Shuang Feng

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuang Feng trusts overall

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

  1. Chih-Jen Lin
  2. G. Huang
  3. Jaka Demsar
  4. Hai-Jun Rong
  5. Nikola K. Kasabov
  6. Narasimhan Sundararajan
  7. C. L. Philip Chen
  8. Hongming Zhou
  9. Yann LeCun
  10. Geoffrey E. Hinton

Who trusts Shuang Feng overall

  1. Ieee C. L. Philip Chen Fellow

Papers from Shuang Feng's perspective

Ordered by how strongly the researchers Shuang Feng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. A Fast Learning Algorithm for Deep Belief Nets
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. LIBSVM: A library for support vector machines
  10. ImageNet: A large-scale hierarchical image database

Their papers