Shuang Yang

Artificial Intelligence · with Qi · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuang Yang trusts

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

  1. Max Welling (in Artificial Intelligence)
  2. Jimmy Ba (in Artificial Intelligence)
  3. Thomas Kipf (in Artificial Intelligence)
  4. Diederik P. Kingma (in Artificial Intelligence)
  5. Jure Leskovec (in Graph Learning)
  6. Geoffrey E. Hinton (in Artificial Intelligence)

Papers from Shuang Yang's perspective

Ordered by how strongly the researchers Shuang Yang 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. Et al
  3. Layer Normalization
  4. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
  8. ImageNet classification with deep convolutional neural networks
  9. Graph Attention Networks (International Conference on Learning Representations)
  10. node2vec: Scalable Feature Learning for Networks

Their papers