Shengzhi Xu
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
Whom Shengzhi Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shengzhi Xu's perspective
Ordered by how strongly the researchers Shengzhi Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Differential Privacy
- PrivBasis: Frequent Itemset Mining with Differential Privacy
- Mining frequent patterns without candidate generation
- Calibrating Noise to Sensitivity in Private Data Analysis
- Revealing information while preserving privacy
- Differentially private recommender systems: building privacy into the net
- ImageNet classification with deep convolutional neural networks
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
- Towards Sharp Inapproximability For Any 2-CSP
- ImageNet: A large-scale hierarchical image database
Their papers
- Differentially Private Frequent Sequence Mining (2016) — 30 citations