Xuhong Li

Artificial Intelligence · with Dou · 2021

A researcher in the Science corpus: 2 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 224 citations into it
• Computer Vision and Pattern Recognition — 72 citations into it
• Safety, Robustness & Interpretability — 72 citations into it
• Model Architectures — 12 citations into it

Whom Xuhong Li trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Karen Simonyan
6. Kaiming He
7. Yann LeCun
8. Ilya Sutskever
9. Ross B. Girshick
10. Andrew Zisserman

Papers from Xuhong Li's perspective

Ordered by how strongly the researchers Xuhong 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond (2021) — 507 citations
• From distributed machine learning to federated learning: a survey (2021) — 358 citations