Sen Wu

Artificial Intelligence · 2015–2020

A researcher in the Science corpus: 8 papers; trusts 205 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Sen Wu trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Alexander J. Ratner
  8. Ilya Sutskever
  9. Ekin Dogus Cubuk
  10. Quoc V. Le

Who trusts Sen Wu overall

  1. Alexander J. Ratner
  2. Paroma Varma
  3. Christopher R'e
  4. Braden Hancock
  5. Gabriel Recchia
  6. Benedikt Boecking
  7. Jared A. Dunnmon
  8. Jihwan Bang
  9. Stephen H. Bach
  10. Vincent S. Chen

Papers from Sen Wu's perspective

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

Their papers