# Corresponding author · * Co-first author

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  1. Efficient GPU-Accelerated Adaptive Minimum Cost Seed Selection

    Gongyao Guo, Chen Feng, Yiran Li, Jieming Shi

    PVLDB 2026. Proceedings of the VLDB Endowment, 2026

  2. Efficient GPU-Accelerated Local Subgraph Counting

    Qiao He, Yiran Li, Man Lung Yiu, Jieming Shi

    PVLDB 2026. Proceedings of the VLDB Endowment, 2026

  3. Retrieve-and-Verify: A Table Context Selection Framework for Accurate Column Annotations

    Zhihao Ding, Yongkang Sun, Jieming Shi#

    SIGMOD 2026. Proceedings of the ACM on Management of Data, 3(6), Article 358, 1–27, December 2025

  4. Efficient Algorithms for Budgeted Profit Maximization With Theoretical Guarantees

    Qintian Guo, Chen Feng, Jieming Shi, Jing Tang, Xiaofang Zhou, Sibo Wang

    TKDE 2026. IEEE Transactions on Knowledge and Data Engineering, 2026

  5. SA-Diff: Semantic-Aware Graph Outlier Generation via Diffusion Models for Graph Out-of-Distribution Detection

    Yicong Dong, Rundong He, Zhongyi Han, Jieming Shi, Yilong Yin

    KBS 2026. Knowledge-Based Systems, 2026

  6. Effective and Efficient Attributed Hypergraph Embedding on Nodes and Hyperedges

    Yiran Li, Gongyao Guo, Chen Feng, Jieming Shi#

    PVLDB 2025. Proceedings of the VLDB Endowment, 18(11): 4269–4281, 2025

  7. Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search

    Fangyuan Zhang, Mengxu Jiang, Guanhao Hou, Jieming Shi, Hua Fan, Wenchao Zhou, Feifei Li, Sibo Wang

    PACMMOD 2025. Proceedings of the ACM on Management of Data, 3(3), June 2025, Article No.: 152, Pages 1 – 26

  8. DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter

    Mengxu Jiang, Zhi Yang, Fangyuan Zhang, Guanhao Hou, Jieming Shi, Wenchao Zhou, Feifei Li, Sibo Wang

    PACMMOD 2025. Proceedings of the ACM on Management of Data, 3(3), Article No.: 148, Pages 1 – 26

  9. Efficient High-Quality Clustering for Large Bipartite Graphs

    Renchi Yang, Jieming Shi#

    PACMMOD 2024. Proceedings of the ACM on Management of Data, 2(1), Article No.: 23, Pages 1 - 27 · Paper

  10. Minimum Strongly Connected Subgraph Collection in Dynamic Graphs

    Xin Chen, Jieming Shi#, You Peng, Wenqing Lin, Sibo Wang, Wenjie Zhang

    PVLDB 2024. Proceedings of the VLDB Endowment, 17(6), 1324-1336 · Paper

  11. A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation

    Yiran Li, Gongyao Guo, Jieming Shi#, Renchi Yang, Shiqi Shen, Qing Li, Jun Luo

    VLDBJ 2024. The VLDB Journal, vol. 33, no. 6, pp. 1913–1943, Nov. 2024 · Paper

  12. Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity

    Anguo Zhang, Jieming Shi, Junyi Wu, Yongcheng Zhou, Wei Yu

    TNNLS 2024. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 12, pp. 17177-17188, 2024 (early access: August 2023)

  13. Efficient and Effective Attributed Hypergraph Clustering via K-Nearest Neighbor Augmentation

    Yiran Li, Renchi Yang, Jieming Shi#

    PACMMOD 2023. Proceedings of the ACM on Management of Data 1(2): 116:1-116:23, Seattle, USA, June 2023 · Paper · Code

  14. Effective and Efficient Route Planning Using Historical Trajectories on Road Networks

    Wei Tian, Jieming Shi#, Siqiang Luo, Hui Li, Xike Xie, Yuanhang Zou

    PVLDB 2023. Proceedings of the VLDB Endowment, 16(10), 2512-2524, Vancouver, Canada, Aug 2023 · Paper · Code

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

    Yuanhang Zou*, Zhihao Ding*, Jieming Shi#, Shuting Guo, Chunchen Su, Yafei Zhang

    PVLDB 2023. Proceedings of the VLDB Endowment, 16(12), 3543-3556, Vancouver, Canada, Aug 2023 · Paper · Code

  16. PANE: Scalable and Effective Attributed Network Embedding

    Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu

    VLDBJ 2023. The VLDB Journal, 32(6): 1237–1262, 2023 · Paper · Code

  17. Effective Stabilized Self-Training on Few-Labeled Graph Data

    Ziang Zhou, Jieming Shi#, Shengzhong Zhang, Zengfeng Huang, Qing Li

    Inf Sci. 2023. Information Sciences, Volume 631, Pages 369-384, June 2023 · Paper

  18. Multi-task Learning for Recommendation over Heterogeneous Information Network

    Hui Li, Yanlin Wang, Ziyu Lyu, Jieming Shi

    TKDE 2022. IEEE Transactions on Knowledge and Data Engineering, 34, 2 (Feb. 2022), 789–802

  19. Scaling Attributed Network Embedding to Massive Graphs

    Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav S. Bhowmick

    VLDB 2021. Proceedings of the VLDB Endowment, 14(1): 37–49. (Best Research Paper Award at VLDB 2021) · Paper

  20. Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization

    Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi#, Keke Huang, and Xiaokui Xiao

    PVLDB 2021. Proceedings of the VLDB Endowment, 14(10): 1756–1768, 2021

  21. Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs

    Jieming Shi*, Tianyuan Jin*, Renchi Yang, Xiaokui Xiao, Yin Yang

    PVLDB 2020. Proceedings of the VLDB Endowment, 13(7): 966–980, 2020 · Paper · Code

  22. Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank

    Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang and Sourav S. Bhowmick

    PVLDB 2020. Proceedings of the VLDB Endowment, 13(5): 670–683, 2020

  23. Top-k relevant semantic place retrieval on spatiotemporal RDF data

    Dingming Wu, Hao Zhou, Jieming Shi#, Nikos Mamoulis

    VLDBJ 2020. The VLDB Journal, 29(4): 893-917 (2020)

  24. Realtime Top-k Personalized PageRank over Large Graphs on GPUs

    Jieming Shi, Renchi Yang, Tianyuan Jin, Xiaokui Xiao, Yin Yang

    PVLDB 2019. Proceedings of the VLDB Endowment, 13(1): 15–28, September 2019 (presented at VLDB 2020) · Paper · Code · Technical Report

  25. Density-Based Place Clustering Using Geo-Social Network Data

    Dingming Wu, Jieming Shi#, Nikos Mamoulis

    TKDE 2018. IEEE Transactions on Knowledge and Data Engineering, 30(5): 838-851, May 2018

  26. Textually Relevant Spatial Skylines

    Jieming Shi, Dingming Wu, Nikos Mamoulis

    TKDE 2016. IEEE Transactions on Knowledge and Data Engineering, 28(1): 224-237, Jan 2016

Invited Articles and Research Highlights

  1. No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server

    Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Juncheng Liu

    SIGMOD Record 2022. SIGMOD Record 2022, March, vol. 51, issue 1, p. 42-49. (2022 ACM SIGMOD Research Highlight Award) · Paper

  2. Clustering in Geo-Social Networks

    Dingming Wu, Nikos Mamoulis, Jieming Shi

    IEEE Data Engineering Bulletin 2015. IEEE Data Engineering Bulletin, 38(2): 47–57, 2015. Invited article