Publications

Academic Record: ResearchGate, DBLP

Our team welcome PhD students, master students and outstanding undergraduates from computer Science, mathematics, and other related majors to join the research group for study and research. We will provide students with a good working environment, living allowance, and careful academic guidance to help you explore the cutting-edge scientific research topic, develop the corresponding prototype system and publish high-level academic papers. For outstanding students, including undergraduates, our research group will provide opportunities to go to overseas universities for exchange and study, participate international academic conferences, and continue their studies in well-known universities in the world.

Representative Publications

Journal Papers

  1. Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu.
    A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k,\mathcal {X})$(k,X)-Core Query.
    IEEE Trans. Knowl. Data Eng. 36(7): 2831-2845 (2024) (CCF A)

  2. Qiyan Li, Yuanyuan Zhu*, Junhao Ye, Jeffrey Xu Yu.
    Skyline Group Queries in Large Road-social Networks Revisited.
    IEEE Trans. Knowl. Data Eng. 35(3): 3115-3129 (2023) (CCF A)

  3. Yuanyuan Zhu*, Qian Zhang, Lu Qin, Lijun Chang, Jeffrey Xu Yu.
    Cohesive Subgraph Search Using Keywords in Large Networks.
    IEEE Trans. Knowl. Data Eng. 34(1): 178-191 (2022) (CCF A)

  4. Qian Zeng, Ming Zhong, Yuanyuan Zhu*, Tieyun Qian, Jianxin Li.
    Business location planning based on a novel geo-social influence diffusion model.
    Inf. Sci. 559: 61-74 .2021. (CCF B)

  5. Jinbin Huang, Xin Huang, Yuanyuan Zhu*, Jianliang Xu.
    Parallel algorithms for parameter-free structural diversity search on graphs.
    World Wide Web 24(1): 397-417 .2021. (CCF B)

  6. Yuanyuan Zhu*, Lu Qin, Jeffrey Xu Yu, Hong Cheng.
    Answering Top-k Graph Similarity Queries in Graph Databases.
    IEEE Trans. Knowl. Data Eng. 32(8): 1459-1474.2020. (CCF A)

  7. Yuanyuan Zhu*, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu.
    Discovering large conserved functional components in global network alignment by graph matching.
    BMC Genomics, 19(7):670, 41-58, 2018. (SCI,IF4.275)

  8. Yuanyuan Zhu*, Hao Zhang, Lu Qin, Hong Cheng.
    Efficient MapReduce algorithms for triangle listing in billion-scale graphs.
    Distributed and Parallel Databases 35(2): 149-176 (2017). (CCF C)

  9. Yuanyuan Zhu*, Lu Qin, Jeffrey Xu Yu, Yiping Ke, and Xuemin Lin.
    High Efficiency and Quality: Large Graphs Matching.
    The VLDB Journal (VLDBJ). The VLDB Journal (VLDBJ). June 2013, Volume 22, Issue 3, pp 345-368. (CCF A)

  10. Yuanyuan Zhu*, Lu Qin, Jeffrey Xu Yu.
    Graph Matching: Applications and Algorithms.
    Communications of the CCF, 8(11): 21-27, 2012. (Special Issue)

Conference Papers

  1. Yongliang Zhang, Yuanyuan Zhu*, Hao Zhang, Congli Gao, Yuyang Wang, Guojing Li, Tianyang Xu, Ming Zhong, Jiawei Jiang, Tieyun Qian, Chenyi Zhang, Jeffrey Xu Yu.
    TGraph: A Tensor-centric Graph Processing Framework.
    SIGMOD 2025 (CCF A)

  2. Chenghan Zhang, Yuanyuan Zhu*, Lijun Chang.
    A Local Search Approach to Efficient (k,p)-Core Maintenance.
    SIGMOD 2025 (CCF A)

  3. Guanghua Li,Hao Zhang, Xibo Sun, Qiong Luo, Yuanyuan Zhu*.
    TenGraph: A Tensor-Based Graph Query Engine.
    VLDB 2024 (CCF A)

  4. Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu.
    Evolution Forest Index: Towards Optimal Temporal $k$-Core Component Search via Time-Topology Isomorphic Computation.
    Proc. VLDB Endow. 17(11): 2840-2853 (2024) (CCF A)

