Bangzhou Xin

Artificial Intelligence · 2020

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 — 11 citations into it

Whom Bangzhou Xin trusts overall

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

1. Cynthia Dwork
2. Individualized Treat
3. James Jordon
4. Corentin Hardy
5. Robin C. Geyer
6. Ian J. Goodfellow
7. Tim Salimans
8. Liyang Xie
9. Martin Heusel
10. Geoffrey E. Hinton

Papers from Bangzhou Xin's perspective

Ordered by how strongly the researchers Bangzhou Xin 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. GENERATIVE ADVERSARIAL NETS
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning (2020) — 104 citations