Bei Shi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Bei Shi trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Yoon Kim
4. Duyu Tang
5. Geoffrey E. Hinton
6. Duy-Tin Vo
7. Dzmitry Bahdanau
8. Kaiming He
9. Jimmy Ba
10. Richard Socher

Papers from Bei Shi's perspective

Ordered by how strongly the researchers Bei Shi 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. GloVe: Global Vectors for Word Representation
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Transformation Networks for Target-Oriented Sentiment Classification (2018) — 474 citations