Puyang Xu

Artificial Intelligence · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 99 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Puyang Xu trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Jason Aaron Edward Weston
  4. Diederik P. Kingma
  5. Joshua Goodman
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Oriol Vinyals
  9. Ronan Collobert
  10. Antoine Bordes

Who trusts Puyang Xu overall

  1. Rie Johnson
  2. Yilin Shen
  3. Young-Bum Kim
  4. Bing Liu
  5. Yu Wang
  6. Tong Zhang
  7. Xiaodong Zhang
  8. Qian Chen
  9. Tomas Mikolov
  10. Zijian Zhao

Papers from Puyang Xu's perspective

Ordered by how strongly the researchers Puyang Xu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers