Yang Gao

Artificial Intelligence · European Physical Journal C: Particles and Fields · 2012–2021

A researcher in the Science corpus: 27 papers; trusts 734 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Gao trusts overall

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

  1. Chin-Yew Lin
  2. Diederik P. Kingma
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Julia Kreutzer
  7. Alex Krizhevsky
  8. Kaiming He
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Yang Gao overall

  1. Florian Böhm
  2. Wei Zhao
  3. Daniel M. Ziegler
  4. Christian M. Meyer
  5. Y. Liu
  6. Johnny Tian-Zheng Wei
  7. Tanya Goyal
  8. Ori Shapira
  9. Jeff Wu
  10. Marvin Kaster

Papers from Yang Gao's perspective

Ordered by how strongly the researchers Yang 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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