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Wei Hu
Wei Hu

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[中文|胡伟]
[中文版本|胡伟]
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I am an associate professor and PhD supervisor at Department of Computer Science and Technology, Nanjing University, China.
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I am an associate professor and Ph.D. supervisor at the Department of Computer Science and Technology, Nanjing University, China.
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I obtained my PhD in Computer Software and Theory in 2009 and BS in Computer Science and Technology in 2005, both from Southeast University.
I obtained my Ph.D. in Computer Software and Theory in 2009 and my B.S. in Computer Science and Technology in 2005, both from Southeast University.
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From Nov. 2007 to May 2008, I appointed as visiting student at Vrije Universiteit Amsterdam, advised by Prof. [Frank van Harmelen|http://www.few.vu.nl/frankh/].
From Nov. 2007 to May 2008, I was appointed as visiting student at Vrije Universiteit Amsterdam, advised by Prof. [Frank van Harmelen|http://www.few.vu.nl/frankh/].
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From Sep. 2014 to Sep. 2015, I appointed as visiting scholar at Stanford University, working with Prof. [Michel Dumontier|http://dumontierlab.com/],
From Sep. 2014 to Sep. 2015, I was appointed as visiting scholar at Stanford University, working with Prof. [Michel Dumontier|http://dumontierlab.com/],
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From Nov. 2016 to May 2017, I appointed as visiting scholar at University of Texas at Arlington, working with Prof. [Chengkai Li|http://ranger.uta.edu/cli/],
From Nov. 2016 to May 2017, I was appointed as visiting scholar at the University of Texas at Arlington, working with Prof. [Chengkai Li|http://ranger.uta.edu/cli/],
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From Jun. 2017 to Nov. 2017, I appointed as visiting professor at University of Toronto, working with Prof. [Sheila McIlraith|http://www.cs.toronto.edu/sheila/].
From Jun. 2017 to Nov. 2017, I was appointed as visiting professor at the University of Toronto, working with Prof. [Sheila McIlraith|http://www.cs.toronto.edu/sheila/].
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At present, my research is mainly about automatic extraction, semantic fusion and intelligent application of multi-source heterogeneous knowledge with big data:
*Deep knowledge representation: representation learning
*Heterogeneous knowledge fusion: ontology matching, entity alignment, truth inference
*Intelligent software R&D: knowledge-enhanced search/QA/recommender systems
*Cross-research in medicine: with National Institute of Health Data Science at Nanjing University
At present, my research mainly focuses on artificial intelligence, databases, and cross-research in medicine. Specifically,
*Knowledge graph, including representation learning and big models;
*Data integration, including entity alignment and blockchain;
*Digital medicine: with the National Institute of Health Data Science at Nanjing University
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*Continual Learning based Knowledge Graph Fact Checking, NSFC 62272219
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*CHIP Best Paper Award 2021
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*Communication Member of CCF Technical Committee on Artificial Intelligence
This page (revision-14) was last changed on 31-May-2024 19:09 by 胡伟Top