Yang Wang

Computer Vision and Pattern Recognition · with Hoai · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 276 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Wang trusts overall

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

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

Papers from Yang Wang's perspective

Ordered by how strongly the researchers Yang Wang 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers