Zhenghua Xu

Professor at Hebei University of Technology
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Contact Information
us****@****om
(386) 825-5501
Location
Hongqiao District, Tianjin, China, CN

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Experience

    • China
    • Higher Education
    • 1 - 100 Employee
    • Professor
      • Jun 2018 - Present

      I am currently a full professor at State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China, where I am leading a lab aiming at proposing and developing deep learning and reinforcement learning algorithms and methods to resolve the critical problems in medical and healthcare areas. For more and most recent infomation, please refer to my homepage: http://www.zhenghuaxu.info I am currently a full professor at State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China, where I am leading a lab aiming at proposing and developing deep learning and reinforcement learning algorithms and methods to resolve the critical problems in medical and healthcare areas. For more and most recent infomation, please refer to my homepage: http://www.zhenghuaxu.info

    • United Kingdom
    • Research Services
    • 1 - 100 Employee
      • Jul 2018 - Present

      I am also working as a visiting researcher & external D.Phil supervisor in Intelligent Systems Lab @ Department of Computer Science, University of Oxford, where my researches mainly focus on reinforcement learning and cognitive modeling.

      • Dec 2017 - Jul 2018

      Focus on the research of Deep Learning, Recommender Systems and Databases

    • United Kingdom
    • Research Services
    • 1 - 100 Employee
    • Research Assistant
      • Nov 2014 - Oct 2015

      Conduct research work on the project “Probabilistic Ontological Query Answering on the Web”, including developing probabilistic data models, developing effective algorithms for ranking and query answering, identifying useful scalable fragments, and practically evaluating results. Conduct research work on the project “Probabilistic Ontological Query Answering on the Web”, including developing probabilistic data models, developing effective algorithms for ranking and query answering, identifying useful scalable fragments, and practically evaluating results.

    • Australia
    • Higher Education
    • 700 & Above Employee
    • Analyst Researcher
      • Mar 2012 - Sep 2013

      Responsible for the research, design and development of a new generation Host-based Intrusion Detection System (HIDS) using machine learning techniques. The resulted system can detect unknown network attacks with low false alarm rate and high runtime efficiency. Responsible for the research, design and development of a new generation Host-based Intrusion Detection System (HIDS) using machine learning techniques. The resulted system can detect unknown network attacks with low false alarm rate and high runtime efficiency.

    • Australia
    • Higher Education
    • 700 & Above Employee
    • Lab Tutor
      • Feb 2011 - Feb 2012

      Lab Demonstrator of COMP90041 Programming and Software Development Lab Demonstrator of COMP90041 Programming and Software Development

Education

  • University of Oxford
    Doctor of Philosophy (PhD/D.Phil), Computer Science
    2013 - 2017
  • University of Melbourne
    Master of Philosophy - MPhil, Computer Science
    2011 - 2012
  • Beijing University of Post and Telecommunications
    Bachelor of Engineering (B.Eng.), Information Engineering
    2005 - 2009

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