Biblio

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2023
Fang, S., K. Zhao, G. Li, and J. Xu Yu, "Community search: a meta-learning approach", 2023 IEEE 39th International Conference on Data Engineering (ICDE): IEEE, pp. 2358–2371, 2023.
Zhao, K., Z. Zhang, Y. Rong, J. Xu Yu, and J. Huang, "Finding Critical Users in Social Communities via Graph Convolutions", IEEE Trans. Knowl. Data Eng., vol. 35, pp. 456–468, 2023.
Zhao, K., J. Xu Yu, Q. Li, H. Zhang, and Y. Rong, "Learned sketch for subgraph counting: a holistic approach", The VLDB Journal, pp. 1–26, 2023.
Zhao, K., Z. He, J. Xu Yu, and Y. Rong, "Learning with small data: subgraph counting queries", Data Science and Engineering, pp. 1–14, 2023.
Peng, Y., J. Xu Yu, and S. Wang, "PSPC: efficient parallel shortest path counting on large-scale graphs", 2023 IEEE 39th International Conference on Data Engineering (ICDE): IEEE, pp. 896–908, 2023.
2022
Lu, C., J. Xu Yu, H. Wei, and Y. Zhang, "Enumerating Maximum Cliques in Massive Graphs", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 4215–4230, 2022.
Peng, Y., S. Bian, R. Li, S. Wang, and J. Xu Yu, "Finding Top-r Influential Communities under Aggregation Functions", 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022: IEEE, pp. 1941–1954, 2022.
Zhang, H., Q. Li, K. Zhao, J. Xu Yu, and Y. Zhu, "How Learning Can Help Complex Cyclic Join Decomposition", 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022: IEEE, pp. 3138–3141, 2022.
Zhao, K., J. Xu Yu, Z. He, R. Li, and H. Zhang, "Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process", SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022: ACM, pp. 973–987, 2022.
Zhang, H., J. Xu Yu, Y. Zhang, and K. Zhao, "Parallel Query Processing: To Separate Communication from Computation", SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022: ACM, pp. 1447–1461, 2022.
Zhang, Y., and J. Xu Yu, "Relative subboundedness of contraction hierarchy and hierarchical 2-hop index in dynamic road networks", Proceedings of the 2022 International Conference on Management of Data, pp. 1992–2005, 2022.
Zhao, K., J. Su, J. Xu Yu, and H. Zhang, "SQL-G: Efficient Graph Analytics by SQL.", IEEE Trans. Knol. Data Eng., vol. 33(5), issue 1973-1987, 2022.
2021
Zhang, H., M. Qiao, J. Xu Yu, and H. Cheng, "Fast Distributed Complex Join Processing", ICDE, pp. 2087-2092, 2021.
Lu, C., J. Xu Yu, Z. Zhang, and H. Cheng, "Graph Iso/Auto-morphism: A Divide-&-Conquer Approach", SIGMOD, pp. 1195-1207, 2021.
Zhao, K., Y. Rong, J. Xu Yu, W. Huang, J. Huang, and H. Zhang, "Graph Ordering: Towards the Optimal by Learning", WISE, pp. 423-437, 2021.
Zhao, K., J. Xu Yu, H. Zhang, Q. Li, and Y. Rong, "A Learned Sketch for Subgraph Counting", SIGMOD, pp. 2142-2155, 2021.
Zhao, K., J. Xu Yu, Y. Rong, M. Liao, and J. Huang, "Towards Expectation-Maximization by SQL in RDBMS", DASFAA, pp. 778-794, 2021.
Zhao, K., S. Liu, J. Xu Yu, and Y. Rong, "Towards Feature-free TSP Solver Selection: A Deep Learning Approach", IJCNN, pp. 1-8, 2021.
2020
Li, J., J. Yu, J. Li, H. Zhang, K. Zhao, Y. Rong, H. Cheng, and J. Huang, "Dirichlet Graph Variational Autoencoder", NeurIPS, 2020.
Zhang, H., J. Xu Yu, Y. Zhang, K. Zhao, and H. Cheng, "Distributed Subgraph Counting: A General Approach", PVLDB, pp. 2493-2507, 2020.
Bian, S., Q. Gun, S. Wang, and J. Xu Yu, "Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks", PVLDB, pp. 1498-1510, 2020.
Zhang, Y., and J. Xu Yu, "Hub Labeling for Shortest Path Counting", SIGMOD, pp. 1813-1828, 2020.
2019
Zheng, W., C. Piao, H. Cheng, and J. Xu Yu, "Computing a Near-Maximum Independent Set in Dynamic Graphs", ICDE, pp. 76-87, 2019.
Zhang, Y., and J. Xu Yu, "Unboundedness and Efficiency of Truss Maintenance in Evolving Graphs", SIGMOD, pp. 1024-1041, 2019.
2018
Lu, C., J. Xu Yu, and H. Wei, "Exploring Triangle-Free Dense Structures", {IEEE} Trans. Knowl. Data Eng., vol. 30, pp. 278–291, 2018.

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