Yuning Mao

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 144 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Yuning Mao trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Jacob Devlin
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Richard Socher
  9. Kaiming He
  10. Alex Graves

Who trusts Yuning Mao overall

  1. Luyu Gao
  2. Tanya Goyal
  3. Jamie Callan
  4. Martin Fajcik
  5. Jiefu Ou
  6. Shashi Narayan
  7. Daniel King
  8. Xueguang Ma
  9. Aman Madaan
  10. Haejun Lee

Papers from Yuning Mao's perspective

Ordered by how strongly the researchers Yuning Mao 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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. Gradient-based learning applied to document recognition
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers