Huazhong Yang

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 6 papers; trusts 83 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huazhong Yang trusts overall

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

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

Papers from Huazhong Yang's perspective

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

Their papers