Zhenghua Xu
Professor at Hebei University of Technology- Claim this Profile
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Bio
Experience
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Hebei University of Technology
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China
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Higher Education
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1 - 100 Employee
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Professor
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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
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Department of Computer Science, University of Oxford
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United Kingdom
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Research Services
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1 - 100 Employee
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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.
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Dec 2017 - Jul 2018
Focus on the research of Deep Learning, Recommender Systems and Databases
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Department of Computer Science, University of Oxford
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United Kingdom
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Research Services
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1 - 100 Employee
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Research Assistant
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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.
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RMIT University
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Australia
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Higher Education
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700 & Above Employee
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Analyst Researcher
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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.
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University of Melbourne
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Australia
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Higher Education
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700 & Above Employee
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Lab Tutor
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Feb 2011 - Feb 2012
Lab Demonstrator of COMP90041 Programming and Software Development Lab Demonstrator of COMP90041 Programming and Software Development
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Education
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University of Oxford
Doctor of Philosophy (PhD/D.Phil), Computer Science -
University of Melbourne
Master of Philosophy - MPhil, Computer Science -
Beijing University of Post and Telecommunications
Bachelor of Engineering (B.Eng.), Information Engineering