Zhao Kang

Computer Vision and Pattern Recognition · with Lin · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhao Kang trusts overall

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

  1. Xinlei Chen
  2. Canyi Lu
  3. Deng Cai
  4. A. Hinge
  5. Geoffrey E. Hinton

Papers from Zhao Kang's perspective

Ordered by how strongly the researchers Zhao Kang 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  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