Runyu Mao

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Runyu Mao trusts overall

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

  1. Alex Krizhevsky
  2. Max Welling
  3. Kaiming He
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Andrew Zisserman
  7. Individualized Treat
  8. Yoshua Bengio
  9. Yann LeCun
  10. Corinna Cortes

Who trusts Runyu Mao overall

  1. Jiangpeng He
  2. Feng Zhu
  3. Liyuan Wang
  4. Bo Zhao

Papers from Runyu Mao's perspective

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

Their papers