Yi Wang

Computer Vision and Pattern Recognition · 2008–2024

A researcher in the Science corpus: 24 papers; trusts 1,279 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Yi Wang trusts overall

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

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

Who trusts Yi Wang overall

  1. Yuqing Ma
  2. Weiwei Cai
  3. Kunchang Li
  4. Tsai-Shien Chen
  5. Håkon Hukkelås
  6. Jie Yang
  7. Shengyu Zhao
  8. Olivia Wiles
  9. Yinan He
  10. Zheng Hui

Papers from Yi Wang's perspective

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

Their papers