Yu Deng

Artificial Intelligence · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it
• Molecular Biology — 60 citations into it
• Health Information Management — 27 citations into it
• Genetics — 18 citations into it
• Medical & Health AI — 8 citations into it
• Computational Mathematics — 6 citations into it
• Signal Processing — 6 citations into it

Whom Yu Deng trusts overall

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

1. Yuan Luo
2. Joshua Charles Denny
3. Geoffrey E. Hinton
4. Wei-Qi Wei
5. Katherine P. Liao
6. Olivier Bodenreider
7. Thien Huu Nguyen
8. Joyce Ho
9. Yoshua Bengio
10. Peter Szolovits

Papers from Yu Deng's perspective

Ordered by how strongly the researchers Yu Deng 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet: A large-scale hierarchical image database
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Natural Language Processing for EHR-Based Computational Phenotyping (2018) — 175 citations