Yongjun Zhang

Computer Vision and Pattern Recognition · with Guan · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 246 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yongjun Zhang trusts overall

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

  1. Kaiming He
  2. Yi Yang
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Turgay Çelik
  6. Lorenzo Bruzzone
  7. Andrew Zisserman
  8. Yann LeCun
  9. Ross B. Girshick
  10. X. Zhang

Who trusts Yongjun Zhang overall

  1. Sheng Fang
  2. Xu Peng
  3. Daifeng Peng

Papers from Yongjun Zhang's perspective

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

Their papers