Lijie Chen

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Privacy & Security — 30 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Statistics and Probability — 10 citations into it

Whom Lijie Chen trusts overall

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

1. Cynthia Dwork
2. Yihong Wu
3. Mark Zhandry
4. Paul Valiant
5. Albert Cheu
6. Yuval Ishai
7. Ilya Mironov
8. Scott Aaronson
9. Jonathan Ullman
10. Ú. Erlingsson

Who trusts Lijie Chen overall

1. Sergey Bravyi
2. Badih Ghazi
3. Albert Cheu
4. Nathan Killoran

Papers from Lijie Chen's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
3. Randomized response: a survey technique for eliminating evasive answer bias.
4. Our Data, Ourselves: Privacy Via Distributed Noise Generation
5. Efficient noise-tolerant learning from statistical queries
6. Local Privacy and Statistical Minimax Rates
7. Towards Sharp Inapproximability For Any 2-CSP
8. Revealing information while preserving privacy
9. Cryptography from Anonymity
10. Prochlo: Strong Privacy for Analytics in the Crowd

Their papers

• On Distributed Differential Privacy and Counting Distinct Elements (2020) — 35 citations
• Complexity-Theoretic Foundations of Quantum Supremacy Experiments (2016) — 393 citations