Gao Cong

Artificial Intelligence · 2007–2021

A researcher in the Science corpus: 15 papers; trusts 231 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Gao Cong trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Ilya Sutskever
  5. Alex Graves
  6. Alex Krizhevsky
  7. Sepp Hochreiter
  8. Tomas Mikolov
  9. Yann LeCun
  10. Ruslan Salakhutdinov

Who trusts Gao Cong overall

  1. Ihab F. Ilyas
  2. Xu Chu
  3. Yongfeng Zhang
  4. Xin Cao
  5. Mohamed Yakout
  6. Lisi Chen
  7. Fei Chiang
  8. Solmaz Kolahi
  9. Ziawasch Abedjan
  10. Wenfei Fan

Papers from Gao Cong's perspective

Ordered by how strongly the researchers Gao Cong 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers