Guang Yang

Computer Vision and Pattern Recognition · with Dong · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guang Yang trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Sergey Ioffe
  4. Michael Lustig
  5. Geoffrey E. Hinton
  6. Richard Baraniuk
  7. Olaf Ronneberger
  8. Kaiming He
  9. Alex Krizhevsky
  10. Christian Szegedy

Who trusts Guang Yang overall

  1. Nahian Alam Siddique
  2. Xin Yi
  3. Faisal Mahmood
  4. Joseph Paul Cohen
  5. Maciej A. Mazurowski
  6. Yan Yang
  7. Sidike Paheding
  8. Florian Knoll
  9. Karim Armanious

Papers from Guang Yang's perspective

Ordered by how strongly the researchers Guang Yang 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers