Jianxin Li

Artificial Intelligence · AAAI Conference on Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 104 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jianxin Li trusts overall

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

  1. Geoffrey E. Hinton
  2. Thorsten Joachims
  3. Richard Socher
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Kaiming He
  7. Ilya Sutskever
  8. Tomas Mikolov
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Jianxin Li overall

  1. Tian Zhou

Papers from Jianxin Li's perspective

Ordered by how strongly the researchers Jianxin 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. 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. 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