Shuang Chen

Artificial Intelligence · with Jiang · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Natural Language Processing — 36 citations into it
• Management Science and Operations Research — 12 citations into it

Whom Shuang Chen trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Jacob Devlin
5. Yoshua Bengio
6. Sepp Hochreiter
7. Ilya Sutskever
8. Tomas Mikolov
9. Wen-tau Yih
10. Ming-Wei Chang

Who trusts Shuang Chen overall

1. Xi Ye

Papers from Shuang Chen's perspective

Ordered by how strongly the researchers Shuang Chen 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering (2021) — 83 citations
• Improving Entity Linking by Modeling Latent Entity Type Information (2020) — 72 citations