Ruixin Yang

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 Ruixin Yang 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. Tsung-Yi Lin
7. Karen Simonyan
8. Wei David Liu
9. Alex Krizhevsky
10. Yann LeCun

Papers from Ruixin Yang's perspective

Ordered by how strongly the researchers Ruixin Yang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
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