Gaoyuan Zhang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gaoyuan Zhang trusts overall

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

  1. Ross B. Girshick
  2. Christian Szegedy
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Ronald J. Williams
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. Diederik P. Kingma
  9. Ian J. Goodfellow
  10. Karen Simonyan

Papers from Gaoyuan Zhang's perspective

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

Their papers