Yuxiang Wang

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuxiang Wang trusts overall

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

  1. Franz Aurenhammer
  2. Joseph B. Kruskal
  3. Steven J. Fortune
  4. Karen Simonyan

Papers from Yuxiang Wang's perspective

Ordered by how strongly the researchers Yuxiang Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. GloVe: Global Vectors for Word Representation
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers