Ying Zhang

Computer Vision and Pattern Recognition · with Lu · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 668 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Zhang trusts overall

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

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

Who trusts Ying Zhang overall

  1. Linfeng Zhang
  2. Jangho Kim
  3. Mang Ye
  4. Ding Jiang
  5. Yicheng Wu
  6. Elahe Arani
  7. Jianping Gou
  8. Lin Wang
  9. Anbang Yao
  10. Guile Wu

Papers from Ying Zhang's perspective

Ordered by how strongly the researchers Ying 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  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