Yong Li

Artificial Intelligence · with Jiang · 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

Whom Yong Li trusts overall

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

  1. James A. Hanley
  2. Hwanjo Yu
  3. Jaideep Vaidya
  4. Alan F. Karr

Who trusts Yong Li overall

  1. Yejin Kim

Papers from Yong Li's perspective

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

  1. Secure Regression on Distributed Databases
  2. Privacy-Preserving SVM Classification on Vertically Partitioned Data
  3. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  4. Privacy preserving mining of association rules
  5. Privacy Preserving Data Mining
  6. Privacy-preserving k-means clustering over vertically partitioned data
  7. Privacy-preserving distributed mining of association rules on horizontally partitioned data
  8. Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data
  9. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
  10. Privacy preserving association rule mining in vertically partitioned data

Their papers