Chao Wang

Artificial Intelligence · with Kao · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chao Wang trusts overall

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

  1. Alex Graves
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Sepp Hochreiter
  7. J. Urgen Schmidhuber
  8. Kaiming He
  9. Ilya Sutskever
  10. Yann LeCun

Papers from Chao Wang's perspective

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

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

Their papers