Yu Yan

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 71 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yu Yan trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Jimmy Ba
  7. Kaiming He
  8. Yann LeCun
  9. Alec Radford
  10. Alex Graves

Who trusts Yu Yan overall

  1. Yixin Liu
  2. Alexios Gidiotis
  3. Hao Xue
  4. WonJin Yoon
  5. Junyi Li
  6. Kalpesh Krishna
  7. Seohyun Back
  8. Tahmid Hasan
  9. Weizhen Qi
  10. Xiangru Tang

Papers from Yu Yan's perspective

Ordered by how strongly the researchers Yu Yan 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers