Yudong Zhang

Computer Vision and Pattern Recognition · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 101 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 47 citations into it
• Artificial Intelligence — 21 citations into it
• Radiology, Nuclear Medicine and Imaging — 17 citations into it
• Model Architectures — 9 citations into it
• Biomedical Engineering — 5 citations into it

Whom Yudong Zhang trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Yann LeCun
4. Shaoqing Ren
5. Alex Krizhevsky
6. Geoffrey E. Hinton
7. Ross B. Girshick
8. Yoshua Bengio
9. Andrew Zisserman
10. Liang-Chieh Chen

Papers from Yudong Zhang's perspective

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

Their papers

• A Review of Deep-Learning-Based Medical Image Segmentation Methods (2021) — 759 citations