Sufeng Duan

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Natural Language Processing — 66 citations into it
• Computer Vision and Pattern Recognition — 38 citations into it
• Model Architectures — 15 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Sufeng Duan trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Dzmitry Bahdanau
7. Rico Sennrich
8. Philipp Koehn
9. Yann LeCun
10. Kyunghyun Cho

Who trusts Sufeng Duan overall

1. Steven Y. Feng

Papers from Sufeng Duan's perspective

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

Their papers

• SG-Net: Syntax-Guided Machine Reading Comprehension (2019) — 195 citations
• Syntax-Aware Data Augmentation for Neural Machine Translation (2020) — 23 citations