AEFA: An Ensemble Framework for Fraud Detection in the Forex Market
Oct 18, 2025·
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1 min read
Weiyuan Wang
Jianke Yu
Zhengyi Yang
Mingchen Ju
Shuyue Yu
Jinglin Wu
Lifan Liu
Yongfei Liu
John Shepherd
Wenjie Zhang
CCF-C
Type
Publication
International Conference on Advanced Data Mining and Applications
Status
Peer-reviewed
Awards
CCF-C
International Conference on Advanced Data Mining and Applications · 2025
International Conference on Advanced Data Mining and Applications, 2025

Authors
Jianke Yu
(he/him)
PhD (2026) in Graph Machine Learning & Databases
I completed my PhD at the University of Technology Sydney (UTS) in 2026, supervised by
Prof. Ying Zhang, A/Prof. Lu Qin and Dr Hanchen Wang. My research develops machine learning algorithms
for graph-structured data and database systems — graph neural network architectures,
and learning-based methods that improve database and data-mining algorithms
(fraud detection, graph similarity, supergraph search, malware detection).
My work has appeared in KDD and IEEE TKDE. I am joining Zhejiang Gongshang
University as a faculty member in 2027.