Han Shi

Artificial Intelligence · with Li · 2019–2023

A researcher in the Science corpus: 5 papers; trusts 110 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Han Shi trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Barret Zoph
  7. Quoc V. Le
  8. Yann LeCun
  9. Radford M. Neal
  10. Karen Simonyan

Who trusts Han Shi overall

  1. Colin White
  2. Yash Savani
  3. Willie Neiswanger
  4. Linnan Wang
  5. Changlin Li
  6. Sam Nolen

Papers from Han Shi's perspective

Ordered by how strongly the researchers Han Shi 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers