Feng Liang

Computer Vision and Pattern Recognition · with Cao · 2007–2013

A researcher in the Science corpus: 3 papers; trusts 103 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Liang trusts overall

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

  1. Grace Wahba
  2. Robert Tibshirani
  3. Christopher K. I. Williams
  4. Yuhai Wu
  5. Tomaso A. Poggio
  6. John Shawe-Taylor
  7. David G. Lowe
  8. G. Kimeldorf
  9. Matthew West
  10. Theodoros Evgeniou

Who trusts Feng Liang overall

  1. Shengcai Liao
  2. Weishi Zheng
  3. Mauricio A Álvarez

Papers from Feng Liang's perspective

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

Their papers