Guanling Chen

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Guanling Chen trusts overall

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

  1. Paramvir Victor Bahl
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. V. Padmanabhan
  7. Yann LeCun
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Matthew D. Zeiler

Who trusts Guanling Chen overall

  1. Louise Barkhuus
  2. Moustafa Youssef
  3. Anind K. Dey
  4. Philipp Bolliger
  5. Upkar Varshney
  6. Tao Gu
  7. Kim Halskov
  8. Ashok K. Agrawala
  9. Thomas Strang
  10. Mahadev Satyanarayanan

Papers from Guanling Chen's perspective

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

Their papers