Biblio

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Yu, J. Xu, C-H. Choi, G. Gou, and H. Lu, "Selecting Views with Maintenance Cost Constraints: Issues, Heuristics and Performance", Journal of Research and Practice in Information Technology, vol. 36, no. 2, pp. 89-110, 2004.
Yu, J. Xu, L. Qin, and L. Chang, "Keyword Search in Relational Databases: A Survey", IEEE Data Eng. Bull., vol. 33, no. 1, pp. 67-78, 2010.
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Zhang, Y., J. Xu Yu, Y. Zhang, and L. Qin, "A Fast Order-Based Approach for Core Maintenance", 33rd {IEEE} International Conference on Data Engineering, {ICDE} 2017, San Diego, CA, USA, April 19-22, 2017, pp. 337–348, 2017.
Zhang, Z., J. Xu Yu, L. Qin, L. Chang, and X. Lin, "I/O efficient: computing SCCs in massive graphs", SIGMOD Conference: ACM, pp. 181-192, 2013.
Zhang, Z., J. Xu Yu, L. Qin, L. Chang, and X. Lin, "I/O efficient: computing SCCs in massive graphs", {VLDB} J., vol. 24, pp. 245–270, 2015.
Zhang, X., K. Xie, S. Wang, and Z. Huang, "Learning Based Proximity Matrix Factorization for Node Embedding", KDD, pp. 2243-2253, 2021.
Zhang, Y., J. Xu Yu, Y. Zhang, and L. Qin, "A Fast Order-Based Approach for Core Maintenance", CoRR, vol. abs/1606.00200, 2016.
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.
Zhang, Z., J. Xu Yu, L. Qin, Q. Zhu, and X. Zhou, "I/O cost minimization: reachability queries processing over massive graphs", EDBT, pp. 468-479, 2012.
Zhang, S., L. Qin, Y. Zheng, and H. Cheng, "Effective and efficient: large-scale dynamic city express", Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, pp. 48:1–48:4, 2015.
Zhang, Z., L. Qin, and J. Xu Yu, "Contract & Expand: I/O Efficient SCCs Computing", ICDE, pp. 208–219, 2014.
Zhang, H., Y. Zhu, L. Qin, H. Cheng, and J. Xu Yu, "Efficient Local Clustering Coefficient Estimation in Massive Graphs", Database Systems for Advanced Applications - 22nd International Conference, {DASFAA} 2017, Suzhou, China, March 27-30, 2017, Proceedings, Part {II}, pp. 371–386, 2017.
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, Z., J. Xu Yu, L. Qin, and Z. Shang, "Divide & Conquer: I/O Efficient Depth-First Search", Proceedings of the 2015 {ACM} {SIGMOD} International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015, pp. 445–458, 2015.
Zhang, H., M. Qiao, J. Xu Yu, and H. Cheng, "Fast Distributed Complex Join Processing", ICDE, pp. 2087-2092, 2021.
Zhang, Y., and J. Xu Yu, "Unboundedness and Efficiency of Truss Maintenance in Evolving Graphs", SIGMOD, pp. 1024-1041, 2019.
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.
Zhang, H., J. Xu Yu, Y. Zhang, K. Zhao, and H. Cheng, "Distributed Subgraph Counting: A General Approach", PVLDB, pp. 2493-2507, 2020.
Zhang, S., L. Qin, Y. Zheng, and H. Cheng, "Effective and Efficient: Large-Scale Dynamic City Express", {IEEE} Trans. Knowl. Data Eng., vol. 28, pp. 3203–3217, 2016.
Zhang, Y., and J. Xu Yu, "Hub Labeling for Shortest Path Counting", SIGMOD, pp. 1813-1828, 2020.
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., 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., 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.
Zhao, P., J. Xu Yu, and P. S. Yu, "Graph Indexing: Tree + Delta $>$= Graph", VLDB, pp. 938-949, 2007.
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.

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