Qinghua Wu

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qinghua Wu trusts overall

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

  1. Jean-Marc Valin
  2. Ashish Vaswani
  3. Yuxuan Wang
  4. Jonathan Shen
  5. Jan Skoglund
  6. Yu Zhang
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Diederik P. Kingma
  10. Noam Shazeer

Papers from Qinghua Wu's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. WaveNet: A Generative Model for Raw Audio
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers