Libing Wu

Artificial Intelligence · with Li · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Libing Wu trusts overall

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

  1. Ruslan Salakhutdinov
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. David M. Blei
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Andriy Mnih
  8. Steffen Rendle
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Libing Wu overall

  1. Xu Chen
  2. Yongfeng Zhang
  3. Zheng Qin

Papers from Libing Wu's perspective

Ordered by how strongly the researchers Libing Wu 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers