Kang Zheng

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 2 papers; trusts 223 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kang Zheng trusts overall

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

  1. Alex Krizhevsky
  2. Christian Szegedy
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Robert Tibshirani
  6. Yann LeCun
  7. Pedro F. Felzenszwalb
  8. Sam Johnson
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Kang Zheng overall

  1. Yucheng Chen
  2. Feng Zhang
  3. Chris Dongjoo Kim
  4. Ziwei Liu
  5. Luis Villaseñor Pineda
  6. Zequn Qin

Papers from Kang Zheng's perspective

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

Their papers