Weihan Wang

Computer Vision and Pattern Recognition · 2023–2024

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weihan Wang trusts overall

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

  1. Noam Shazeer
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. Ilya Sutskever
  9. Yann LeCun
  10. Quan-Sen Sun

Who trusts Weihan Wang overall

  1. Hugo Laurençon
  2. Wenyi Hong
  3. Xi-Wei Hu
  4. Xingyu Fu
  5. Shilong Zhang
  6. Jiabo Ye

Papers from Weihan Wang's perspective

Ordered by how strongly the researchers Weihan Wang 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. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Going deeper with convolutions

Their papers