115 citations · 265 across the 37 of their papers we have counts for
6 papers · 1 filter
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…
Feature Learning based Deep Supervised Hashing with Pairwise Labels
Wu-Jun Li, Sheng Wang, Wang-Cheng Kang
Recent years have witnessed wide application of hashing for large-scale image retrieval. However, most existing hashing methods are based on hand-crafted features which might not b…
A Parallel algorithm for -Armed bandits
Cheng Chen, Shuang Liu, Zhihua Zhang +1
The target of -armed bandit problem is to find the global maximum of an unknown stochastic function , given a finite budget of evaluations. Recently, $\mathcal{…
Fast Asynchronous Parallel Stochastic Gradient Decent
Shen-Yi Zhao, Wu-Jun Li
Stochastic gradient descent~(SGD) and its variants have become more and more popular in machine learning due to their efficiency and effectiveness. To handle large-scale problems,…
On the Global Convergence of Majorization Minimization Algorithms for Nonconvex Optimization Problems
Yangyang Kang, Zhihua Zhang, Wu-Jun Li
In this paper, we study the global convergence of majorization minimization (MM) algorithms for solving nonconvex regularized optimization problems. MM algorithms have received gre…