Xiao Yan

Artificial Intelligence · with Cheng · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Xiao Yan trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Alex Krizhevsky
4. Santosh Srinivas Vempala
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Herv'e J'egou
8. Yann LeCun
9. Yoshua Bengio
10. X. Zhang

Who trusts Xiao Yan overall

1. Alireza Fallah
2. Canh T. Dinh

Papers from Xiao Yan's perspective

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

Their papers

• Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning (2019) — 51 citations