Yang Long

Computer Vision and Pattern Recognition · with Ding · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 251 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Long trusts overall

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

  1. Alex Krizhevsky
  2. Ross B. Girshick
  3. Kaiming He
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. L. Eon Bottou

Who trusts Yang Long overall

  1. Chaopeng Shen
  2. Ke Li
  3. Jian Ding
  4. Xue Yang
  5. Gong Cheng
  6. Lei Liu
  7. Wei Zhang
  8. Nan Xue
  9. Jiaming Han
  10. Guisong Xia

Papers from Yang Long's perspective

Ordered by how strongly the researchers Yang Long 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers