Sheng Li

Artificial Intelligence · with Kawai · 2017–2020

A researcher in the Science corpus: 5 papers; trusts 71 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Sheng Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Daniel Povey
  6. Oriol Vinyals
  7. Sepp Hochreiter
  8. J. Urgen Schmidhuber
  9. Karen Simonyan
  10. Alex Krizhevsky

Who trusts Sheng Li overall

  1. Jianping Gou
  2. Gakuto Kurata
  3. Hadi Pouransari
  4. Peng Shen
  5. Baosheng Yu
  6. Suyoun Kim
  7. Alexei Baevski

Papers from Sheng Li's perspective

Ordered by how strongly the researchers Sheng Li 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers