Zheng Hui

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 602 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Zheng Hui trusts overall

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

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

Who trusts Zheng Hui overall

  1. Zhisheng Lu
  2. Jie Liu
  3. Hong Liu
  4. Xiaotong Luo
  5. Saeed Anwar
  6. Juncheng Li
  7. Jinjin Gu
  8. Zhihao Wang
  9. Jie Tang
  10. Yanting Hu

Papers from Zheng Hui's perspective

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

Their papers