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CASIA OpenIR
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CGNN: A Compatibility-aware Graph Neural Network for Social Media Bot Detection 期刊论文
IEEE Transactions on Computational Social System, 2024, 页码: Early Access
作者:  Huang, Haitao;  Tian, Hu;  Zheng, Xiaolong;  Zhang, Xingwei;  Zeng, Dajun;  Wang, Feiyue
Adobe PDF(2267Kb)  |  收藏  |  浏览/下载：36/14  |  提交时间：2024/07/08
graph neural network  heterogeneous compatibility  social media bot detection  
A GNN-based Few-shot learning model on the Credit Card Fraud detection 会议论文
, Beijing, China, 2021-07-15_2021-08-15
作者:  Rongrong Jing;  Hu Tian;  Gang Zhou;  Xingwei Zhang;  Xiaolong Zheng;  Daniel Dajun Zeng
Adobe PDF(430Kb)  |  收藏  |  浏览/下载：249/80  |  提交时间：2022/06/17
A Graph-Based Semi-Supervised Fraud Detection Framework 会议论文
, Beijing, China, 2021-05-31
作者:  Rongrong Jing;  Xiaolong Zheng;  Hu Tian;  Xingwei Zhang;  Weiyun Chen;  Dash Desheng Wu;  Daniel Dajun Zeng
Adobe PDF(1227Kb)  |  收藏  |  浏览/下载：254/63  |  提交时间：2022/06/17
Improving the Data Quality for Credit Card Fraud Detection 会议论文
, Arlington, VA, USA, 2022-11
作者:  Rongrong Jing;  Hu Tian;  Yidi Li;  Xingwei Zhang;  Xiaolong Zheng;  Zhu Zhang;  Daniel Dajun Zeng
Adobe PDF(472Kb)  |  收藏  |  浏览/下载：401/89  |  提交时间：2022/06/17
Impact of Flavor on Electronic Cigarette Marketing in Social Media 会议论文
, USA, 11.17-11.18
作者:  Yunji Liang;  Xiaolong Zheng;  Daniel Zeng;  Xingshe Zhou
浏览  |  Adobe PDF(31064Kb)  |  收藏  |  浏览/下载：539/230  |  提交时间：2018/01/08
A model-free scheme for meme ranking in social media 期刊论文
DECISION SUPPORT SYSTEMS, 2016, 卷号: 81, 页码: 1-11
作者:  He, Saike;  Zheng, Xiaolong;  Zeng, Daniel
浏览  |  Adobe PDF(629Kb)  |  收藏  |  浏览/下载：352/82  |  提交时间：2016/04/03
Meme Ranking  Model-free Scheme  Transfer Entropy  
Disease Surveillance Based on Spatial Contact Networks: A Case Study of Beijing 2003 SARS Epidemic 期刊论文
IEEE INTELLIGENT SYSTEMS, 2009, 卷号: 24, 期号: 6, 页码: 77-82
作者:  Zeng, Daniel;  Chen, Hsinchun;  Cao, Zhidong;  Wang, Fei-Yue;  Zheng, Xiaolong;  Wang, Quanyi
浏览  |  Adobe PDF(1587Kb)  |  收藏  |  浏览/下载：260/38  |  提交时间：2015/08/12
Sars  Epidemic  Network