Feng Gao

Artificial Intelligence · with Zhu · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 81 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Gao trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Kaiming He
  5. Ilya Sutskever
  6. Sepp Hochreiter
  7. Sergey Ioffe
  8. Yoshua Bengio
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Feng Gao overall

  1. Tyler L. Hayes
  2. Aditya Mogadala
  3. Sheng Hu
  4. Christopher Kanan
  5. Haozhe Zhao
  6. Yixin Zhu
  7. Yining Hong
  8. Marimuthu Kalimuthu
  9. Yuqing Ma

Papers from Feng Gao's perspective

Ordered by how strongly the researchers Feng Gao 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers