๐ One paper accepted by IEEE TKDE (2026)
Sep 13, 2026
ยท
1 min read
SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs has been accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE) (2026).

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 โ 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.