Shaoyun Shi

Artificial Intelligence · with Chen · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaoyun Shi trusts overall

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

  1. Yehuda Koren
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. L. V. D. van der Maaten
  5. Ruslan Salakhutdinov
  6. Ilya Sutskever
  7. Xiangnan He
  8. Jimmy Ba
  9. Yoshua Bengio
  10. Alex Krizhevsky

Papers from Shaoyun Shi's perspective

Ordered by how strongly the researchers Shaoyun Shi 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. 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. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers