Qi-An Fu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Safety, Robustness & Interpretability — 48 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it

Whom Qi-An Fu trusts overall

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

1. Alex Krizhevsky
2. Ian J. Goodfellow
3. Diederik P. Kingma
4. Kaiming He
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Nicholas Carlini
8. Yoshua Bengio
9. Yann LeCun
10. Ilya Sutskever

Papers from Qi-An Fu's perspective

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

Their papers

• Benchmarking Adversarial Robustness on Image Classification (2020) — 304 citations