Contact

Address:

Computer Sciences Building Stony Brook University, Stony Brook, NY, 11794

EMail:

xhou at cs dot sunysb dot edu

PublicationS

Selected Research Projects

Now I am working on erasure coding mechanisms in wireless sensor networks. The projects are coming soon.

Before I went to Stony Brook University...

  • Self-learning Chinese word segmentation algorithms based on DHT

    It is the first algorithm considering about Chinese word segmentation in pure distributed P2P file sharing systems. Traditional methods in Information Retrieval field can not address the special problems in P2P file sharing systems. By using the self learning method, I subtly convert word segmentation problem to word composition problem. My solution does not need dictionaries and can only find the words concerned by users. Moreover, my algorithm can automatically study the new appeared words.
  • Asynchronous publishing and search algorithms based on DHT

    After observing the deficiency of current algorithms used in eMule, the most popular P2P file sharing system in the world, I suggested a new publishing and search strategy which has lower workload for P2P systems and analysis the index maintaining methods for such system. Moreover my algorithm firstly combines with VSM and users' feedback to rank search results in pure peer-to-peer system. [Networking'09] and [HKIE Trans'09] come from this project.
  • A practical illegal content filtering method for centralized P2P file sharing systems

    It is the first practical illegal file filtering method used in P2P file sharing systems. The idea was derived from anti-virus software: maintaining an illegal file database. I implied this algorithm and add it into Maze, the most popular P2P file sharing system in Chinese colleges. After two months' tracking, the amount of downloading illegal files dramatically decreased. [Computer Engineering 2008] is about this projects.
  • Measurement study of the social network in Maze P2P file-sharing system

    After analyzing the maze log, we proved the small-world characteristics in Maze system and show that the friend network of Maze system is a kind of social network. Then we suggested a search algorithm combining with Eigen-Trust algorithm to improve the search performance in maze system. [Infoscale'06] is concerning with this project.