Jiayuan Mao

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 9 papers; trusts 1,155 researchers and is trusted by 168 researchers here, as inferred from the citation graph.

Subfields

Whom Jiayuan Mao trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Yann LeCun
  9. Karen Simonyan
  10. Shaoqing Ren

Who trusts Jiayuan Mao overall

  1. Zhenfang Chen
  2. Yining Hong
  3. Chunluan Zhou
  4. Brenden M. Lake
  5. Josh Tenenbaum
  6. Chuang Gan
  7. Drew A. Hudson
  8. Liquan Zhao
  9. Aditya Mogadala
  10. A.S. d'Avila Garcez

Papers from Jiayuan Mao's perspective

Ordered by how strongly the researchers Jiayuan 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. 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. ImageNet: A large-scale hierarchical image database
  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