Hui Shen

Natural Language Processing · with Bunescu · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Shen trusts overall

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

  1. Tomas Mikolov
  2. Thorsten Joachims
  3. Quoc V. Le
  4. Yoshua Bengio
  5. Shivani Rao
  6. Ilya Sutskever
  7. Ronan Collobert
  8. Marco Baroni
  9. Geoffrey E. Hinton
  10. Jian Zhou

Who trusts Hui Shen overall

  1. Michael Pradel
  2. Koushik Sen
  3. Xiaodong Gu

Papers from Hui Shen's perspective

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

Their papers