Yu Li

Computer Vision and Pattern Recognition · 2014–2023

A researcher in the Science corpus: 8 papers; trusts 1,149 researchers and is trusted by 73 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Li trusts overall

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

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

Who trusts Yu Li overall

  1. Wenhan Yang
  2. Xueyang Fu
  3. Ruoteng Li
  4. He Zhang
  5. Xiaojie Guo
  6. Robby T. Tan
  7. Jiaying Liu
  8. Vishal M. Patel
  9. Xuaner Cecilia Zhang
  10. Jun Xu

Papers from Yu Li's perspective

Ordered by how strongly the researchers Yu Li 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers