Ning Miao

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ning Miao trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Jeffrey Pennington
  4. Ilya Sutskever
  5. Richard Socher
  6. Courtney Napoles
  7. Chris Hokamp
  8. Joel R. Tetreault
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Ning Miao overall

  1. Ximing Lu
  2. Peter West
  3. Bryan Eikema
  4. Machel Reid
  5. Chaitra V. Hegde
  6. Sean Welleck
  7. Lei Sha
  8. Maxwell Nye
  9. Varun Prashant Gangal
  10. Jiefu Ou

Papers from Ning Miao's perspective

Ordered by how strongly the researchers Ning Miao 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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