Yingyan Yu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 167 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Yingyan Yu trusts overall

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

1. Liang-Chieh Chen
2. Ross B. Girshick
3. Kaiming He
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Tsung-Yi Lin
8. Alex Krizhevsky
9. Wei David Liu
10. Yann LeCun

Papers from Yingyan Yu's perspective

Ordered by how strongly the researchers Yingyan Yu 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. Going deeper with convolutions
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (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

• Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis (2021) — 296 citations