  5. Yaoran Chen, Difu Feng, Yuanyuan Zhu*, Guojing Li, Ming Zhong, Tieyun Qian, and Juan Liu.
    DCOAT: Dynamic core-attachment based protein complex detection.
    BIBM 2024 (CCF B)

  6. Junhao Ye, Yuanyuan Zhu*, Lu Chen.
    Top-r keyword-based community search in attributed graphs.
    ICDE 2023:1652-1664. (CCF A)

  7. Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu.
    Scalable Time-Range k-Core Query on Temporal Graphs.
    Proc. VLDB Endow. 16(5): 1168-1180 (2023) (CCF A)

  8. Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu.
    Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs.
    ICDE 2024: 3338-3350 (CCF A)

  9. Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao.
    SpeedCore: Space-efficient and Dependency-aware GPU Parallel Framework for Core Decomposition.
    ICPP 2024: 555-564 (CCF B)

  10. Tianyang Xu, Zhao Lu, Yuanyuan Zhu*.
    Efficient Triangle-Connected Truss Community Search In Dynamic Graphs.
    VLDB 2022: 519-533 (CCF A).

  11. Zhao Lu, Yuanyuan Zhu*, Ming Zhong, Jeffrey Xu Yu.
    On Time-optimal (k,p)-core Community Search in Dynamic Networks.
    ICDE 2022: 1396-1407 (CCF A).

  12. Hao Zhang, Qiyan Li, Kangfei Zhao, Jeffrey Xu Yu, Yuanyuan Zhu.
    How Learning Can Help Complex Cyclic Join Decomposition.
    ICDE 2022: 3138-3141 (CCF A).

  13. Ruifeng Tan, Yuanyuan Zhu*.
    PMGNN: A Pioneer-Master Graph Neural Network for Graph Classification.
    IJCNN 2022: 1-8

  14. Yaoran Chen, Yuanyuan Zhu*, Ming Zhong, and Juan Liu.
    COMNA: Core-attachment based protein complex detection via multiple network alignment.
    BIBM 2021: 241-244. (CCF B)

  15. Jinbin Huang, Xin Huang, Yuanyuan Zhu, Jianliang Xu.
    Parallel algorithms for parameter-free structural diversity search on graphs.
    World Wide Web 24(1): 397-417 (2021) (CCF B)

  16. Guanghua Li, Qiyan Li, Jingqiao Liu, Yuanyuan Zhu*, Ming Zhong.
    FANE: A Fusion-Based Attributed Network Embedding Framework.
    APWeb/WAIM (1) 2021: 53-60. (CCF C)

  17. Qiyan Li, Yuanyuan Zhu*, Jeffrey Xu Yu.
    Skyline Cohesive Group Queries in Large Road-social Networks.
    ICDE 2020, pp 397-408. (CCF A)

  18. Yuanyuan Zhu*, Jian He, Junhao Ye, Lu Qin, Xin Huang, Jeffrey Xu Yu.
    When Structure Meets Keywords: Cohesive Attributed Community Search.
    CIKM2020, pp.1913-1922. (CCF B)

  19. Yaoran Chen, Yuanyuan Zhu*, Ming Zhong, Rong Peng, Juan Liu.
    GPPIAL: a new global PPI network aligner based on orthologs.
    BIBM2020, pp. 100-107. (CCF B)

  20. Yuanyuan Zhu*, Kailin Ding, Ming Zhong, and Lijia Wei.
    STIM: Scalable Time-Sensitive Influence Maximization In Large Social Networks.
    DASFAA 2020. pp. 120-136. (CCF B)

  21. Qian Zeng, Ming Zhong, Yuanyuan Zhu, Jianxin Li.
    Business Location selection based on Geo-Social Networks.
    DASFAA 2020, pp.36-52. (CCF B)

  22. Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian, Jianxin Li.
    Towards both Local and Global Query Result Diversification.
    DASFAA 2019: 464-481. (CCF B)

  23. Chaoqun Yang, Yuanyuan Zhu*, Ming Zhong, Rongrong Li.
    Semantic Similarity Computation in Knowledge Graphs: Comparisons and Improvements.
    ICDE Workshops 2019: 249-252

  24. Jinbin Huang, Xin Huang, Yuanyuan Zhu, Jianliang Xu.
    Parameter-free Structural Diversity Search.
    Accepted by Wise 2019. (Best paper award) (CCF C).

