Li Guoliang
Li Guoliang, male, Han nationality, doctor, born in Zunhua, Tangshan, Hebei Province, is a professor of computer science and Technology Department of Tsinghua University. He received his bachelor's degree from the computer department of Harbin Institute of technology in 2004 and his doctor's degree from the computer department of Tsinghua University in 2009. The main research directions are database, group computing, data mining, analysis and retrieval. He has published more than 50 papers in top conferences and journals in the fields of database, data mining and information retrieval, and cited more than 1800 times. Presided over the National Excellent Youth Fund project, youth 973 project and general project of National Natural Science Foundation of China. He has won the ieeetcdeearlycareeer award.
On October 15, 2020, he won the 16th China Youth Science and technology award.
Character experience
Educational experience
September 2000 - July 2004, Bachelor of computer science, Harbin Institute of technology.
From September 2004 to July 2009, doctor, Department of computer science, Tsinghua University.
work experience
July 2009 - December 2012: Lecturer, Department of computer science, Tsinghua University.
December 2012 - December 2018: Associate Professor, Department of computer science, Tsinghua University.
December 2018 to present: Professor, Department of computer science, Tsinghua University.
Visit experience
April 2006 - October 2006: National University of Singapore (NUS), visit( Prof.BengChinOoi )。
February 2008 - May 2008: University of California, Irvine (UCI), visit( Prof.ChenLi )。
September 2017 - September 2018: MIT, visit( Profs.MichaelStonebraker ,SamuelMadden)。
academic activities
Deputy editor in chief
VLDBJournal
IEEETKDE
IEEEDataEngineeringBulletin
BigDataResearch
FCS
Chairman of procedure Committee
WebDB:2014
WAIM:2014
NDBC:2016
Regional Chairman
CIKM:2016 ,2017
Member of procedure Committee
SIGMOD:2014 ,2015,2016,2017,2018
VLDB:2012 ,2013,2014,2015,2016,2017,2018
ICDE:2012 ,2013,2014,2015,2016,2017,2018
KDD:2012 ,2013,2014,2015,2016
AAAI:2017 ,2018
CIKM:2010 ,2012,2013,2014,2015,2016,2017
ICDM:2014
IJCAI:2013
WWW:2017
Research direction
The main research directions are database, crowdsourcing data management, big data cleaning and integration, spatial text data processing.
Main contributions
We have made innovative achievements in the representation, acquisition, fusion and retrieval of massive multi-source heterogeneous data. We have proposed a unified representation model of heterogeneous data based on graph structure, an entity acquisition method of automatic error correction, a multi-source heterogeneous data fusion algorithm based on fuzzy matching, and a structure aware on the fly retrieval method, A set of massive multi-source heterogeneous data fusion and retrieval method is established.
The era of big data has brought many challenges to data processing methods. In view of the problem that traditional methods attach importance to processing efficiency and relatively ignore data quality, this paper mainly studies group computing, and improves the computing performance in big data environment through man-machine integration.
He has published more than 100 papers in top conferences and journals in the fields of database, data mining and information retrieval, cited more than 8000 times, and was selected into Elsevier's 2014-2020 list of highly cited scholars in China.
research subject
Presided over projects: Youth 973, National Excellent Youth Fund projects, general projects of National Natural Science Foundation of China
Participating projects: nuclear high base, 973, 863
Main papers
Chinese PinYin : Li Guo Liang
Li Guoliang