Fei Sun

Artificial Intelligence · with Cui · 2020

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it
• Information Systems — 85 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Management Science and Operations Research — 20 citations into it
• Recommender Systems — 20 citations into it
• Graph Learning — 18 citations into it

Whom Fei Sun trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Diederik P. Kingma
4. Yehuda Koren
5. Xiangnan He
6. Sepp Hochreiter
7. Hongwei Wang
8. Yann LeCun
9. Alex Krizhevsky
10. Ruslan Salakhutdinov

Papers from Fei Sun's perspective

Ordered by how strongly the researchers Fei 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Graph Neural Networks in Recommender Systems: A Survey (2020) — 1,821 citations