Zhangyang Wang

Computer Vision and Pattern Recognition · 3 papers · 2023

A researcher in the Science corpus: 3 papers; trusts 156 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Zhangyang Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Jonathan T. Barron
  3. Ben Mildenhall
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Kaiming He
  7. Johannes L. Schönberger
  8. Yann LeCun
  9. Yoshua Bengio
  10. Alex Yu

Who trusts Zhangyang Wang overall

  1. Wenguan Wang
  2. Guikun Chen

Papers from Zhangyang Wang's perspective

Ordered by how strongly the researchers Zhangyang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers