Generative Neural Network based Spectrum Sharing using Linear Sum Assignment Problems

no code implementations • 12 Oct 2019 • Ahmed B. Zaky, Joshua Zhexue Huang, KaishunWu, Basem M. ElHalawany

In this work, we propose a resource allocation deep autoencoder network, as one of the promising generative models, for enabling spectrum sharing in underlay device-to-device (D2D) communication by solving linear sum assignment problems (LSAPs).

Combinatorial Optimization Management

A Random Sample Partition Data Model for Big Data Analysis

no code implementations • 12 Dec 2017 • Salman Salloum, Yulin He, Joshua Zhexue Huang, Xiaoliang Zhang, Tamer Z. Emara, Chenghao Wei, Heping He

In this paper, we propose the random sample partition (RSP) data model to represent a big data set as a set of non-overlapping data subsets, called RSP data blocks, where each RSP data block has a probability distribution similar to the whole big data set.

A Fast Greedy Algorithm for Outlier Mining

1 code implementation • Advances in Knowledge Discovery and Data Mining 2006 • Zengyou He, Shengchun Deng, Xiaofei Xu, Joshua Zhexue Huang

The task of outlier detection is to find small groups of data objects that are exceptional when compared with rest large amount of data.

Outlier Detection