Yiran Zhong

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 5 papers; trusts 263 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yiran Zhong trusts overall

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

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

Who trusts Yiran Zhong overall

  1. Gangwei Xu

Papers from Yiran Zhong's perspective

Ordered by how strongly the researchers Yiran Zhong 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