Binhua Li

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Binhua Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard Socher
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Oriol Vinyals
  7. Ilya Sutskever
  8. Yann LeCun
  9. Kaiming He
  10. Jeffrey Pennington

Who trusts Binhua Li overall

  1. Trapit Bansal

Papers from Binhua Li's perspective

Ordered by how strongly the researchers Binhua 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. ImageNet classification with deep convolutional neural networks
  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. 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. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers