Hanqun Cao

Computer Vision and Pattern Recognition · 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 Hanqun Cao trusts overall

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

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

Papers from Hanqun Cao's perspective

Ordered by how strongly the researchers Hanqun Cao 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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