Wei Li

Artificial Intelligence · with Sun · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it; #34,592 of 35,345 by trust here, #11,192 by citations
• Privacy & Security — 29 citations into it
• Sociology and Political Science — 9 citations into it; #22,142 of 22,756 by trust here, #4,532 by citations
• Safety, Robustness & Interpretability — 6 citations into it
• Information Systems — 5 citations into it

Whom Wei Li trusts overall

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

1. Cynthia Dwork

Who trusts Wei Li overall

1. Franccoise Beaufays

Papers from Wei Li's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential Privacy
3. Long Short-Term Memory
4. Randomized response: a survey technique for eliminating evasive answer bias.
5. Deep Learning with Differential Privacy
6. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
7. The Algorithmic Foundations of Differential Privacy
8. Local Privacy and Statistical Minimax Rates
9. Differential Privacy: A Survey of Results
10. Collecting Telemetry Data Privately

Their papers

• APPLIED FEDERATED LEARNING: IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS (2018) — 715 citations
• Federated Heavy Hitters Discovery with Differential Privacy (2019) — 116 citations