434 citations · 840 across the 16 of their papers we have counts for
4 papers · 1 filter
Wishart Mechanism for Differentially Private Principal Components Analysis
Wuxuan Jiang, Cong Xie, Zhihua Zhang
We propose a new input perturbation mechanism for publishing a covariance matrix to achieve -differential privacy. Our mechanism uses a Wishart distribution to generate matr…
A New Relaxation Approach to Normalized Hypergraph Cut
Cong Xie, Wu-Jun Li, Zhihua Zhang
Normalized graph cut (NGC) has become a popular research topic due to its wide applications in a large variety of areas like machine learning and very large scale integration (VLSI…
S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut
Cong Xie, Wu-Jun Li, Zhihua Zhang
One standard solution for analyzing large natural graphs is to adopt distributed computation on clusters. In distributed computation, graph partitioning (GP) methods assign the ver…
A Scalable and Extensible Framework for Superposition-Structured Models
Shenjian Zhao, Cong Xie, Zhihua Zhang
In many learning tasks, structural models usually lead to better interpretability and higher generalization performance. In recent years, however, the simple structural models such…