Xiaofeng Mao

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaofeng Mao trusts overall

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

  1. Dan Hendrycks
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ian J. Goodfellow
  9. Jia Deng
  10. Ilya Sutskever

Who trusts Xiaofeng Mao overall

  1. Pavan Kumar Anasosalu Vasu
  2. Marvin Zhang
  3. Ao Wang
  4. J. Gabriel
  5. Jeff J. Zhu

Papers from Xiaofeng Mao's perspective

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

Their papers