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
2000.9-2004.7, Bachelor of computer science, Harbin Institute of technology.
From September 2004 to July 2009, doctor, Department of computer science, Tsinghua University.
Social part time job:
IEEETransactionsonKnolwedgeandDataEngineering(TKDE)AssociateEditor.
SIGMOD、VLDB、ICDE、KDDPCMember.
Research direction
It mainly studies the acquisition, fusion, analysis and processing of big data.
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.
More than 100 papers have been published in acmsigmod, VLDB, ieeeicde, acmsigir, acmsigkdd, WWW and international journals acmtods, VLDB journal, ieeetkde, acmcomputing survey, with more than 1800 citations.
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