Meili Sun

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Model Architectures — 14 citations into it
• Signal Processing — 13 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Meili Sun trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Robert Tibshirani
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ross B. Girshick
7. Yann LeCun
8. Shaoqing Ren
9. Ilya Sutskever
10. Aapo Hyvärinen

Papers from Meili Sun's perspective

Ordered by how strongly the researchers Meili Sun 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Feature dimensionality reduction: a review (2022) — 678 citations