IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs
Nov 6, 2023·,
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1 min read
Kejia Xu
Zeming Fei
Jianke Yu
Yu Kong
Xiaoyang Wang
Wenjie Zhang
Australasian Database Conference, 2023

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.