Dayong Wang

Computer Vision and Pattern Recognition · with Beck · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Dayong Wang trusts overall

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

  1. Karen Simonyan
  2. Alex Krizhevsky
  3. Christian Szegedy
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. Ilya Sutskever
  7. Metin Nafi Gurcan
  8. Andrew H. Beck
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Dayong Wang overall

  1. Eu Wern Teh
  2. William Grant Hatcher
  3. Fanjie Kong
  4. Jonathan G. Richens
  5. Ajay Agrawal
  6. Hiroki Tokunaga
  7. Massimo Salvi
  8. Ciro Mennella
  9. Kyle Swanson
  10. Abeer Saber

Papers from Dayong Wang's perspective

Ordered by how strongly the researchers Dayong Wang 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. ImageNet Large Scale Visual Recognition Challenge
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers