TGINA/
Editorial Board

Editorial Board

  • Editor-in-Chief

    • Prof.  Jia Wu

      School of Computing, Macquarie University, Sydney, Australia.

      Research Interests: graph mining; data mining; knowledge graph; graph neural networks.

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  • Editorial Advisory Board

    • Prof.  Philip S. Yu

      Department of Computer Science, University of Illinons Chicago, Chicago, USA.

      Research Interests: big data; data mining (especially on graph/network mining); social network; privacy preserving data publishing; data stream; database systems; and Internet applications and technologies.

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    • Prof.  Xingquan (Hill) Zhu

      Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, USA.

      Research Interests: data mining and machine learning; information retrieval; bioinformatics; graph network applications.

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    • Prof.  Chengqi Zhang

      Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Kowloon Hong Kong.

      Research Interests: distributed artificial intelligence; data mining; graph neural networks; time series analysis.

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  • Associate Editors

    • Prof.  Henry Nguyen

      School of Information and Communication Technology, Griffith University, Queensland, Australia.

      Research Interests: AI and big data with special emphasis on IoT; remote sensing; recommendation systems; graph network applications.

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    • Prof.  Ming Li

      Zhejiang Key Laboratory of Intelligent Education Technology and Application, Zhejiang Normal University, Jinhua, China.

      Research Interests: graph neural networks; hypergraph neural networks; graph learning; hypergraph learning; graph machine learning; learning theory; AI for education.

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    • Prof.  Jiawei Jiang

      School of Computer Science, Wuhan University, Wuhan, China.

      Research Interests: large-scale machine learning algorithms; big data processing and analysis; graph computing.

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    • Prof.  Hongzhi Yin

      School of Electrical Engineering and Computer Science (EECS), Faculty of Engineering, Architecture and Information Technology, The University of Queensland, Australia.

      Research Interests: recommender system; graph learning and relational machine learning; spatiotemporal data mining; foundation models and LLMs; decentralized/federated learning, edge intelligence; time series and sequence mining and prediction.

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    • Prof.  Jianzhong Qi

      School of Computing and Information Systems, The University of Melbourne, Parkville, Australia.

      Research Interests: graph data management and mining; knowledge bases; machine learning.

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    • Prof.  Xia Feng

      School of Computing Technologies, RMIT University, Melbourne, Australia.

      Research Interests: graph learning; generative AI; digital brain; brain-computer interface; robot learning; embodied intelligence.

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