Z. Yao

Computer Vision and Pattern Recognition · with Ai · 2021

A researcher in the Science corpus: 1 paper; trusts 94 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Z. Yao trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Shaoqing Ren
  4. Tsung-Yi Lin
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. X. Zhang
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Z. Yao overall

  1. Matthias Minderer
  2. Feng Li
  3. Hao Zhang
  4. Alexey A. Gritsenko
  5. Xuyang Bai
  6. Shilong Liu
  7. Xiangtai Li
  8. Wenyu Lv

Papers from Z. Yao's perspective

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

Their papers