Fengan Li

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #22,596 of 35,345 by trust here, #13,163 by citations
• Optimization & Training — 10 citations into it; #1,884 of 2,601 by trust here, #1,225 by citations
• Privacy & Security — 8 citations into it; #489 of 709 by trust here, #359 by citations

Whom Fengan Li trusts overall

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

1. Cynthia Dwork
2. Kamalika Chaudhuri
3. Martin A. Zinkevich
4. Neal Parikh
5. Frank McSherry
6. Adam D. Smith
7. Raef Bassily
8. Shuang Song
9. Xin-She Yang

Who trusts Fengan Li overall

1. H. Brendan McMahan
2. Vitaly Feldman
3. Om Thakkar
4. Stephanie L. Hyland
5. Chen Chen
6. Galen Andrew
7. Raef Bassily
8. Shahab Asoodeh
9. Mohammad Yaghini

Papers from Fengan Li's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differentially Private Empirical Risk Minimization
3. Deep Learning with Differential Privacy
4. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
5. The Algorithmic Foundations of Differential Privacy
6. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
7. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
8. Stochastic gradient descent with differentially private updates
9. Gradient-based learning applied to document recognition
10. Local Privacy and Statistical Minimax Rates

Their papers

• Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics (2016) — 239 citations