Yixin Liu

Artificial Intelligence · with Liu · 2021–2022

A researcher in the Science corpus: 7 papers; trusts 414 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Yixin Liu trusts overall

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

  1. Ilya Sutskever
  2. Diederik P. Kingma
  3. Chin-Yew Lin
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Oriol Vinyals
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Jimmy Ba
  10. Alex Graves

Who trusts Yixin Liu overall

  1. Pengfei Liu
  2. Jinlan Fu
  3. David Wan
  4. Shuyang Cao
  5. Dongfu Jiang
  6. Weizhe Yuan
  7. Graham Neubig
  8. Peng Liu
  9. Tanya Goyal
  10. Kalpesh Krishna

Papers from Yixin Liu's perspective

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

Their papers