Ying Xu

Molecular Biology · with Song · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ying Xu trusts overall

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

  1. The Uniprot Consortium
  2. Tomas Mikolov
  3. Quoc V. Le
  4. David T. Jones
  5. Ehsaneddin Asgari
  6. Yoshua Bengio
  7. Hsien-Da Huang
  8. Ilya Sutskever
  9. Stephen F. Altschul
  10. Tzong-Yi Lee

Who trusts Ying Xu overall

  1. Michael Heinzinger

Papers from Ying Xu's perspective

Ordered by how strongly the researchers Ying 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers