Feng Xia
Scholar

Feng Xia

Google Scholar ID: HDFA2VYAAAAJ
Professor, School of Computing Technologies, RMIT University
Artificial IntelligenceGraph LearningBrainRoboticsCyber-Physical Systems
Citations & Impact
All-time
Citations
15,922
 
H-index
62
 
i10-index
248
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Authored/co-authored over 300 scientific papers in top journals and conferences including IEEE TAI, TNNLS, TKDE, TMC, TVT, TII, ACM TKDD, TOIS, TIST, IJCAI, AAAI, NeurIPS, ICLR, KDD, WWW, ACL, EMNLP, INFOCOM
  • Clarivate Highly Cited Researcher (2019)
  • ScholarGPS Highly Ranked Scholar (2024)
  • Springer Nature Editor of Distinction Award (2025)
  • IEEE TNNLS Outstanding Associate Editor (2023–2024)
  • IEEE Vehicular Technology Society Best Land Transportation Paper Award (2020)
  • ACM/IEEE JCDL Vannevar Bush Best Paper Honorable Mention (2020)
  • WWW Best Demo Award (2017)
  • Delivered numerous keynote and invited talks at international conferences and universities worldwide
Background
  • Professor of Data Science & AI at RMIT University, Melbourne, Australia
  • Research interests include artificial intelligence, graph learning, brain science, robotics, and cyber-physical systems
  • Senior Member of IEEE and ACM
  • Chair of IEEE Task Force on Learning for Graphs
  • Associate/Guest Editor for over 20 journals (e.g., TIST, TKDD, TNNLS)
  • Served as (Senior) PC Member or various chair roles in over 100 international conferences (e.g., IJCAI, AAAI, NeurIPS, ICLR, KDD, WWW)