XingYu Fu

Artificial Intelligence · with Dong · 2018

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

Subfields

• Artificial Intelligence — 6 citations into it

Whom XingYu Fu trusts overall

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

1. Alex Krizhevsky
2. Sebastian Ruder
3. Geoffrey E. Hinton
4. Sergey Ioffe
5. Saso Dzeroski
6. Ilya Sutskever
7. Nitish Srivastava
8. Christian Szegedy
9. Yoshua Bengio
10. David Silver

Papers from XingYu Fu's perspective

Ordered by how strongly the researchers XingYu Fu 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Dropout: a simple way to prevent neural networks from overfitting
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Machine Learning Framework for Stock Selection (2018) — 32 citations