Shixun Huang (he/him) -- Lecturer at the University of Wollongong

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Recent Publications (Equal contributions:∗, CORE Ranking Portal)

  1. Hai Lan, Shixun Huang, Zhifeng Bao, and Renata Borovica-Gajic.
    Cardinality Estimation for Similarity Search on High-Dimensional Data Objects: The Impact of Reference Objects.
    The International Conference on Very Large Data Bases (VLDB), 2025. (To appear). (CORE Rank A*, CCF Rank A)

  2. Ge Lee, Shixun Huang, Zhifeng Bao, and Yanchang Zhao.
    Representative Time Series Discovery for Data Exploration.
    The International Conference on Very Large Data Bases (VLDB), 2025. (To appear). (CORE Rank A*, CCF Rank A)

  3. Xiaoyu Zhang∗, Shixun Huang∗, Hai Dong, Zhifeng Bao, Ryan Liu and Xun Yi.
    Optimized Edge Node Allocation Considering User Delay Tolerance for Cost Reduction.
    Transactions on Services Computing, 2024. (To appear). (CORE Rank A*, CCF Rank A, Q1 Journal)

  4. Shixun Huang, Ge Lee, Zhifeng Bao and Shirui Pan.
    Cost-effective Data Labelling for Graph Neural Networks.
    The ACM Web Conference (WWW), pp. 353-364, 2024. (Oral presentation, acceptance rate: 9.5%). (CORE Rank A*, CCF Rank A)

  5. Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Volkan Dedeoglu and Reza Arablouei.
    Optimizing Data Acquisition to Enhance Machine Learning Performance.
    The International Conference on Very Large Data Bases (VLDB), 17(6), pp. 1310-1323, 2024. (CORE Rank A*, CCF Rank A)

  6. Shixun Huang and Zhifeng Bao.
    Shortest Paths Discovery in Uncertain Networks via Transfer Learning.
    Proceedings of the ACM on Management of Data (SIGMOD), 1 (2), pp. 1-25, 2023. (CORE Rank A*, CCF Rank A)

  7. Shixun Huang, Junhao Gan, Zhifeng Bao, and Wenqing Lin.
    Managing Conflicting Interests of Stakeholders in Influencer Marketing.
    Proceedings of the ACM on Management of Data (SIGMOD), 1 (1), pp. 1-27, 2023. (CORE Rank A*, CCF Rank A)

  8. Shixun Huang, Wenqing Lin, Zhifeng Bao, and Jiachen Sun.
    Influence Maximization in Real-World Closed Social Networks.
    The International Conference on Very Large Data Bases (VLDB), 16(2), pp. 180-192, 2023. (CORE Rank A*, CCF Rank A)

  9. Tingting Wang∗, Shixun Huang∗, Zhifeng Bao, J. Shane Culpepper, and Reza Arablouei.
    Representative Routes Discovery From Massive Trajectories.
    The ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 4059-4069, 2022. (CORE Rank A*, CCF Rank A)

  10. Shixun Huang, Yuchen Li, Zhifeng Bao, and Zhao Li.
    Towards Efficient Motif-based Graph Partitioning: An Adaptive Sampling Approach.
    The IEEE International Conference on Data Engineering (ICDE), pp. 528-539, 2021. (CORE Rank A*, CCF Rank A)

  11. Shixun Huang, Zhifeng Bao, Guoliang Li, Yanghao Zhou, and J.S.Culpepper.
    Temporal Network Representation Learning via Historical Neighborhoods Aggregation.
    The IEEE International Conference on Data Engineering (ICDE), pp. 1117-1128, 2020. (CORE Rank A*, CCF Rank A)

  12. Shixun Huang, Zhifeng Bao, J.S.Culpepper and Bang Zhang.
    Finding Temporal Influential Users over Evolving Social Networks.
    The IEEE International Conference on Data Engineering (ICDE), pp. 398-409, 2019. (CORE Rank A*, CCF Rank A)

  13. Sheng Wang, Zhifeng Bao, Shixun Huang, and Rui Zhang.
    A Unified Processing Paradigm for Interactive Location-based Web Search.
    The ACM International Conference on Web Search and Data Mining (WSDM), pp. 23:1-23:15, 2018. (CORE Rank A*, CCF Rank B)