Shibin Wang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shibin Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Mingsheng Long
  5. Kaiming He
  6. Yann LeCun
  7. Karen Simonyan
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Michael I. Jordan

Papers from Shibin Wang's perspective

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

Their papers