Hui Li

Artificial Intelligence · with Yu · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Privacy & Security — 10 citations into it

Whom Hui Li trusts overall

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

1. Anthony Dewayne Hunt
2. Jaideep Vaidya
3. Yehuda Lindell
4. Kamalika Chaudhuri
5. Jihun Hamm
6. Nicolas Papernot
7. H. Brendan McMahan
8. Alex Krizhevsky
9. Cynthia Dwork

Papers from Hui Li's perspective

Ordered by how strongly the researchers Hui Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Speech recognition with deep recurrent neural networks
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Blockchain-Based Privacy Preserving Deep Learning (2018) — 53 citations