Scholar
Feng Xia
Google Scholar ID: HDFA2VYAAAAJ
Professor, School of Computing Technologies, RMIT University
Artificial Intelligence
Graph Learning
Brain
Robotics
Cyber-Physical Systems
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Citations & Impact
All-time
Citations
15,922
H-index
62
i10-index
248
Publications
20
Co-authors
17
list available
Contact
Email
f.xia@ieee.org
Twitter
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Publications
51 items
ST-TGExplainer: Disentangling Stability and Transition Patterns for Temporal GNN Interpretability
2026
Cited
0
TERGAD: Structure-Aware Text-Enhanced Representations for Graph Anomaly Detection
2026
Cited
0
Bridging Sequence and Graph Structure for Epigenetic Age Prediction
2026
Cited
0
Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
2026
Cited
0
Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection
2026
Cited
0
Please refuse to answer me! Mitigating Over-Refusal in Large Language Models via Adaptive Contrastive Decoding
2026
Cited
0
Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation
2026
Cited
0
Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
2026
Cited
0
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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)
Co-authors
17 total
Xiangjie Kong (孔祥杰)
Professor of Computer Science, Zhejiang University of Technology
Shuo Yu
Dalian University of Technology
Ivan Lee
University of South Australia
Huan Liu
Regents Professor, Arizona State University
Sajal K. Das
Curators' Distinguished Professor & Daniel St. Clair Endowed Chair, Computer Science, Missouri S&T
Hanghang Tong
University of Illinois at Urbana-Champaign
Irwin King
The Chinese University of Hong Kong
Charu Aggarwal
Distinguished Research Staff Member, IBM T. J. Watson Research Center
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