Shuai Che

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 6 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shuai Che trusts overall

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

  1. John R. Nickolls
  2. Jens Harald Krüger
  3. Naga K. Govindaraju
  4. Krste Asanovic
  5. Erik Lindholm
  6. Wei Huang
  7. Shubhabrata Sengupta
  8. Kevin Skadron
  9. Rüdiger Westermann
  10. Ian Buck

Who trusts Shuai Che overall

  1. Timothy G. Rogers
  2. Michael Boyer
  3. Akhil Arunkumar
  4. Jianbin Fang
  5. Jeremy W. Sheaffer
  6. Anders Eklund
  7. Mahmoud Khairy
  8. Sungpack Hong
  9. Hangchen Yu
  10. Karan Ganju

Papers from Shuai Che's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Long Short-Term Memory
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers