Ming Li

Artificial Intelligence · with Lin · 2019–2022

A researcher in the Science corpus: 11 papers; trusts 175 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Li trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Alex Graves
  7. Yann LeCun
  8. Richard Socher
  9. Jimmy Ba
  10. Dzmitry Bahdanau

Who trusts Ming Li overall

  1. Xu Tan
  2. Wei Yang
  3. Wenbo Wang
  4. Zeynep Akkalyoncu Yilmaz

Papers from Ming Li's perspective

Ordered by how strongly the researchers Ming Li 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. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  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