Yuenan Hou

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 136 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuenan Hou trusts overall

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

  1. L. Eon Bottou
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Richard S. Sutton
  6. Alex Krizhevsky
  7. Sergey Ioffe
  8. Yann LeCun
  9. Yoshua Bengio
  10. X. Zhang

Who trusts Yuenan Hou overall

  1. Lucas Tabelini
  2. Lizhe Liu
  3. Jianping Gou
  4. Che Wang
  5. Zequn Qin
  6. Aviral Kumar
  7. Ruijin Liu
  8. Hang Xu
  9. Changyong Shu
  10. Tu Zheng

Papers from Yuenan Hou's perspective

Ordered by how strongly the researchers Yuenan Hou 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers