Han Liu

Artificial Intelligence · with Zhou · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 22 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. Jacob Devlin
  2. Sepp Hochreiter
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Jesse Vig
  7. J. Urgen Schmidhuber
  8. Yann LeCun
  9. Kyunghyun Cho
  10. Alex Krizhevsky

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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers