F. Gao

Electrical and Electronic Engineering · IEEE Transactions on Communications · 2008–2022

A researcher in the Science corpus: 8 papers; trusts 39 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom F. Gao trusts overall

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

  1. Boris Rankov
  2. J. Nicholas Laneman
  3. Yindi Jing
  4. Mehrzad Biguesh
  5. T. Marzetta
  6. Petar Popovski
  7. Armin Wittneben
  8. Babak Hassibi
  9. Gregory W. Wornell
  10. Diederik P. Kingma

Who trusts F. Gao overall

  1. Gang Yang
  2. Ying-Chang Liang
  3. Rui Zhang
  4. Chao-Kai Wen
  5. Hongji Huang
  6. Alessio Zappone
  7. Jiajia Guo

Papers from F. Gao's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers