Liren Chen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Liren Chen trusts overall

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

  1. Yi Sun
  2. Geoffrey E. Hinton
  3. Jia Deng
  4. Alex Krizhevsky
  5. Kaiming He
  6. Andrew Zisserman
  7. Yann LeCun
  8. Yandong Wen
  9. Yoshua Bengio
  10. Hongwei Ng

Who trusts Liren Chen overall

  1. Xiao Jin
  2. Baoyun Peng

Papers from Liren Chen's perspective

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

Their papers