Yeran Li

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Natural Language Processing — 15 citations into it

Whom Yeran Li trusts overall

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

1. Ronan Collobert
2. Matthew D. Zeiler
3. George Hripcsak
4. Yoon Kim
5. Geoffrey E. Hinton
6. Olivier Bodenreider
7. Yoshua Bengio
8. Yann LeCun

Papers from Yeran Li's perspective

Ordered by how strongly the researchers Yeran Li 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Comparing Rule-Based and Deep Learning Models for Patient Phenotyping (2017) — 45 citations
• Comparing deep learning and concept extraction based methods for patient phenotyping from clinical narratives (2018) — 199 citations