Ye Qi

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 6 papers; trusts 13 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Ye Qi trusts overall

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

  1. Diederik P. Kingma
  2. Tomas Mikolov
  3. Yoshua Bengio
  4. Dzmitry Bahdanau
  5. Geoffrey E. Hinton
  6. Kyunghyun Cho
  7. Jimmy Ba
  8. Guillaume Lample
  9. Ilya Sutskever
  10. Alex Krizhevsky

Who trusts Ye Qi overall

  1. Graham Neubig
  2. Devendra Singh Sachan
  3. Holger Schwenk
  4. Surafel Melaku Lakew
  5. Antonios Anastasopoulos
  6. Toan Q. Nguyen
  7. Julian Salazar
  8. Yulia Tsvetkov
  9. Eleftheria Briakou
  10. Xian Li

Papers from Ye Qi's perspective

Ordered by how strongly the researchers Ye Qi 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers