Yutao Jiao

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 95 citations into it
• Computer Vision and Pattern Recognition — 29 citations into it
• Optimization & Training — 19 citations into it
• Privacy & Security — 14 citations into it
• ML Systems & Hardware — 8 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yutao Jiao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. H. Brendan McMahan
5. Yoshua Bengio
6. Ilya Sutskever
7. Kaiming He
8. C. Burges
9. Diederik P. Kingma
10. J. Urgen Schmidhuber

Papers from Yutao Jiao's perspective

Ordered by how strongly the researchers Yutao Jiao 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. Gradient-based learning applied to document recognition
4. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Dropout: a simple way to prevent neural networks from overfitting
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Federated Learning in Mobile Edge Networks: A Comprehensive Survey (2019) — 2,306 citations