๐ŸŽ‰ One paper accepted by IEEE TKDE (2026)

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

Jianke Yu
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.