Yongzhen Huang

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 7 papers; trusts 618 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Yongzhen Huang trusts overall

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

  1. Alex Krizhevsky
  2. Alex Graves
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Ross B. Girshick
  6. Kaiming He
  7. Thorsten Joachims
  8. Ilya Sutskever
  9. Yoshua Bengio
  10. David G. Lowe

Who trusts Yongzhen Huang overall

  1. Shiv Ram Dubey
  2. Cheng Deng
  3. Fan Hu
  4. Wu-Jun Li
  5. Liang Zheng
  6. Qing-Yuan Jiang
  7. Torben Teepe
  8. Beibei Lin
  9. Zihao Mu
  10. Chen Huang

Papers from Yongzhen Huang's perspective

Ordered by how strongly the researchers Yongzhen Huang 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers