Shangxing Wang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Shangxing Wang trusts overall

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

  1. Thomas S. Ferguson
  2. Diederik P. Kingma
  3. Ilya Sutskever
  4. Jimmy Ba
  5. Volodymyr Mnih
  6. Geoffrey E. Hinton
  7. Oriol Vinyals
  8. Alex Graves
  9. Karen Simonyan
  10. Yoshua Bengio

Who trusts Shangxing Wang overall

  1. Oshri Naparstek
  2. Amal Feriani
  3. Yiding Yu
  4. Nan Zhao
  5. JingJing Wang
  6. Kobi Cohen
  7. Ekram Hossain
  8. Taotao Wang
  9. Ying-Chang Liang

Papers from Shangxing Wang's perspective

Ordered by how strongly the researchers Shangxing 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers