Li Zhou

Artificial Intelligence · with Gao · 2018

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Li Zhou trusts overall

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

  1. Ilya Sutskever
  2. Oriol Vinyals
  3. Joseph Weizenbaum
  4. Yoshua Bengio
  5. Iulian Serban
  6. Alessandro Sordoni
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Quoc V. Le
  10. Anna Schmidt

Who trusts Li Zhou overall

  1. Endang Wahyu Pamungkas
  2. Stephen Roller
  3. Natasha Jaques
  4. Minlie Huang
  5. Guendalina Caldarini
  6. Yixin Nie
  7. Kurt Shuster
  8. Jungseob Lee
  9. Yihan Cao
  10. Jan Deriu

Papers from Li Zhou's perspective

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

Their papers