Shaohui Kuang

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shaohui Kuang trusts overall

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

  1. Kyunghyun Cho
  2. Dzmitry Bahdanau
  3. Franz Joseph Och
  4. Tian Wang
  5. Yoshua Bengio
  6. Sébastien Jean
  7. Ilya Sutskever
  8. Stephen Della Pietra
  9. Longyue Wang
  10. Geoffrey E. Hinton

Who trusts Shaohui Kuang overall

  1. Kellie Webster
  2. Kalpesh Krishna
  3. Emily Pitler
  4. Yixiao Song

Papers from Shaohui Kuang's perspective

Ordered by how strongly the researchers Shaohui Kuang 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers