Guangrui Li

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Computer Vision and Pattern Recognition — 39 citations into it
• Representation & Self-Supervised Learning — 15 citations into it

Whom Guangrui Li trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Karen Simonyan
4. Alex Krizhevsky
5. Andrew Zisserman
6. Zhangjie Cao
7. Yoshua Bengio
8. Yann LeCun
9. Jia Deng
10. Ross B. Girshick

Papers from Guangrui Li's perspective

Ordered by how strongly the researchers Guangrui 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
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

• Domain Consensus Clustering for Universal Domain Adaptation (2021) — 151 citations