Qingquan Song

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 10 papers; trusts 857 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Qingquan Song trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Kaiming He
  6. Yann LeCun
  7. Karen Simonyan
  8. Barret Zoph
  9. Ilya Sutskever
  10. Christian Szegedy

Who trusts Qingquan Song overall

  1. Colin White
  2. Kaixiong Zhou
  3. Xia Hu
  4. Yi-Wei Chen
  5. Marius Thomas Lindauer
  6. Sina Mohseni
  7. Xin He
  8. Liam Li
  9. Ziqi Yang
  10. Quanming Yao

Papers from Qingquan Song's perspective

Ordered by how strongly the researchers Qingquan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers