Shulin Liu

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Shulin Liu trusts overall

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

  1. Heng Ji
  2. Qi Li
  3. Thien Huu Nguyen
  4. Matthew D. Zeiler
  5. Ralph Grishman
  6. Tomas Mikolov
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Collin F. Baker
  10. Yubo Chen

Who trusts Shulin Liu overall

  1. Dichao Hu
  2. Jian Liu
  3. Pengfei Yu
  4. Ruiqi Zhong
  5. Yubo Chen
  6. Pengfei Cao
  7. Yujia Bao
  8. Sen Yang
  9. Heng Ji
  10. Steven Shao

Papers from Shulin Liu's perspective

Ordered by how strongly the researchers Shulin 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet: A large-scale hierarchical image database
  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