Qingquan Li

Computer Vision and Pattern Recognition · Pattern Recognition Letters · 2012–2019

A researcher in the Science corpus: 4 papers; trusts 96 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingquan Li trusts overall

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

  1. John F. Canny
  2. Paul J. Werbos
  3. C. Burges
  4. Z. Kim
  5. Yoav Freund
  6. José Manuel Álvarez
  7. Joel C. McCall
  8. Cheng-Lung Huang
  9. Chein-I. Chang
  10. Karen Simonyan

Who trusts Qingquan Li overall

  1. Billy Pik Lik Lau
  2. Seongdeok Bang

Papers from Qingquan Li's perspective

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

Their papers