Hanqing Zhao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanqing Zhao trusts overall

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

  1. Diederik P. Kingma
  2. Mingxing Tan
  3. Yuezun Li
  4. Geoffrey E. Hinton
  5. Jimmy Ba
  6. Gao Huang
  7. Alex Krizhevsky
  8. Kaiming He
  9. Ross B. Girshick
  10. Quoc V. Le

Who trusts Hanqing Zhao overall

  1. Kaede Shiohara
  2. Zhiyuan Yan
  3. Yong Zhang
  4. Junke Wang
  5. Arash Heidari
  6. Junyi Cao
  7. Toshihiko Yamasaki

Papers from Hanqing Zhao's perspective

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

Their papers