Xiaodong Lin

Organization: 
Rutgers Business School
Professional Title: 
Associate Professor

Dr. Xiaodong Lin is an Associate Professor at Rutgers Business School. He served as a NISS postdoc from 2003 to 2004, where he worked on privacy-preserving analyses of distributed databases.

Lin was originally born in China. He moved to the United States in 1997 after earning his B.S. in Computer Science at the University of Science and Technology of China. After moving, he earned his Ph.D. in statistics from Purdue University. His research interests include statistical machine learning and data mining, graphical models for financial network and brain connectivity, and data confidentiality issues on statistical disclosure limitation. He has published in leading journals including IEEE Transaction on Information Theory, Technometrics, Bioinformatics, and Developmental Cell.

NISS Research Projects

Technical Reports

  • Secure, Privacy-Preserving Analysis of Distributed Databases -
  • Secure Statistical Analysis of Distributed Databases -
  • Secure Regression on Distributed Databases -
  • Secure Regression for Vertically Partitioned, Partially Overlapping Data -
  • Secure Analysis of Distributed Chemical Databases without Data Integration -
  • Privacy Preserving Regression Modelling via Distributed Computation -
  • Privacy Preserving Analysis of Vertically Partitioned Data Using Secure Matrix Products -

Publications