Yang Liu

Artificial Intelligence · with Deng · 2006–2014

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Yang Liu trusts overall

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

  1. Andreas Stolcke
  2. Leo Breiman
  3. Andrew McCallum
  4. Thorsten Brants
  5. Chin-Yew Lin
  6. Stanley F. Chen
  7. Fei Sha
  8. Yoshua Bengio
  9. John D. Lafferty
  10. Fernando C Pereira

Who trusts Yang Liu overall

  1. Taylor Berg-Kirkpatrick
  2. Cheng-Han Chiang
  3. Greg Durrett
  4. Daniel Deutsch
  5. Alexander R. Fabbri
  6. Xu Tan
  7. Daniel Klein
  8. Ori Shapira
  9. Hung-yi Lee

Papers from Yang Liu's perspective

Ordered by how strongly the researchers Yang Liu 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. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers