Ming Shao

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 619 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Shao trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Mingsheng Long
  6. Kaiming He
  7. Hal Daumé Iii
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts Ming Shao overall

  1. Hongfu Liu
  2. Wouter M. Kouw
  3. Yun Raymond Fu
  4. Zhengming Ding
  5. Marco Loog
  6. Tongliang Liu
  7. Ya Li
  8. Handong Zhao

Papers from Ming Shao's perspective

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

Their papers