Yan Wang

Computer Vision and Pattern Recognition · arXiv.org · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 469 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Yan Wang trusts overall

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

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

Who trusts Yan Wang overall

  1. Siyuan Qiao
  2. Chen Huang
  3. Zilin Gao
  4. Yongming Rao
  5. Ruoxi Deng
  6. Alan L. Yuille
  7. Wei Shen
  8. Yun Liu
  9. Saining Xie
  10. Jiangtao Xie

Papers from Yan Wang's perspective

Ordered by how strongly the researchers Yan 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers