Yingying Jiang

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 138 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yingying Jiang trusts overall

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

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

Who trusts Yingying Jiang overall

  1. Xue Yang
  2. Junchi Yan
  3. Shangbang Long
  4. Minghui Liao
  5. Yixing Zhu
  6. Siliang Ma
  7. Yue Zhou
  8. Jian Ding
  9. Wen Qian
  10. Jirui Yang

Papers from Yingying Jiang's perspective

Ordered by how strongly the researchers Yingying Jiang 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. Long Short-Term Memory
  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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers