Qingyuan Li

Computer Vision and Pattern Recognition · 2011–2022

A researcher in the Science corpus: 8 papers; trusts 242 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Qingyuan Li trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Quoc V. Le
  4. Geoffrey E. Hinton
  5. Mingxing Tan
  6. Barret Zoph
  7. Christian Szegedy
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. Jia Deng

Who trusts Qingyuan Li overall

  1. Ole‐Kristian Hope
  2. M. Benlemlih

Papers from Qingyuan Li's perspective

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

Their papers