Gang Chen

Computer Networks and Communications · IEEE Transactions on Knowledge and Data Engineering · 2014–2018

A researcher in the Science corpus: 6 papers; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gang Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Muthu Dayalan
  3. David G. Lowe
  4. Alex Krizhevsky
  5. Alex Graves
  6. Alfons Kemper
  7. Yoshua Bengio
  8. Kaiming He
  9. Thomas Neumann
  10. Ilya Sutskever

Papers from Gang Chen's perspective

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

Their papers