Shunan Sheng

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Shunan Sheng trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Kaiming He
6. Jia Deng
7. Yoshua Bengio
8. Jimmy Ba
9. Ilya Sutskever
10. Yann LeCun

Papers from Shunan Sheng's perspective

Ordered by how strongly the researchers Shunan Sheng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Learning Multiple Layers of Features from Tiny Images
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Microsoft COCO: Common Objects in Context
10. Going deeper with convolutions

Their papers

• Balanced Meta-Softmax for Long-Tailed Visual Recognition (2020) — 801 citations