Shuling Wang

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuling Wang trusts overall

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

  1. Diederik P. Kingma
  2. Fisher Yu
  3. Andreas Geiger
  4. Kaiming He
  5. Jimmy Ba
  6. Geoffrey E. Hinton
  7. David Eigen
  8. Alex Krizhevsky
  9. Xinjing Cheng
  10. Ross B. Girshick

Who trusts Shuling Wang overall

  1. Tianwei Yin

Papers from Shuling Wang's perspective

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

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

Their papers