Wei Li

Artificial Intelligence · 2 papers · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wei Li trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Karen Simonyan
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Shaoqing Ren
  10. Yann LeCun

Who trusts Wei Li overall

  1. Weizhe Lin
  2. Taichi Iki
  3. Junnan Li
  4. Yan Zeng
  5. Wenhui Wang
  6. Ming Yan
  7. Woojeong Jin
  8. Zirui Wang
  9. Yongfei Liu
  10. Xiangru Zhu

Papers from Wei Li's perspective

Ordered by how strongly the researchers Wei 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers