Shuxiao Chen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Artificial Intelligence — 41 citations into it
• Model Architectures — 15 citations into it
• Optimization & Training — 7 citations into it
• Scaling & Learning Theory — 6 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Shuxiao Chen trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Ekin Dogus Cubuk
7. Diederik P. Kingma
8. Ilya Sutskever
9. X. Zhang
10. Christian Szegedy

Who trusts Shuxiao Chen overall

1. Mingle Xu
2. Alexander Robey
3. Tom Ching LingChen
4. Sook Yoon
5. Luiz F. O. Chamon
6. Omid Nejati Manzari
7. Ava Khonsari

Papers from Shuxiao Chen's perspective

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

Their papers

• A Group-Theoretic Framework for Data Augmentation (2019) — 241 citations