RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems
Type
Publication
Pacific-Asia Conference on Knowledge Discovery and Data Mining
Status
Peer-reviewed
Awards
CCF-C
Pacific-Asia Conference on Knowledge Discovery and Data Mining · 2025
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 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, 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.