PeopleofSuperintelligence

Researcher

Feng Xia

Feng Xia is a researcher in graph learning whose work covers social networks, knowledge graphs, and cyber-physical systems. He held academic roles at Dalian University of Technology and Federation University, including department leadership at Dalian and an associate professorship at Federation. His work on multivariate relations in social networks received a 2020 JCDL honorable mention, and he coauthored surveys on knowledge graphs and graph learning. IEEE named him a 2026 Fellow for contributions to graph learning and networked cyber-physical systems. As of October 2026, he is a Professor of AI at RMIT University and chairs IEEE's Task Force on Learning for Graphs.

Timeline

  1. 2016

    Research leadership at Dalian

    At the 2016 IEEE SocialSec conference, he is a full professor at Dalian University of Technology and Head of the Department of Cyber Engineering.

  2. 2020

    A JCDL honorable mention

    In 2020, he coauthors Multivariate Relations Aggregation Learning in Social Networks. The paper proposes the multivariate relationship aggregation learning (MORE) method to capture multivariate relations in networks and receives the Vannevar Bush Best Paper Honorable Mention at JCDL.

  3. 2020–2021

    A model for research teams

    In 2020, he coauthors a model that recommends a replacement for a departing research-team member by comparing skills and working relationships. In 2021, he is an associate professor in Federation University's Engineering, IT and Physical Sciences department.

  4. 2023

    Knowledge graphs and AI

    In 2023, he coauthors Knowledge Graphs: Opportunities and Challenges, a survey of AI systems built on knowledge graphs, their application fields, and technical challenges.

  5. 2023–2025

    Graph learning and IEEE service

    From 2023 to 2024, he serves as vice-chair of IEEE's Task Force on Learning for Graphs. Since 2025, he chairs the task force and coauthors Graph Learning, a survey of scalable, temporal, multimodal, generative, explainable, and responsible graph learning.

  6. 2026

    An IEEE Fellowship

    IEEE elevates him to Fellow effective 1 January 2026 for contributions to graph learning and networked cyber-physical systems.

  7. As of October 2026

    Professor of AI at RMIT

    As of October 2026, he is a Professor of AI at RMIT University in Melbourne and chairs IEEE's Task Force on Learning for Graphs.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

Photo: We have no published photo of Feng Xia yet. Send us a free-licensed photo.

  1. IEEE SocialSec 2016 nsclab.org. Checked 19 October 2026.
  2. Multivariate Relations Aggregation Learning in Social Networks | arXiv arxiv.org. Checked 19 October 2026.
  3. ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES (JCDL 2020) 2020.jcdl.org. Checked 19 October 2026.
  4. How to Find the Ideal Replacement When a Research Team Member Leaves | IEEE Spectrum spectrum.ieee.org. Checked 19 October 2026.
  5. Knowledge Graphs: Opportunities and Challenges | arXiv arxiv.org. Checked 19 October 2026.
  6. Graph Learning | arXiv arxiv.org. Checked 19 October 2026.
  7. Feng Xia, IEEE Fellow - Services xia.ai. Checked 19 October 2026.
  8. IEEE Robotics and Automation Society Announces 2026 Class of Fellows ieee-ras.org. Checked 19 October 2026.
  9. BESC 2026 - Keynotes besc-conf.org. Checked 19 October 2026.