En Li

Computer Vision and Pattern Recognition · with Chen · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom En Li trusts overall

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

  1. Alex Krizhevsky
  2. Song Han
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Surat Teerapittayanon
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Christian Szegedy
  9. Kaiming He
  10. Yann LeCun

Who trusts En Li overall

  1. Khaled Ben Letaief
  2. Jun Zhang
  3. Xu Chen
  4. Yiwen Han
  5. Xiaofei Wang
  6. Zhi Zhou
  7. Julian Togelius
  8. Qiong Wu
  9. Wei Xu
  10. Yuanming Shi

Papers from En Li's perspective

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

Their papers