Jingyi Hou

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 108 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingyi Hou trusts overall

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

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

Who trusts Jingyi Hou overall

  1. Ziqi Zhang
  2. Boxiao Pan

Papers from Jingyi Hou's perspective

Ordered by how strongly the researchers Jingyi 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  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