Rui Hu

Artificial Intelligence · with Gong · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Privacy & Security — 16 citations into it
• Computer Networks and Communications — 14 citations into it
• Optimization & Training — 11 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Rui Hu trusts overall

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

1. Cynthia Dwork
2. Shai Shalev-Shwartz
3. H. Brendan McMahan
4. Reza Shokri
5. Martín Abadi
6. Ilya Mironov
7. Tong Zhang
8. Jakub Konecný
9. Aaron Roth
10. Kamalika Chaudhuri

Who trusts Rui Hu overall

1. Xuefei Yin
2. Dinh C. Nguyen
3. Mang Ye
4. Xueru Zhang
5. Yanming Zhu
6. Yaochen Hu

Papers from Rui Hu's perspective

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

Their papers

• Personalized Federated Learning With Differential Privacy (2020) — 325 citations
• DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy (2018) — 236 citations