Kaiqiang Xu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 64 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Model Architectures — 18 citations into it
• Optimization & Training — 10 citations into it
• Neural Architecture Search & AutoML — 6 citations into it

Whom Kaiqiang Xu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Ilya Sutskever
5. Ilya Loshchilov
6. Yoshua Bengio
7. Quoc V. Le
8. Karen Simonyan
9. Barret Zoph
10. Yann LeCun

Papers from Kaiqiang Xu's perspective

Ordered by how strongly the researchers Kaiqiang Xu 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
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. Going deeper with convolutions

Their papers

• EENA: Efficient Evolution of Neural Architecture (2019) — 47 citations