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  • Professor Jianxin (Kevin) Li

    Professor Jianxin (Kevin) Li

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Professor Jianxin (Kevin) Li

Jianxin is the Professor of Information Systems at the School of Business and Law.

Research Areas and Interests

  • Business Analytics and Intelligence
  • Applied Data Science & AI in Transportation
  • Multimodal Data Management and Retrieval
  • Social Network Data Exploration, Social Influence Analytics
  • Knowledge Graph Representation Learning, Entity & Relation Enrichment
  • Heterogeneous Information Network Data for Decision Making

Biography

Jianxin Li is one of the worldwide recognised scholars in the fields of information systems and data science. He was awarded as World Top 2% scientists by 2023 Stanford due to his research impact and high citation. He has published about 200 peer-reviewed and high-quality research articles in top international conferences and journals, including SIGMOD, PVLDB, ICDE, ACM WWW, SIGKDD, ACM CIKM, IEEE TKDE, KBS, TII, IS, etc. There are 12 research articles that were awarded as the Highly Cited Papers or Hot Papers in 2020-2024. His supervised PhD students had won the Best Student Paper Awards, the Best Paper Awards, the Shortlisted Best Thesis Awards. Based on his research contribution and solid track record, he has obtained more than 10 external grants with about 1.7 million funding, including two Australian Research Council Discovery Projects, three Australian Research Council Linkage Projects.

Jianxin has more than 16 years’ teaching experience in a range of subjects for undergraduates and postgraduates in the courses of data science, artificial intelligence as well as business intelligence across several Australian universities. Currently, he serves as the Editor-in-Chief in Array, Associate Editors in Information Systems, Knowledge-based Systems, and IEEE Signal Processing Letters, World Wide Web Journal. As Program Committee Chairs or Steering Committee Members, he chaired the international conferences of ADMA’2019, APWeb-WAIM’2023, and more than 10 workshops since 2014.

Media Topics
  • Business Intelligence
  • Applied Data Science & AI
  • Technology Innovation
  • Personalised Education

SBL Research Centres or Cluster/s

Business Intelligence Research Cluster

Awards & Recognition
  • 2015 – The Best Poster Award, Australasian Database Conference
  • 2017 – The Best Demo Paper Award, The Web Conference (previous name as World Wide Web Conference)
  • 2018 – The Third Prize of Innovation & Contest, Alpha Innovation Contest
  • 2018 – The Best Paper Award  Runner Up, APWeb-WAIM Joint Conference on Web and Big Data
  • 2018 – The Best Student Paper Award, Australasian Database Conference
  • 2021 – The Best Student Paper Award Runner Up, The International Conference on Web Information Systems Engineering
  • 2022 – The Best Student Paper Award, The International Conference on Advanced Data Mining and Applications
  • 2023 – The World Top 2% scientists, Stanford's list
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