Yi Zhu

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

A researcher in the Science corpus: 5 papers; trusts 1,055 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Zhu trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Yoshua Bengio
  10. Christian Szegedy

Who trusts Yi Zhu overall

  1. He Zhang
  2. Xiangtai Li
  3. Vishal M. Patel
  4. Anh-Quan Cao
  5. Liang-Chieh Chen
  6. Pichao Wang
  7. Jun Liu
  8. S. Latif
  9. Jiali Duan
  10. Andrew Tao

Papers from Yi Zhu's perspective

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

Their papers