Jie Tang
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 AMiner (formerly known as 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] He was elected AAAI Fellow in 2023.[7]
References
[edit]- ^ a b "NEWLY ELEVATED FELLOW CLASS 2021" (PDF). Institute of Electrical and Electronics Engineers. 2021. Archived from the original (PDF) on December 6, 2020.
- ^ a b "ACM Names 71 Fellows for Computing Advances that are Driving Innovation". Association for Computing Machinery. 2022.
- ^ "唐杰" (in Chinese). China Computer Federation. 2012.
- ^ "Jie TANG". Department of Computer Science and Technology. Tsinghua University. 6 April 2021. Retrieved 23 November 2022.
- ^ Jie Tang; Jing Zhang; Limin Yao; Juanzi Li; Li Zhang; Zhong Su (2008). "ArnetMiner". Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining. New York: ACM. pp. 990–998. doi:10.1145/1401890.1402008. ISBN 9781605581934. S2CID 3348552.
- ^ 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. pp. 807–816. doi:10.1145/1557019.1557108. ISBN 9781605584959. S2CID 4931148.
- ^ "Elected AAAI Fellows". AAAI. Retrieved 2024-01-02.
