李骏东

李骏东, 美国弗吉尼亚大学 (University of Virginia)电子与计算机工程系, 计算机科学系以及数据科学学院助理教授。在KDD, WWW, WSDM, ICDM, IJCAI, AAAI, EMNLP, TKDE, TKDD等会议期刊上发表超过70篇论文。
李骏东的研究兴趣广泛于数据挖掘和机器学习，尤其着重于特征学习，图挖掘和社交计算。
Jundong Li is an Assistant Professor in the Department of Electrical and Computer Engineering, with a joint appointment in the Department of Computer Science, and School of Data Science. He received his Ph.D. degree in Computer Science at Arizona State University in 2019, M.Sc. degree in Computer Science at University of Alberta in 2014, and B.Eng. degree in Software Engineering at Zhejiang University in 2012. His research interests are in data mining, machine learning, and social computing. As a result of his research work, he has published more than 50 papers in high-impact venues (including KDD, WWW, IJCAI, AAAI, WSDM, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TKDD, TIST, etc), with over 1,000 citation count. He also leads the development of an open-source feature selection repository (scikit-feature) which has been reported by several news articles and blogs. He regularly serves on program committees for major international conferences and reviews for multiple journals.

Ph.D. Arizona State University, 2019
M.Sc. University of Alberta, 2014
B.Eng. Zhejiang University, 2012

http://people.virginia.edu/~jl6qk/
https://engineering.virginia.edu/faculty/jundong-li