Xiao Sun

Computer Vision and Pattern Recognition · with Chen · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 35 citations into it
• Optimization & Training — 16 citations into it
• Model Architectures — 12 citations into it

Whom Xiao Sun trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Raghuraman Krishnamoorthi
7. Yoshua Bengio
8. X. Zhang
9. Andrew Zisserman
10. Jungwook Choi

Who trusts Xiao Sun overall

1. Charlie Blake

Papers from Xiao Sun's perspective

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

Their papers

• Ultra-Low Precision 4-bit Training of Deep Neural Networks (2020) — 217 citations
• Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks (2019) — 255 citations