Chenggang Clarence Yan

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 13 papers; trusts 875 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Chenggang Clarence Yan trusts overall

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

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

Who trusts Chenggang Clarence Yan overall

  1. Xing Chen
  2. Cheng Deng
  3. Deng-Ping Fan
  4. Dongkai Wang
  5. Biao Gong

Papers from Chenggang Clarence Yan's perspective

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

Their papers