Zheng Zhu Profile Page

Profile

Name: Zheng Zhu
About: Zheng Zhu is a PhD research student at the school of Computer Science and information System, Birkbeck College University of London. His research topic is about information retrieval on the web. Currently he is working on classification based search engine. He is also interested in Machine Learning, Optimization Theory, Statistical Inference and Computer Network.
Contact Email: This e-mail address is being protected from spam bots, you need JavaScript enabled to view it
Phone Number: 020 7763 2115

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LKL Events

List of events at the London Knowledge Lab with Zheng Zhu:
 
DateTitle
Thursday, 08 May 2008LKL Doctoral Student Networking Event

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LKL Research

Zheng Zhu is participating in the following LKL research projects:
(bold = current)
Title
Classification-based Search

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Profiles

  • Alumni of Excellence
    Dr Sergio Gutiérrez-Santos has received an Alumni of Excellence Award from his alma mater University Carlos III of Madrid. This recognition is awarded to the recent alumnus (graduated in the ...
  • The Unteachable
    LKL's Co-Director Professor Richard Noss delivered his public lecture Learning the Unlearnable: Teaching the Unteachable at the Melbourne Graduate School of Education on 21st February to an audience of 450 ...
  • Live online debate between Diana Laurillard and Stephen Downes
    LKL's Diana Laurillard and Canadian researcher Stephen Downes presented contrasting responses to the question: To what extent should learning design be supported computationally? Organised by the Association for Learning Technology, ...
  • Miegunyah Fellowship for Prof Richard Noss
    Richard Noss, co-director of the London Knowledge Lab, has been awarded a 2012 Miegunyah Fellowship by the University of Melbourne. Richard will disseminate the findings of the Technology ...
  • Presentation Award for Tim Neumann
    LKL's Tim Neumann won a best short presentation award at the Association for Learning Technology Conference 2011 at the University of Leeds for his Pecha-Kucha-style presentation Matchmaking Learning Technologists and ...