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Jieming Shi

 https://orcid.org/0000-0002-0465-1551
Calculated based on number of publications stored in Pure and citations from Scopus
20202024

Research activity per year

  • 14 Conference article published in proceeding or book
  • 10 Journal article
  • 3 Conference article
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Conference article published in proceeding or book

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  • 2024

    BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection

    Liu, J., He, M., Shang, X., Shi, J., Cui, B. & Yin, H., May 2024, IEEE International Conference on Data Engineering, ICDE 2024. IEEE, p. 1-16

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Effective Clustering on Large Attributed Bipartite Graphs

    Yang, R., Wu, Y., Lin, X., Wang, Q., Chan, T. N. & Shi, J., May 2024, (Accepted/In press) KDD. p. 1-14

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • Minimum Strongly Connected Subgraph Collection in Dynamic Graphs

    Chen, X., Shi, J., Peng, Y., Lin, W., Wang, S. & Zhang, W., May 2024, Proceedings of the VLDB Endowment. 6 ed. Vol. 17. p. 1324-1336 13 p. (Proceedings of the VLDB Endowment).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • 2023

    Anomaly Detection in Financial Transactions Via Graph-Based Feature Aggregations

    Wang, H., Yang, R. & Shi, J., Aug 2023, Big Data Analytics and Knowledge Discovery - 25th International Conference, DaWaK 2023, Proceedings. Wrembel, R., Gamper, J., Kotsis, G., Khalil, I. & Tjoa, A. M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 64-79 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14148 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    2 Citations (Scopus)

  • EmbedX: A Versatile, Efficient and Scalable Platform to Embed Both Graphs and High-Dimensional Sparse Data

    Zou, Y., Ding, Z., Shi, J., Guo, S., Su, C. & Zhang, Y., Aug 2023, Proceedings of the 49th International Conference on Very Large Data Bases, VLDB 2023. 12 ed. Vol. 16. p. 3543-3556 14 p. (Proceedings of the VLDB Endowment).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

  • LD²: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings

    Liao, N., Li, X., Luo, S. & Shi, J., Sept 2023, Advances in Neural Information Processing Systems. NeurIPS 2023. Vol. 36. p. 1-13 (Advances in Neural Information Processing Systems).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    3 Citations (Scopus)

  • Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning

    Zhang, Q., wang, Z., long, C., Chao, H., Yiu, S. M., Liu, Y., Cong, G. & Shi, J., Apr 2023, IEEE International Conference on Data Engineering. p. 1-13

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    4 Citations (Scopus)

  • SlotGAT: Slot-based Message Passing for Heterogeneous Graphs

    Zhou, Z., Shi, J., Yang, R., Zou, Y. & Li, Q., Jun 2023, Proceedings of Machine Learning Research: ICML. Vol. 202. p. 1-14

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    Open Access
    3 Citations (Scopus)
  • 2022

    Efficiently Answering k-hop Reachability Queries in Large Dynamic Graphs for Fraud Feature Extraction

    Xu, Z., Luo, S., Shi, J., Li, H., Lin, C., Sun, Q. & Hu, S., Aug 2022, Proceedings - 2022 23rd IEEE International Conference on Mobile Data Management, MDM 2022. Institute of Electrical and Electronics Engineers Inc., p. 238-245 8 p. (Proceedings - IEEE International Conference on Mobile Data Management; vol. 2022-June).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    2 Citations (Scopus)

  • Example-based Spatial Search at Scale

    Zhang, H., Luo, S., Shi, J., Nathan Yan, J. & Sun, W., Aug 2022, Proceedings - 2022 IEEE 38th International Conference on Data Engineering, ICDE 2022. IEEE Computer Society, p. 539-551 13 p. (Proceedings - International Conference on Data Engineering; vol. 2022-May).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    2 Citations (Scopus)

  • Scalable and Effective Bipartite Network Embedding

    Yang, R., Shi, J., Huang, K. & Xiao, X., 10 Jun 2022, SIGMOD 2022 - Proceedings of the 2022 International Conference on Management of Data. Association for Computing Machinery, p. 1977-1991 15 p. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    Open Access
    10 Citations (Scopus)
  • 2021

    Effective and Scalable Clustering on Massive Attributed Graphs

    Yang, R., Shi, J., Yang, Y., Huang, K., Zhang, S. & Xiao, X., 2021, Effective and Scalable Clustering on Massive Attributed Graphs. The Web Conference: International World Wide Web Conferences Steering Committee, p. 3675-3687 13 p.

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    Open Access
    8 Citations (Scopus)

  • MOTS: Minimax Optimal Thompson Sampling

    Jin, T., Xu, P., Shi, J., Xiao, X. & Gu, Q., 2021, MOTS: Minimax Optimal Thompson Sampling. International Conference on Machine Learning (ICML), p. 1-27 27 p.

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    Open Access

  • Top-k Closest Pair Queries over Spatial Knowledge Graph

    Wu, F., Xie, X. & Shi, J., 2021, Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Proceedings. Jensen, C. S., Lim, E.-P., Yang, D.-N., Lee, W.-C., Tseng, V. S., Kalogeraki, V., Huang, J.-W. & Shen, C.-Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 625-640 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12681 LNCS).

    Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

    2 Citations (Scopus)