Qing Zhang

Computer Vision and Pattern Recognition · with Fu · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Qing Zhang trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Sergey Ioffe
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Andrew L. Maas
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Qing Zhang overall

  1. Wenhan Yang
  2. Chongyi Li
  3. Chunle Guo
  4. Syed Waqas Zamir
  5. Feifan Lv

Papers from Qing Zhang's perspective

Ordered by how strongly the researchers Qing Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers