Chengshu Li

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 9 papers; trusts 249 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Chengshu Li trusts overall

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

  1. Richard S. Sutton
  2. Sergey Levine
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Kaiming He
  8. John Schulman
  9. Yann LeCun
  10. Fei Xia

Who trusts Chengshu Li overall

  1. Fei Xia
  2. Bokui (William) Shen
  3. Roberto Mart'in-Mart'in
  4. Luca Weihs
  5. Anthony Brohan
  6. Linxi (Jim) Fan
  7. Ruohan Zhang
  8. Matt Deitke
  9. Jimmy Wu
  10. Soroush Nasiriany

Papers from Chengshu Li's perspective

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

Their papers