Xixin Wu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xixin Wu trusts overall

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

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

Who trusts Xixin Wu overall

  1. Tomás Nekvinda
  2. Zhaoxi Mu

Papers from Xixin Wu's perspective

Ordered by how strongly the researchers Xixin 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers