Xiaoli Li

Molecular Biology · with Huan · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Xiaoli Li trusts overall

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

1. Naomi S. Altman
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Andrew McCallum
5. Hugo Larochelle
6. Ramón Díaz-Uriarte

Papers from Xiaoli Li's perspective

Ordered by how strongly the researchers Xiaoli 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. Dropout: a simple way to prevent neural networks from overfitting
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Caffe: Convolutional Architecture for Fast Feature Embedding
10. Going deeper with convolutions

Their papers

• Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data (2017) — 271 citations