Bo Tang (唐 博)

PhD. Department of Computing
The Hong Kong Polytechnic University

Office: PQ713a


Bo Tang received the PhD Degree in the Department of Computing at the The Hong Kong Polytechnic University. He was a member of Database Research Group. Before that, he obtained his BEng degree in computer science from Sichuan University.

Research Statement

My research interests are in the area of data management (i.e., similarity search on high dimensional data, data exploration techniques on multi-dimensional dataset). In particular, I focus on improving query time efficiency and query result accuracy.


Representative Awards
  • ACM SIGMOD Student Travel Award, (SIGMOD'2017)

  • Postgraduate Scholarships by PolyU HK, (2013-2017)

  • IBM Fellowship (IBM中国优秀学生), for Excellent Chinese Computer Science Students (2011-2012)

  • Baogang Fellowship (宝钢奖学金), for 8 Most Excellent Students in Sichuan University (2010)

  • National Scholarship (国家奖学金), for top 1% students in Sichuan University (2011-2012)


Professional Activities

  • Reviewer for ACM International Conference on Information and Knowledge Management (CIKM'2017, short paper)

  • Reviewer for IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE'2017)

  • External Reviewer for International Conference on Very Large Data Bases (VLDB'2017, demo track)

  • External Reviewer for International Conference on Data Engineering (ICDE'2016,2015,2014)

  • External Reviewer for SIGSPATIAL'2014,2015, CIKM'2014, SSDBM'2014, SSTD'2015, DASFAA'2015

  • Teaching Courses (TA)
    • COMP6831, Advanced Computer Algorithms, Fall 2015, PhD Level, HKPolyU

    • COMP5151, Advanced Database Systems, Spring 2016, Postgraduate Level, HKPolyU

    • COMP5111, Database Management and System, Fall 2014, Postgraduate Level, HKPolyU

    • COMP328, Programming language, Spring 2014, Undergraduate Level, HKPolyU

    • COMP327, Data Structure and Algorithms II, Fall 2013, Undergraduate Level,HKPolyU

    • Operating System, Fall 2010,2011, Undergraduate Level, Sichuan University

    Research Projects Involved
    • Leveraging Modern CPUs for Efficient Query Processing on Time Series Data (core member, Hong Kong GRF 152043/15E, 2016-2018)

    • Scalable Retrieval Techniques for Massive High-Dimensional Data (core member, Hong Kong GRF 152201/14E, 2015-2017)

    Invited Talks
    • Topic: Exploring Non-Trivial Insights from Multidimensional Dataset
      Venue: Aarhus University, Aarhus; Aalborg University, Aalborg, Denmark
      Date: March 28; March 27, 2017.

    • Topic: Data Exploration: Unlock Non-trivial Insights from Big Data
      Venue: Chinese Univeristy of Hong Kong, Hong Kong
      Date: March 10, 2017.

    • Topic: Flexible Query Generator for Functionality Testing in DBMS
      Venue: Database Architectures Group, Centrum Wiskunde & Informatica, Amsterdam, the Netherlands
      Date: October 25, 2016.

    • Topic: Automatic Deep Insights Exploration in Multi-dimensional Datasets
      Venue: Microsoft Research Aisa, Beijing, China
      Date: September 21, 2016.

    • Topic: Diversified Caching for Replicated Web Search Engines
      Venue: Shenzhen Univeristy, Shenzhen, China
      Date: June 3, 2016.

    • Topic: Similarity Search on High Dimensional Dataset
      Venue: Sichuan University, Chengdu, China
      Date: Decemeber 25, 2014.

    • Topic: Accelerating Time Series Algorithms by Modern Hardware
      Venue: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
      Date: Decemeber 13, 2014.

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