Guangyong Chen

Computer Vision and Pattern Recognition · with Cao · 2022

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

• Computer Vision and Pattern Recognition — 108 citations into it
• Generative Models — 87 citations into it
• Artificial Intelligence — 64 citations into it
• Statistical and Nonlinear Physics — 31 citations into it
• Radiology, Nuclear Medicine and Imaging — 18 citations into it

Whom Guangyong Chen trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Yang Song
5. Alex Krizhevsky
6. Yoshua Bengio
7. Alex Nichol
8. Prafulla Dhariwal
9. Yann LeCun
10. Kaiming He

Papers from Guangyong Chen's perspective

Ordered by how strongly the researchers Guangyong Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• A Survey on Generative Diffusion Models (2022) — 571 citations