Xinrui Li

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Reinforcement Learning — 8 citations into it

Whom Xinrui Li trusts overall

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

1. Yoshua Bengio
2. Kaiming He
3. Yann LeCun
4. Geoffrey E. Hinton
5. Richard S. Sutton
6. Alex Krizhevsky
7. Satinder Singh
8. Andrew Barto
9. Rico Jonschkowski
10. Diederik P. Kingma

Papers from Xinrui Li's perspective

Ordered by how strongly the researchers Xinrui Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Unsupervised state representation learning with robotic priors: a robustness benchmark (2017) — 33 citations