Rui Chen

Artificial Intelligence · with Fung · 2010–2013

A researcher in the Science corpus: 4 papers; trusts 57 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 116 citations into it; #11,489 of 35,345 by trust here, #8,283 by citations
• Privacy & Security — 40 citations into it; #618 of 709 by trust here, #336 by citations
• Sociology and Political Science — 35 citations into it; #8,592 of 22,756 by trust here, #3,644 by citations
• Computational Theory and Mathematics — 16 citations into it
• Management Science and Operations Research — 16 citations into it
• Computer Science Applications — 13 citations into it
• Statistics and Probability — 11 citations into it; #10,594 of 12,932 by trust here, #8,740 by citations
• Safety, Robustness & Interpretability — 8 citations into it

Whom Rui Chen trusts overall

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

1. Frank McSherry
2. Cynthia Dwork
3. Xiaokui Xiao
4. Latanya Sweeney
5. Michael Hay
6. Daniel Kifer
7. Kobbi Nissim
8. Benjamin C. M. Fung
9. Johannes Gehrke
10. Pierangela Samarati

Who trusts Rui Chen overall

1. Changchang Liu
2. Zhanglong Ji
3. Ying-Cheng Lu
4. Muneeb Ul Hassan
5. Gergely Ács
6. Kamalika Chaudhuri
7. Supriyo Chakraborty
8. Ahmed El Ouadrhiri
9. Huazheng Wang
10. Tianqing Zhu

Papers from Rui Chen's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. ImageNet classification with deep convolutional neural networks
3. Revealing information while preserving privacy
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. k-Anonymity: A Model for Protecting Privacy
6. L-diversity: privacy beyond k-anonymity
7. Differential Privacy
8. Differentially private recommender systems: building privacy into the net
9. Gradient-based learning applied to document recognition
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Privacy-preserving data publishing: A survey of recent developments (2010) — 1,918 citations
• Differentially private data release for data mining (2011) — 378 citations
• Correlated network data publication via differential privacy (2013) — 235 citations
• Differentially private sequential data publication via variable-length n-grams (2012) — 307 citations