S. Zhang

Artificial Intelligence · with He · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it

Whom S. Zhang trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Ross B. Girshick
4. X. Zhang
5. Geoffrey E. Hinton
6. Shaoqing Ren
7. Alex Krizhevsky
8. Jimmy Ba
9. Yann LeCun
10. Yoshua Bengio

Papers from S. Zhang's perspective

Ordered by how strongly the researchers S. 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans (2020) — 393 citations