Chinese Version
We are a computer science undergraduate research group at Central South University！
About Us
We are an undergraduate research team at the School of Computer Science, Central South University, with key members including Jianheng Tang, Feijiang Han, Kejia Fan, and Wenxuan Xie. We are dedicated to the research of cutting-edge technologies such as swarm intelligence perception, crowdsourcing, deep learning, privacy protection and blockchain.
We have published several important journal papers in these areas, representative of which include:
(2023) Credit and Quality Intelligent Learning based Multi-armed Bandit Scheme for Unknown Worker Selection in Multimedia MCS.
(Information Sciences, JCR Q1 Top, IF=8.1)
(2023) BTV-CMAB: A Bi-directional Trust Verification Based Combinatorial Multi-Armed Bandit Scheme for Mobile Crowdsourcing.
(IEEE Internet of Things Journal, JCR Q1 Top,IF=10.238)
(2023) A Semi-supervised Sensing Rate Learning based CMAB Scheme to Combat COVID-19 by Trustful Data Collection in the Crowd.
(Computer Communications, JCR Q1, IF=6.0)
(2023) MAB-RP: A Multi-Armed Bandit based Scheme for Accurate Data Collection in Crowdsensing.
(Information Sciences, JCR Q1 Top, IF=8.1)
Through the publication of these papers, we have achieved significant research results in related fields and provided valuable contributions to academia and industry. As a team, we will continue to strive to push the frontiers of scientific research and work to solve real-world problems.