Hui Liu

Artificial Intelligence · with Wang · 2018

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Liu trusts overall

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

  1. Diederik P. Kingma
  2. Yoon Kim
  3. Geoffrey E. Hinton
  4. Duyu Tang
  5. Yann LeCun
  6. Christopher D. Manning
  7. Yoshua Bengio
  8. Nabiha Asghar
  9. Jimmy Ba
  10. Richard Socher

Who trusts Hui Liu overall

  1. Ana Marasovic
  2. Piyawat Lertvittayakumjorn
  3. Sarah Wiegreffe
  4. Andreas Madsen
  5. Marzena Karpinska
  6. Swarnadeep Saha
  7. Xuhong Li
  8. Xisen Jin
  9. Francesca Toni
  10. Siva Reddy

Papers from Hui Liu's perspective

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

Their papers