Jia Wu
Scholar

Jia Wu

Google Scholar ID: kbnFw94AAAAJ
Associate Professor, School of Computing, Macquarie University, Sydney, Australia
Graph MiningData MiningKnowledge GraphGraph Neural Networks
Citations & Impact
All-time
Citations
15,211
 
H-index
59
 
i10-index
214
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • - Best Paper Runner-Up Award (ACM CIKM 2022)
  • - Best Student Paper Award (IEEE ICDM 2021)
  • - Best Paper Award in Data Science Track (SDM 2018)
  • - Best Student Paper Award (IJCNN 2017)
  • - Best Paper Candidate Award (ICDM 2014)
  • - Senior Member of the IEEE
  • - Students' papers accepted in journals and conferences:
  • - Xuexiong Luo: IEEE TNNLS, WSDM 2024
  • - Yongshen Yu: IEEE BigData 2023
  • - Malik Khizar Hayat: ICDM 2023
  • - Xiaoxiao Ma: KDD
Research Experience
  • - Associate Professor, School of Computing, Macquarie University
  • - Research Director, Centre for Applied Artificial Intelligence, Macquarie University
Background
  • - Research Interests: Graph Mining, LLM, Knowledge Graphs, Graph Neural Networks, Recommended Systems, Social Networks, Time Series Analysis, Deep Learning, Graph Search, Multi-objective Optimisation, Anomaly Detection, Brain Graph Analysis
  • - Position: Associate Professor (Professor in North America), School of Computing, Macquarie University
  • - Other Positions: Director of Higher Degree Research (HDR) in the School of Computing, Macquarie University, Research Director for the Centre for Applied Artificial Intelligence, Macquarie University
  • - Editorial Roles: Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and ACM Transactions on Knowledge Discovery from Data (TKDD)
Miscellany
  • - Seeking highly motivated and focused students with backgrounds & interests in Computer Science, Mathematics, Engineering, Business, Management, and Bioinformatics
  • - Offering PhD scholarships on topics including Graph Mining, LLM, Knowledge Graph, Graph Neural Networks, Recommended Systems, Graph search, Deep Learning, Anomaly Detection, Time Series Analysis, Brain Graphs/Networks, Multi-objective optimisation, Business Data Intelligence