  25. Yuanyuan Zhu*, Qian Zhang, Lu Qin, Lijun Chang, Jeffrey Xu Yu.
    Querying Cohesive Subgraphs by Keywords.
    ICDE, 2018, 1324-1327. (CCF A)

  26. Ming Zhong, Ying Wang, Yuanyuan Zhu.
    Coverage-Oriented Diversification of Keyword Search Results on Graphs.
    The 23nd International Conference on Database Systems for Advanced Applications(DASFAA), 2018: 166-183. (CCF B)

  27. Ming Zhong, Qian Zeng, Yuanyuan Zhu. Jianxin Li, Tieyun Qian.
    Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks.
    The 23nd International Conference on Database Systems for Advanced Applications (DASFAA), 2018: 355-371. (CCF B)

  28. Xia Wu, Zukai Tang, Yuanyuan Zhu, Yuwei Peng, Zhiyong Peng.
    Frequent Pattern Mining With Approximate Arrival-Time in Semantic Trajectories.
    Journal of Software, 2018, 29(10):3184—3204.

  29. Yuezhi Li, Yuanyuan Zhu*, Ming Zhong.
    K-core Filtered Influence Maximization. Journal of Computer Applications.
    2018,38(2), 464-470.

  30. Yuanyuan Zhu*, Yuezhi Li, Juan Liu, Lu Qin, Jeffrey Xu Yu.
    GMAlign:a new network aligner for revealing large conserved functional components.
    BIBM, 2017. (CCF B)

  31. Hao Zhang, Yuanyuan Zhu*, Lu Qin, Hong Cheng, and Jeffrey Xu Yu.
    Efficient Local Clustering Coefficient Estimation in Massive Graphs.
    DASFAA,371-386, 2017. (CCF B)

  32. Hao Zhang, Yuanyuan Zhu*, Lu Qin, Hong Cheng, and Jeffrey Xu Yu.
    Efficient Triangle Listing for Billion-Scale Graphs,IEEE BigData.
    pp. 813-822,2016 (CCF C)

  33. Xia Wu, Yuanyuan Zhu, Shengchao Xiong, Yuwei Peng, Zhiyong Peng.
    A New Similarity Measure Between Semantic Trajectories Based on Road Networks.
    APWeb 2015: 522-535. 2014. (CCF C)

  34. Ying Wang, Ming Zhong, Yuanyuan Zhu, Xuhui Li, Tieyun Qian.
    Diversified Top-k Keyword Query Interpretation on Knowledge Graphs.
    APWeb/WAIM (1) 2017: 541-555. (CCF C)

  35. Yuanyuan Zhu*, Jeffrey Xu Yu, and Lu Qin.
    Leveraging Graph Dimensions in Online Graph Search.
    Proceedings of the VLDB Endowment (PVLDB), Volume 8, No. 1,pp.85 - 96, 2014. (CCF A)

  36. Yuanyuan Zhu*, Lu Qin, Jeffrey Xu Yu, Yiping Ke, and Xuemin Lin.
    Graph Classification: A Diversified Discriminative Feature Selection Approach.
    Proceedings of the 21th ACM Conference on Information and Knowledge Management (CIKM'12), pp. 205-214, 2012. (CCF B)

  37. Yuanyuan Zhu*, Lu Qin, Jeffrey Xu Yu, and Hong Cheng.
    Finding Top-K Similar Graphs in Graph Databases.
    Proceedings of the 15th International Conference on Extending Database Technology (EDBT'12), pp. 456-467, 2012. (CCF B)

  38. Yuanyuan Zhu*, Lu Qin, Jeffrey Xu Yu, Yiping Ke, and Xuemin Lin.
    High Efficiency and Quality: Large Graphs Matching.
    Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11), pp. 1755-1764, 2011. (CCF B)

  39. Lijun Chang, Jeffrey Xu Yu, Lu Qin, Yuanyuan Zhu, and Haixun Wang.
    Finding Information Nebula over Large Networks.
    Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11), pp. 1465-1474, 2011. (CCF B)