Limin Yao

Artificial Intelligence · 2008–2013

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 117 researchers here, as inferred from the citation graph.

Subfields

Whom Limin Yao trusts overall

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

  1. Dekang Lin
  2. David M. Blei
  3. Andrew McCallum
  4. Michael Collins
  5. Hoifung Poon
  6. Andrew Y. Ng
  7. Sebastian Riedel
  8. T. Griffiths
  9. Michael I. Jordan
  10. Jenny Rose Finkel

Who trusts Limin Yao overall

  1. Alan Ritter
  2. Xu Han
  3. Sebastian Riedel
  4. Rajarshi Das
  5. Andrew McCallum
  6. Yankai Lin
  7. Diego Marcheggiani
  8. Mihai Surdeanu
  9. Alisa Smirnova
  10. Charu C. Aggarwal

Papers from Limin Yao's perspective

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

Their papers