Shuang Wang

Computer Vision and Pattern Recognition · with Chow · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shuang Wang trusts overall

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

  1. Thomas Hofmann
  2. Tomas Mikolov
  3. Quoc V. Le
  4. Xiaoyang Tan
  5. Börkur Sigurbjörnsson
  6. David M. Blei
  7. Franco Scarselli
  8. Timo Ojala
  9. James Ze Wang
  10. Julien Mairal

Papers from Shuang Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Efficient Estimation of Word Representations in Vector Space

Their papers