Yongqing Wang

Artificial Intelligence · with Li · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongqing Wang trusts overall

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

  1. Yuhai Wu
  2. Vladimir Naumovich Vapni
  3. Pedro M. Domingos
  4. Dana Angluin
  5. Corinna Cortes
  6. Zhi-Hua Zhou
  7. Ricardo Vilalta
  8. Vladimir Naumovich Vapnik
  9. Thorsten Joachims
  10. Kyoung-jae Kim

Papers from Yongqing Wang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. The Nature of Statistical Learning Theory
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Statistical Learning Theory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Support-Vector Networks
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers