Biography:Jie Tang
From HandWiki
Jie Tang | |
---|---|
Alma mater | Tsinghua University |
Awards | IEEE Fellow (2021)[1] ACM Fellow (2021)[2] |
Scientific career | |
Fields | social networks data mining machine learning knowledge graphs |
Institutions | Tsinghua University |
Website | keg |
Jie Tang (born 1977)[3] is a full-time professor at the Department of Computer Science of Tsinghua University. He received a PhD in computer science from the same university in 2006.[4] He is known for building the academic social network search system ArnetMiner,[5] which was launched in March 2006 and now has attracted 2,766,356 independent IP accesses from 220 countries. His research interests include social networks and data mining.[6]
He was elevated to IEEE Fellow in 2021 "for contributions to knowledge discovery from data and social network mining".[1] He was elevated to ACM Fellow in 2022 "for contributions to information and social network mining".[2]
References
- ↑ 1.0 1.1 "NEWLY ELEVATED FELLOW CLASS 2021". Institute of Electrical and Electronics Engineers. 2021. https://www.ieee.org/content/dam/ieee-org/ieee/web/org/about/fellows/2021-ieee-fellows-Class.pdf.
- ↑ 2.0 2.1 "ACM Names 71 Fellows for Computing Advances that are Driving Innovation". Association for Computing Machinery. 2022. https://www.acm.org/media-center/2022/january/fellows-2021.
- ↑ "唐杰" (in zh). China Computer Federation. 2012. https://www.ccf.org.cn/Awards/Awards_Recipients/2012/CCF_IEEE_CS__Scientist/2012-02-16/578103.shtml.
- ↑ "Jie TANG". Tsinghua University. 6 April 2021. https://www.cs.tsinghua.edu.cn/csen/info/1181/4032.htm.
- ↑ Jie Tang; Jing Zhang; Limin Yao; Juanzi Li; Li Zhang; Zhong Su (2008). "ArnetMiner: extraction and mining of academic social networks". Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (New York: ACM): 990–998. doi:10.1145/1401890.1402008. ISBN 9781605581934. http://portal.acm.org/citation.cfm?id=1401890.1402008.
- ↑ Jie Tang; Jimeng Sun; Chi Wang; Zi Yang (2009). "Social Influence Analysis in Large-scale Networks". Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD '09 (New York: ACM): 807–816. doi:10.1145/1557019.1557108. ISBN 9781605584959. http://dl.acm.org/citation.cfm?id=1557108.
External links