Yue Hu

Artificial Intelligence · with Yu · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 206 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yue Hu trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Ilya Sutskever
  7. Yann LeCun
  8. Richard Socher
  9. Ross B. Girshick
  10. Karen Simonyan

Papers from Yue Hu's perspective

Ordered by how strongly the researchers Yue Hu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers