Mi Zhang

Computer Vision and Pattern Recognition · with Yan · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 513 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mi Zhang trusts overall

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

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

Who trusts Mi Zhang overall

  1. Xu Chen
  2. Hamed Haddadi
  3. Paul Patras
  4. Chaoyun Zhang

Papers from Mi Zhang's perspective

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

Their papers