Longqi Yang

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Longqi Yang trusts overall

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

  1. Steffen Rendle
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Jason Aaron Edward Weston
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Joshua D. Angrist

Who trusts Longqi Yang overall

  1. Jiaxi Tang
  2. Yi Tay

Papers from Longqi Yang's perspective

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

Their papers