Li Xiong

Artificial Intelligence · IEEE Transactions on Knowledge and Data Engineering · 2004–2018

A researcher in the Science corpus: 12 papers; trusts 119 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 175 citations into it; #5,861 of 35,345 by trust here, #9,557 by citations
• Privacy & Security — 100 citations into it; #240 of 709 by trust here, #486 by citations
• Sociology and Political Science — 55 citations into it; #4,807 of 22,756 by trust here, #8,985 by citations
• Computer Networks and Communications — 39 citations into it; #2,443 of 9,886 by trust here, #4,405 by citations
• Management Science and Operations Research — 28 citations into it
• Computational Theory and Mathematics — 26 citations into it; #2,545 of 12,182 by trust here, #4,365 by citations
• Information Systems — 26 citations into it
• Statistics and Probability — 23 citations into it

Whom Li Xiong trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Oded Goldreich
4. Ivan Bjerre Damgård
5. Vibhor Rastogi
6. Karl Aberer
7. Jaideep Vaidya
8. Pascal Paillier
9. Johannes Blömer
10. Chris Clifton

Who trusts Li Xiong overall

1. Ing-Ray Chen
2. Michele Nitti
3. Badih Ghazi
4. Borja Balle
5. Sabrina Sicari
6. Rasmus Pagh
7. Jiawen Kang
8. H. Brendan McMahan
9. Jia Guo
10. Roberto Girau

Papers from Li Xiong's perspective

Ordered by how strongly the researchers Li Xiong 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. Differential Privacy
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Practical privacy: the SuLQ framework
9. ImageNet: A large-scale hierarchical image database
10. A learning theory approach to non-interactive database privacy

Their papers

• A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy (2015) — 161 citations
• Differentially private distributed logistic regression using private and public data (2014) — 58 citations
• PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities (2004) — 1,946 citations
• Secure multiparty aggregation with differential privacy: a comparative study (2013) — 86 citations
• Protecting Locations with Differential Privacy under Temporal Correlations (2014) — 404 citations
• TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks (2005) — 360 citations
• Differentially Private Distributed Online Learning (2018) — 20 citations
• Differentially Private Frequent Sequence Mining (2016) — 30 citations
• Differentially Private Distributed Online Learning (2015) — 83 citations
• Monitoring web browsing behavior with differential privacy (2014) — 65 citations
• Semantic Security: Privacy Definitions Revisited (2013) — 8 citations
• Real-time aggregate monitoring with differential privacy (2012) — 95 citations