Ling Chen

Artificial Intelligence · with Cao · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ling Chen trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Oriol Vinyals
  4. Zonghan Wu
  5. Michaël Defferrard
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Thomas Kipf
  9. Jimmy Ba
  10. Max Welling

Who trusts Ling Chen overall

  1. Ailin Deng

Papers from Ling Chen's perspective

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

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

Their papers