Heng Yu

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 110 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Heng Yu trusts overall

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

  1. Diederik P. Kingma
  2. Rico Sennrich
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Oriol Vinyals
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Alex Graves
  10. Kaiming He

Who trusts Heng Yu overall

  1. Weijia Xu
  2. Marine Carpuat
  3. Raj Dabre
  4. Raymond Hendy Susanto
  5. Ziwei Ji
  6. Chenhui Chu
  7. Shamil Chollampatt
  8. Nayeon Lee

Papers from Heng Yu's perspective

Ordered by how strongly the researchers Heng Yu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers