Han Liu

Artificial Intelligence · with Alorainy · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Han Liu trusts overall

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

  1. Quoc V. Le
  2. Omer Levy
  3. Tomas Mikolov
  4. Minqing Hu
  5. Hong Yu
  6. Adam Bermingham
  7. Björn Gambäck

Papers from Han Liu's perspective

Ordered by how strongly the researchers Han Liu 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers