Junjie Yao

Artificial Intelligence · with Chen · 2012–2019

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 Junjie Yao trusts overall

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

  1. Tomas Mikolov
  2. Antoine Bordes
  3. Qingqing Cai
  4. Ilya Sutskever
  5. Luke S. Zettlemoyer
  6. Geoffrey E. Hinton
  7. Yehuda Koren
  8. Yoshua Bengio
  9. David M. Blei
  10. Anthony Fader

Papers from Junjie Yao's perspective

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

Their papers