Sai-Fu Fung

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Statistical and Nonlinear Physics — 27 citations into it
• Graph Learning — 21 citations into it
• Generative Models — 9 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Sai-Fu Fung trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Max Welling
4. Yoshua Bengio
5. Yann LeCun
6. Tomas Mikolov
7. Alex Krizhevsky
8. Thomas Kipf
9. Individualized Treat
10. Ilya Sutskever

Papers from Sai-Fu Fung's perspective

Ordered by how strongly the researchers Sai-Fu Fung 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Graph Embedding With Adversarial Training Methods (2019) — 347 citations
• Privacy-Preserving Stochastic Gradual Learning (2018) — 9 citations