Shengyu Fu

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Shengyu Fu trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Chin-Yew Lin
  4. Ilya Sutskever
  5. Richard Socher
  6. Jimmy Ba
  7. Yoshua Bengio
  8. Hakan Inan
  9. Premkumar T. Devanbu
  10. Tomas Mikolov

Who trusts Shengyu Fu overall

  1. Daya Guo
  2. Yue Wang
  3. Xinyun Chen
  4. Maliheh Izadi
  5. Alexey Svyatkovskiy
  6. Colin B. Clement
  7. Yichen Xu
  8. Hung Le
  9. Vincent J. Hellendoorn

Papers from Shengyu Fu's perspective

Ordered by how strongly the researchers Shengyu Fu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers