Wei-Wei Tu

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 8 papers; trusts 385 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Wei-Wei Tu trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Barret Zoph
  5. Kaiming He
  6. Quoc V. Le
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Wei-Wei Tu overall

  1. Quanming Yao
  2. Yuhui Ding
  3. Zhen Wang
  4. Tong Yu

Papers from Wei-Wei Tu's perspective

Ordered by how strongly the researchers Wei-Wei Tu 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers