Xiang Yin

Artificial Intelligence · with Zhang · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiang Yin trusts overall

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

  1. Jacob Devlin
  2. Geoffrey E. Hinton
  3. Yuxuan Wang
  4. Tomas Mikolov
  5. Ilya Sutskever
  6. Richard Sproat
  7. Jie Yang
  8. Yoshua Bengio
  9. John D. Lafferty
  10. Diederik P. Kingma

Who trusts Xiang Yin overall

  1. Zhaoxi Mu
  2. Xu Tan

Papers from Xiang Yin's perspective

Ordered by how strongly the researchers Xiang Yin 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. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers