Suyu Ge

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it; #32,279 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 20 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Model Architectures — 5 citations into it

Whom Suyu Ge trusts overall

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

1. Alan R. Aronson
2. Jeffrey Pennington
3. Xuezhe Ma
4. Hideki Isozaki
5. David Nadeau
6. Ronan Collobert
7. Yoon Kim
8. Richard Socher
9. Geoffrey E. Hinton
10. Yoshua Bengio

Who trusts Suyu Ge overall

1. Rodolfo Stoffel Antunes
2. Chuhan Wu
3. Fangzhao Wu

Papers from Suyu Ge's perspective

Ordered by how strongly the researchers Suyu Ge 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• FedNER: Medical Named Entity Recognition with Federated Learning (2020) — 23 citations
• FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning (2020) — 67 citations
• Neural News Recommendation with Multi-Head Self-Attention (2019) — 366 citations