Yichen Gong

Artificial Intelligence · with Bowman · 2017

A researcher in the Science corpus: 2 papers; trusts 339 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Yichen Gong trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Matthew D. Zeiler
  5. Ilya Sutskever
  6. Richard Socher
  7. Diederik P. Kingma
  8. Kaiming He
  9. Yann LeCun
  10. Sepp Hochreiter

Who trusts Yichen Gong overall

  1. Debajyoti Chatterjee
  2. Reza Ghaeini
  3. Minghao Hu
  4. Jason Baldridge
  5. Zhiquan Ye
  6. Yi Tay
  7. John Miller
  8. Yao Zhao
  9. Tao Shen
  10. Yixin Nie

Papers from Yichen Gong's perspective

Ordered by how strongly the researchers Yichen Gong 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers