Linxuan Song

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Linxuan Song trusts

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

  1. Huaiyu Zhu (in Information Theory)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Diederik P. Kingma (in Artificial Intelligence)
  4. Jimmy Ba (in Artificial Intelligence)
  5. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Linxuan Song's perspective

Ordered by how strongly the researchers Linxuan Song 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. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers