Hongyan Tang

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongyan Tang trusts overall

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

  1. Barret Zoph
  2. Geoffrey E. Hinton
  3. Quoc V. Le
  4. Yi Tay
  5. Clemens Rosenbaum
  6. Yoav Shoham
  7. Ishan Misra
  8. Alex Krizhevsky
  9. Yoshua Bengio
  10. Sebastian Ruder

Papers from Hongyan Tang's perspective

Ordered by how strongly the researchers Hongyan Tang 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. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers