xinghuanlai Associate Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

  

  • Education Level: PhD graduate

  • Professional Title: Associate Professor

  • Alma Mater: 英国诺丁汉大学

  • Supervisor of Doctorate Candidates

  • Supervisor of Master's Candidates

  • School/Department: 计算机与人工智能学院

  • Discipline:Communications and Information Systems
    Computer Science and Technology
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    Recommended Ph.D.Supervisor Recommended MA Supervisor
    Language: 中文

    Paper Publications

    A population based incremental learning for network coding resources minimization

    Impact Factor:1.06

    DOI number:10.1109/LCOMM.2011.051911.110274

    Affiliation of Author(s):Beijing Univ Posts & Telecommun

    Teaching and Research Group:Key Lab Informat Photon & Opt Commun

    Journal:IEEE Communications Letters

    Key Words:multicast,network coding,population based incremental learning

    Abstract:In network coding based multicast, coding operations need to be minimized as they consume computational resources and increase data processing complexity at corresponding nodes in the network. To address the problem, we develop a population based incremental learning algorithm which shows to outperform existing algorithms in terms of both the solution obtained and computational time consumed on networks with various features.

    Co-author:Huanlai Xing*,Rong Qu

    Document Code:10.1109/LCOMM.2011.051911.110274

    Volume:15

    Issue:7

    Page Number:689-700

    ISSN No.:1089-7798

    Translation or Not:no

    Date of Publication:2010-01-01

    Included Journals:SCI

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