoffrey E. Hinton
  9. Eui Chul Richard Shin
  10. Bernhard Schölkopf

Who trusts Qian Feng overall

  1. Steven H. H. Ding
  2. Xiaojun Xu
  3. Markus Miettinen
  4. Benjamin C. M. Fung

Papers from Qian Feng's perspective

Ordered by how strongly the researchers Qian Feng 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers