Shuangyin Li

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Natural Language Processing — 22 citations into it
• Model Architectures — 9 citations into it
• Reinforcement Learning — 5 citations into it

Whom Shuangyin Li trusts overall

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

1. Alex Graves
2. Diederik P. Kingma
3. Yoshua Bengio
4. L. Eon Bottou
5. Geoffrey E. Hinton
6. Yann LeCun
7. Jimmy Ba
8. Alex Krizhevsky
9. Sepp Hochreiter
10. Tomas Mikolov

Papers from Shuangyin Li's perspective

Ordered by how strongly the researchers Shuangyin Li 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Personalizing a Dialogue System With Transfer Reinforcement Learning (2016) — 97 citations
• Length Adaptive Recurrent Model for Text Classification (2017) — 24 citations