Yichun Yin

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 7 papers; trusts 102 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Yichun Yin trusts overall

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

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

Who trusts Yichun Yin overall

  1. Bohan Li
  2. Zi-Mei Yao
  3. Lu Hou
  4. Sehoon Kim
  5. Jimmy J. Lin
  6. James Lee-Thorp
  7. Silin Gao
  8. Canwen Xu
  9. J. Scott McCarley
  10. Minjia Zhang

Papers from Yichun Yin's perspective

Ordered by how strongly the researchers Yichun Yin 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  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