Huijing Dai

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Huijing Dai trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Sepp Hochreiter
  9. J. Urgen Schmidhuber
  10. Alex Graves

Papers from Huijing Dai's perspective

Ordered by how strongly the researchers Huijing Dai 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers