Author: Zhuo Shengda

Publisher: School of Cyberspace Security 

Date: April 22, 2024

A recent academic paper titled Online Feature Selection with Varying Feature Spaces by Professor Huang Shuqiang's research group from the School of Cyberspace Security at Jinan University has been published online in the prestigious journal IEEE Transactions on Knowledge and Data Engineering (TKDE) focusing on data mining. The paper, with Zhuo Shengda, a doctoral student from the School of Cyberspace Security, as the first author and Professor Huang Shuqiang as the corresponding author, presents innovative research in the field of online feature selection.

(Screenshot of the paper)

TKDE is recognized as a top-tier journal in computer data mining within the IEEE domain, holding a strong academic standing in data mining and knowledge discovery. It is also endorsed as an A-class journal by the Chinese Computer Society, further emphasizing its significance in the academic community.

This research endeavor has been made possible through the support of various funding sources, including the National Natural Science Foundation of China, the Guangdong Provincial Natural Science Foundation, the Guangdong Provincial Key Laboratory of Data Security and Privacy Protection, the Guangdong Hong Kong Joint Laboratory of Data Security and Privacy Protection, and the Jinan University doctoral program for cultivating outstanding innovative talents.

For further details, the paper can be accessed at: 

[IEEE Xplore - Paper Link] (https://ieeexplore.ieee.org/abstract/document/10473703)