Yonggang Zhang

Computer Vision and Pattern Recognition · with Liu · 2022

A researcher in the Science corpus: 1 paper; trusts 82 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 23 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Large Language Models — 10 citations into it

Whom Yonggang Zhang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Alec Radford
5. Andrew Zisserman
6. Li Fei-Fei
7. Yoshua Bengio
8. Jia Deng
9. Diederik P. Kingma
10. Yann LeCun

Papers from Yonggang Zhang's perspective

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

Their papers

• Prompt Distribution Learning (2022) — 353 citations