Chuanguang Yang

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 221 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 70 citations into it
• Artificial Intelligence — 58 citations into it
• Model Architectures — 23 citations into it
• Optimization & Training — 18 citations into it
• Neural Architecture Search & AutoML — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Chuanguang Yang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Christian Szegedy
6. Ross B. Girshick
7. Shaoqing Ren
8. Yann LeCun
9. Ilya Sutskever
10. Diederik P. Kingma

Papers from Chuanguang Yang's perspective

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

Their papers

• MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition (2022) — 82 citations
• EENA: Efficient Evolution of Neural Architecture (2019) — 47 citations