Bing Li

Artificial Intelligence · with Zhu · 2022

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Li trusts overall

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

  1. Sungjin Lee
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Arun Mallya
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. Kaiming He
  8. Hwaran Lee
  9. Yilin Shen
  10. Ilya Sutskever

Papers from Bing Li's perspective

Ordered by how strongly the researchers Bing 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers