Shaoshan Liu

Proceedings of the IEEE · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shaoshan Liu trusts overall

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

  1. Jonathan Petit
  2. Morgan Quigley
  3. Anton Milan
  4. H. F. Durrant-Whyte
  5. L. Leal-Taix'e
  6. Shoudong Huang
  7. Yu Xiang
  8. Jesse Levinson
  9. Shanhe Yi
  10. Alex Krizhevsky

Who trusts Shaoshan Liu overall

  1. Khaled Ben Letaief

Papers from Shaoshan Liu's perspective

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

Their papers