Songyang Zhang

Computer Vision and Pattern Recognition · with He · 2019–2023

A researcher in the Science corpus: 6 papers; trusts 788 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Songyang Zhang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Shaoqing Ren
  6. Yann LeCun
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Jia Deng

Who trusts Songyang Zhang overall

  1. Zhuoran Shen
  2. Bichen Wu
  3. Xialei Liu
  4. Mingyuan Zhang

Papers from Songyang Zhang's perspective

Ordered by how strongly the researchers Songyang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers