Shaokai Ye

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 4 papers; trusts 121 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shaokai Ye trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yann LeCun
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Christian Szegedy
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Karen Simonyan

Who trusts Shaokai Ye overall

  1. Linfeng Zhang
  2. Young Geun Kim
  3. Chenglong Bao
  4. Huanrui Yang
  5. Kaisheng Ma
  6. Carole-Jean Wu
  7. Hesham Mostafa
  8. Yukang Shi

Papers from Shaokai Ye's perspective

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

Their papers