Wennan Zhu

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 196 citations into it
• Privacy & Security — 49 citations into it
• Information Systems — 12 citations into it
• Management Science and Operations Research — 9 citations into it
• Natural Language Processing — 5 citations into it

Whom Wennan Zhu trusts overall

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

1. Cynthia Dwork
2. Alec Go
3. Luca Bonomi
4. Krishnaram Kenthapadi
5. Bolin Ding
6. Ilias Diakonikolas
7. Kobbi Nissim
8. Alexandre V. Evfimievski
9. Shiva Prasad Kasiviswanathan
10. Keith Bonawitz

Who trusts Wennan Zhu overall

1. Eugene Bagdasarian
2. Vitaly Shmatikov
3. Alireza Fallah

Papers from Wennan Zhu's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Randomized response: a survey technique for eliminating evasive answer bias.
3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
4. The Algorithmic Foundations of Differential Privacy
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Differential Privacy
8. Differential Privacy: A Survey of Results
9. What Can We Learn Privately?
10. Gradient-based learning applied to document recognition

Their papers

• Federated Heavy Hitters Discovery with Differential Privacy (2019) — 116 citations
• A Field Guide to Federated Optimization (2021) — 487 citations