Jiangning Song

Molecular Biology · 2012–2020

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiangning Song trusts overall

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

  1. The Uniprot Consortium
  2. Andy Liaw
  3. Tomas Mikolov
  4. Quoc V. Le
  5. Jianlin Cheng
  6. J. Chen
  7. Jonathan J. Ward
  8. David T. Jones
  9. Yoshua Bengio
  10. Ehsaneddin Asgari

Papers from Jiangning Song's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Rectified Linear Units Improve Restricted Boltzmann Machines
  8. Gradient-based learning applied to document recognition
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers