Xingcheng Yao

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Xingcheng Yao trusts overall

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

  1. Geoffrey E. Hinton
  2. Eneko Agirre
  3. Kaiming He
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Ilya Sutskever
  8. Richard Socher
  9. Daniel Matthew Cer
  10. Bo Pang

Who trusts Xingcheng Yao overall

  1. Niklas Muennighoff
  2. Bowen Zhang
  3. Hong-Liu Cao
  4. Liang Wang
  5. Hayato Tsukagoshi
  6. Chunping Li
  7. Shuyang Cao
  8. Junliang Yu
  9. Jiacheng Li
  10. Katikapalli Subramanyam Kalyan

Papers from Xingcheng Yao's perspective

Ordered by how strongly the researchers Xingcheng Yao 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers