Wenping Wang

Computer Vision and Pattern Recognition · Neural Information Processing Systems · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 196 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wenping Wang trusts overall

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

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

Who trusts Wenping Wang overall

  1. Jonathan T. Barron
  2. Pratul P. Srinivasan

Papers from Wenping Wang's perspective

Ordered by how strongly the researchers Wenping 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. ImageNet classification with deep convolutional neural networks
  3. Attention is All you Need (Neural Information Processing Systems)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers