Defang Chen

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 144 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Defang Chen trusts overall

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

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

Who trusts Defang Chen overall

  1. Jianping Gou
  2. Lin Wang
  3. Chenze Shao
  4. Liyuan Sun
  5. Yang Feng
  6. Kuk-Jin Yoon
  7. Baosheng Yu
  8. Dacheng Tao
  9. Chaoyang He

Papers from Defang Chen's perspective

Ordered by how strongly the researchers Defang Chen 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers