Linqi Song

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Linqi Song trusts overall

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

  1. E.J. Candes
  2. Mehmet Akçakaya
  3. Joseph Dean
  4. Muthu Dayalan
  5. Sanghamitra Dutta
  6. Can Bülent Karakus
  7. Rashish Tandon
  8. Deepesh Data
  9. L. Eon Bottou
  10. Jakub Konecný

Who trusts Linqi Song overall

  1. Deepesh Data
  2. Suhas N. Diggavi
  3. Shashank Rajput
  4. Aidmar Wainakh

Papers from Linqi Song's perspective

Ordered by how strongly the researchers Linqi Song 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Large Scale Distributed Deep Networks
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers