2014年1月3日，中国计算机学会协同计算专委委员，美国德克萨斯大学达拉斯分校Weili Wu 教授学术报告应邀在华南师范大学计算机学院做了题为“A Novel Approach to Online Social Influence Maximization”的学术报告。专委副主任华南师范大学汤庸教授、常委广东工业大学计算机学院滕少华教授，委员华南师范大学李建国副教授等参加了学术交流。 

Weili Wu教授简介：

Prof. Weili Wu received her MS and PhD degrees in computer science both from University of Minnesota, in 1998 and 2002 respectively. She is currently a full professor and a lab director of the database research lab at the Department of Computer Science and Engineering, the University of Texas at Dallas. Her research interest is mainly in database systems, especially in spatial database with applications in geographic information systems, distributed data-base in internet system, and wireless database systems with connection to wireless communication.  She has published more than 100 research papers in various prestigious journals and conferences such as IEEE Transaction on Knowledge and Data Engineering (TKDE), IEEE Transaction on Multimedia, ACM Transaction on Sensor Networks (TOSN), Theoretical Computer Science, Journal of Complexity, Discrete Mathematics, Discrete Applied Mathematics, IEEE ICDCS the International Conference on Distributed Computing Systems, IEEE INFOCOM The Conference on Computer Communications, ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, SIAM Conference on Data Mining, UCGIS Summer Assembly, International Conference on Computer Science and Informatics. She is an associate editor of International Journal of Bioinformatics Research and Applications (IJBRA), and International Journal of Knowledge and Information Systems (KAIS).