Yao Ming

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 71 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Yao Ming trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Kaiming He
  5. Alex Krizhevsky
  6. Alex Graves
  7. Diederik P. Kingma
  8. Matthew D. Zeiler
  9. Sepp Hochreiter
  10. Yann LeCun

Who trusts Yao Ming overall

  1. Cynthia Rudin
  2. Yongsu Ahn
  3. Sina Mohseni
  4. Christoph Molnar
  5. Dat Hong
  6. Fred Hohman
  7. Oscar Gomez
  8. Meike Nauta
  9. Pankaj Gupta
  10. Kangcheng Lin

Papers from Yao Ming's perspective

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

Their papers