Machine learning for graph-structured data and database systems: graph neural network architectures for incomplete, heterogeneous and temporal graphs (fraud detection, malware detection, graph similarity computation), and learning-based methods that accelerate database and data-mining algorithms.
Jianke Yu俞鉴珂, PhD
PhD (2026) in Graph Machine Learning & Databases
Hangzhou, China
Emailyujianke100@gmail.com · Webjianke-yu.online · ScholarEwomMksAAAAJ · ORCID0000-0002-2032-7727 · DBLP316/0485 · GitHubyujianke100 (183 ★)
Research Areas
Keywords: Graph Neural Networks, Graph Databases, AI for Databases, Fraud Detection, Knowledge Graphs
Education
PhD, Information Technology · University of Technology Sydney
2023.07 – 2026.09
Conferred 9 September 2026. Supervised by Prof. Ying Zhang, A/Prof. Lu Qin and Dr Hanchen Wang. Thesis: "Fraud detection on the customer-product bipartite graph" (learning-based algorithms for graph-structured data and database systems).
M.Eng, Electronic Information · Zhejiang Gongshang University
2020.09 – 2023.06
Supervised by Prof. Xiaoyang Wang. Research on graph representation learning, fraud detection and graph similarity computation.
B.Eng, Electronic Information Engineering · Zhejiang Gongshang University
2016.09 – 2020.06
Appointments & Experience
Research Intern · Token Foundry, Alibaba Token Hub, Alibaba Group
2025.12 – Present
Research on graph learning methods for industrial data systems.
Research Assistant · University of Technology Sydney
2023.07 – Present
ARC Discovery Project. Graph neural networks, graph similarity search and learning-based database algorithms.
Guest Lecturer · University of Technology Sydney
2025.07 – 2025.10
Guest lecturer for UTS 43023 Emerging Topics in AI (Spring session 2025: 28 July – 24 October; UTS "Spring session" runs in the second half of the year).
Research Intern · DAMO Academy / Alibaba Cloud, Alibaba Group
2022.07 – 2023.04
Fraud detection on e-commerce platforms (work later published in KDD 2023 and IEEE TKDE).
Research Intern · Taobao, Alibaba Group
2021.11 – 2022.03
Graph-based user modelling and risk analysis.
Selected Publications (first-author CCF-A)
Overall: 19 peer-reviewed papers (10 SCI journal papers, 5 in JCR Q1; 9 conference papers) — 7 CCF-A, 6 CCF-B, 4 CCF-C; 6 as first author; 119 citations.
- [1]MGDN: A Graph of Graphs Neural Network for Malware Detection. IEEE Transactions on Knowledge and Data Engineering, 2026.1st authorCCF-ACAS Zone 1 TopJCR Q1
- [2]SARL: A Scalable Attribute-Informed Representation Learning Framework for Bipartite Graphs. IEEE Transactions on Knowledge and Data Engineering, 2026.1st authorCCF-ACAS Zone 1 TopJCR Q1
- [3]Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. IEEE Transactions on Knowledge and Data Engineering, 2024.1st authorCCF-ACAS Zone 1 TopJCR Q1
- [4]Group-based Fraud Detection Network on e-Commerce Platforms. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023.1st authorCCF-A
Scholarships & Funding
National Award for Outstanding Self-Financed Students Abroad (2025–2026) · China Scholarship Council
2026
National-level award for outstanding self-financed students abroad.
UTS ARC Discovery Project Scholarship (Full Scholarship) · University of Technology Sydney / Australian Research Council
2023
UTS International Research Scholarship · University of Technology Sydney
2023
Honors & Awards
UTS FEIT HDR Excellence Award — Individual Category, Distinction · University of Technology Sydney, Faculty of Engineering and IT
2025
Faculty-level award (Distinction) for research excellence during HDR candidature.
Excellent Practical Achievement Award for Professional Master Students · Education Department of Zhejiang Province
2022
Provincial award for outstanding professional master's practice achievements.
Second Prize, 4th Zhejiang Province University Student Robotics Competition · Zhejiang Province
2019
Second Prize, “Internet+” Innovation and Entrepreneurship Competition · Zhejiang Gongshang University
2019
Academic Activities & Service
Scalable Big Data Computation · Seminar, School of Data Science, The Chinese University of Hong Kong, Shenzhen 18 Apr 2026
Peer Reviewer · IEEE Transactions on Knowledge and Data Engineering (TKDE) 2025
Platform Administrator · Research Computing Platform, Prof. Ying Zhang & Prof. Xiaoyang Wang's Team, Zhejiang Gongshang University 2024–
Maintaining the group's GPU research computing platform (training and inference environments, accounts, resource scheduling).
Teaching
Guest Lecturer · 43023 Emerging Topics in Artificial Intelligence, University of Technology Sydney Spring 2025 (Jul–Oct)
Teaching Assistant · COMP9311 Database Systems, UNSW Sydney Term 3 2023
Teaching Assistant · DATA1001 Introduction to Data Science, UNSW Sydney Term 2 2024, Term 2 2025
Updated 16 Sep 2026
Full list: jianke-yu.online/publications