Haifeng Liu

Department
Department of Computer Science
Associated Projects
PADRES
Previous Status
Masters Student(2001-09-01 — 2003-03-31)
Ph.D. Student(2003-04-01 — 2009-05-31)
E-mail
hfliu AT cs DOT toronto DOT ed
Personal Home Page
http://www.cs.utoronto.ca/~hfliu
Biography
Ms. Liu is currently a Ph.D. student in the Department of Computer Science, University of Toronto. She received her M.S. degree in Computer Science from the University of Toronto in 2003, and B.S. degree in Computer Science and Technology from the Special Class for the Gifted Young, University of Science and Technology of China. Her interests include information dissemination in large-scale distributed systems, content-based routing, XML document filtering, Web Search and Face Recognition.
First Employment At
Faculty, College of Computer Science, Zhe Jiang University, China
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Publications
  • Optimized Cluster-based Filtering Algorithm for Graph Metadata.
    Haifeng Liu, Milenko Petrovic, Hans-Arno Jacobsen, and Zhaohui Wu.
    Information Sciences, 181(24)5468-5484, December 2011.
    Tags: graph-based pub/sub
  • Predictive Publish/Subscribe Matching.
    Vinod Muthusamy, Haifeng Liu, and Hans-Arno Jacobsen.
    In ACM Distributed Event-based Systems (DEBS), pages 14-25, July 2010.
    Acceptance rate: 25% .
    Tags: algorithms, content-based publish/subscribe, publish/subscribe, pub/sub applications, predictive publish/subscribe, topss, event processing, p-topss, probabilistic data management
  • Management of Uncertainties in Publish/Subscribe Systems.
    Haifeng Liu.
    University of Toronto, 2009.
  • Efficient and Scalable Filtering of Graph-based Metadata.
    Haifeng Liu, Milenko Petrovic, and Hans-Arno Jacobsen.
    J. Web Sem., 3(4)294-310, 2005.
    Tags: graph-based pub/sub
  • G-ToPSS: Fast Filtering of Graph-based Metadata.
    Milenko Petrovic, Haifeng Liu, and Hans-Arno Jacobsen.
    In World Wide Web Conference, pages 539-547, Chiba, Japan, May 2005.
    Nominated for best paper award, i.e., one of four finalist papers. Acceptance rate: 14%. Number of submissions: 550.
    Tags: algorithms, content-based publish/subscribe, event processing, publish/subscribe, topss, graph-based pub/sub
  • CMS-ToPSS: Efficient Dissemination of RSS Documents.
    Milenko Petrovic, Haifeng Liu, and Hans-Arno Jacobsen.
    In International Conference on Very Large Databases (VLDB), pages 1279-1282, Trondheim, Norway, August 2005.
    Tags: content-based publish/subscribe, publish/subscribe, topss, graph-based pub/sub
  • G-ToPSS: Fast Filtering of Graph-based Metadata.
    Milenko Petrovic, Haifeng Liu, and Hans-Arno Jacobsen.
    Special issue on WWW’05 in Semantic Web Journal, 3(4)294-310, December 2005.
    Elsevier Science Publisher.
  • Modelling Uncertainties in Publish/Subscribe.
    Haifeng Liu and Hans-Arno Jacobsen.
    In International Conference on Data Engineering (ICDE), pages 510-522, Boston, MA, June 2004.
    Acceptance rate: 14 %. Number of submissions: 441.
    Tags: content-based publish/subscribe, event processing, probabilistic data management, pub/sub applications, publish/subscribe, topss
  • A-ToPSS – A Publish/Subscribe System Supporting Imperfect Information Processing.
    Haifeng Liu and Hans-Arno Jacobsen.
    In 0th International Conference on Very Large Databases (VLDB), pages 1281-1284, Toronto, Canada, August 2004.
    Tags: content-based publish/subscribe, pub/sub applications, publish/subscribe, probabilistic data management, topss
  • A Model for Publish/Subscribe System Supporting Uncertainties.
    Haifeng Liu.
    University of Toronto, 2003.
  • Approximate Matching in Publish/Subscribe.
    Haifeng Liu and Hans-Arno Jacobsen.
    In IEEE CIRA, pages 1-6, July 2003.
  • + more