Songcan Chen

Computer Vision and Pattern Recognition · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2003–2018

A researcher in the Science corpus: 9 papers; trusts 539 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

Whom Songcan Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Bernhard Schölkopf
  3. Yuhai Wu
  4. Alex Krizhevsky
  5. Kaiming He
  6. Yoshua Bengio
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Mark A. Girolami
  10. Ilya Sutskever

Who trusts Songcan Chen overall

  1. Tao Lei
  2. Soumi Ghosh
  3. N. Gordillo
  4. Weiling Cai
  5. Zhen Ma
  6. Xiaohong Jia
  7. Maoguo Gong
  8. Maurizio Filippone
  9. Yuhui Zheng
  10. Yijie Lin

Papers from Songcan Chen's perspective

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

Their papers