Zhihang Yuan

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it
• Artificial Intelligence — 49 citations into it
• Generative Models — 21 citations into it
• Model Architectures — 15 citations into it

Whom Zhihang Yuan trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yann LeCun
6. Karen Simonyan
7. Yoshua Bengio
8. Ilya Sutskever
9. Barret Zoph
10. Ross B. Girshick

Who trusts Zhihang Yuan overall

1. Yizeng Han

Papers from Zhihang Yuan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Post-Training Quantization on Diffusion Models (2022) — 336 citations
• S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search (2019) — 33 citations