Liang Feng

Artificial Intelligence · IEEE Transactions on Cybernetics · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Liang Feng trusts overall

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

  1. Kalyanmoy Deb
  2. Abhishek Gupta
  3. Yew-Soon Ong
  4. Alex Krizhevsky
  5. Xavier Glorot
  6. Eckart Zitzler
  7. Antoine Bordes
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Ilya Sutskever

Who trusts Liang Feng overall

  1. Abhishek Gupta
  2. Yew-Soon Ong
  3. Eneko Osaba
  4. Yaochu Jin

Papers from Liang Feng's perspective

Ordered by how strongly the researchers Liang Feng 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers