Scholar
Wei Hu
Google Scholar ID: iWs168sAAAAJ
Nanjing University
Citations & Impact
Citations
4,963
H-index
29
i10-index
62
Publications
20
Co-authors
7
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Received multiple research funding projects, such as Continual Learning based Knowledge Graph Fact Checking, Representation Learning based RDF Data Linkage, etc.; also won several awards including CHIP Best Paper Award (2021), CCKS Best English Paper Award (2018), Awardee of Nanjing University Study and Research Abroad Program (2013), etc.
Research Experience
- Joined the faculty of Nanjing University in December 2009; was a visiting student at Vrije Universiteit Amsterdam from November 2007 to May 2008, advised by Prof. Frank van Harmelen; interned at IBM Research - China from September 2008 to December 2008; was a visiting scholar at Stanford University from September 2014 to September 2015, working with Prof. Michel Dumontier; was a visiting scholar at the University of Texas at Arlington from November 2016 to May 2017, working with Prof. Chengkai Li; and was a visiting professor at the University of Toronto from June 2017 to November 2017, working with Prof. Sheila McIlraith.
Education
- He obtained his Ph.D. in Computer Software and Theory from Southeast University in 2009 and his B.S. in Computer Science and Technology from the same university in 2005.
Background
- His research interests include artificial intelligence, databases, and interdisciplinary research in medicine. Specifically, he focuses on knowledge graphs (including representation learning and foundation models), databases (including entity alignment, crowdsourcing, and blockchain), and digital medicine.
Miscellany
- Serves as a member of CCF Technical Committee on Databases, CIPSC Technical Committee on Language and Knowledge Computation, among other professional roles; is also an Associate Editor of Transactions on Graph Data and Knowledge, Editorial Board Member of Big Data Research, and Data Intelligence.
