Kun Liu

Artificial Intelligence · SIGMOD Conference · 2006–2009

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #11,122 of 35,345 by trust here, #17,776 by citations
• Privacy & Security — 11 citations into it
• Management Science and Operations Research — 7 citations into it
• Information Systems — 6 citations into it; #6,138 of 8,771 by trust here, #7,705 by citations
• Computer Networks and Communications — 5 citations into it
• Statistics and Probability — 5 citations into it; #3,757 of 12,932 by trust here, #4,650 by citations

Whom Kun Liu trusts overall

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

1. Duncan J. Watts
2. Jaideep Vaidya
3. Chris Clifton
4. Wenliang Du
5. Stanley R. M. Oliveira
6. Vassilios S. Verykios
7. Murat Kantarcioglu
8. Dakshi Agrawal
9. Yücel Saygin
10. Josh Benaloh

Who trusts Kun Liu overall

1. Thomas Brochmann Pedersen
2. Michael Hay
3. Shuheng Zhou
4. S. Ji
5. Bin Zhou
6. Lei Zou
7. Yongjin Wang
8. Kamalika Chaudhuri
9. Elisa Bertino
10. Ping Li

Papers from Kun Liu's perspective

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

1. On the design and quantification of privacy preserving data mining algorithms
2. Maintaining Data Privacy in Association Rule Mining
3. Privacy preserving mining of association rules
4. Privacy Preserving Data Mining
5. ImageNet classification with deep convolutional neural networks
6. Limiting privacy breaches in privacy preserving data mining
7. Collective dynamics of ‘small-world’ networks
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Secure multi-party computation problems and their applications: a review and open problems
10. k-Anonymity: A Model for Protecting Privacy

Their papers

• Random projection-based multiplicative data perturbation for privacy preserving distributed data mining (2006) — 631 citations
• Towards identity anonymization on graphs (2008) — 867 citations
• A Framework for Computing the Privacy Scores of Users in Online Social Networks (2009) — 295 citations
• Finding a team of experts in social networks (2009) — 740 citations