Song Gao

Transportation · International Journal of Geographical Information Science · 2012–2020

A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Song Gao trusts overall

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

  1. Peter J. Rousseeuw
  2. Huaiyu Zhu
  3. Jianhua Lin
  4. T. Griffiths
  5. Alexander Strehl
  6. Jing Yuan
  7. David M. Blei
  8. Renato Martins Assunção
  9. R. Arun
  10. Shan Jiang

Papers from Song Gao's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers