Biblio

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2017
Shi, W., W. Zheng, J. Xu Yu, H. Cheng, and L. Zou, "Keyphrase Extraction Using Knowledge Graphs", Data Science and Engineering, vol. 2, pp. 275–288, 2017.
Shi, W., W. Zheng, J. Xu Yu, H. Cheng, and L. Zou, "Keyphrase Extraction Using Knowledge Graphs", Web and Big Data - First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part {I}, pp. 132–148, 2017.
Zheng, W., H. Cheng, L. Zou, J. Xu Yu, and K. Zhao, "Natural Language Question/Answering: Let Users Talk With The Knowledge Graph", Proceedings of the 2017 {ACM} on Conference on Information and Knowledge Management, {CIKM} 2017, Singapore, November 06 - 10, 2017, pp. 217–226, 2017.
Su, J., Q. Zhu, H. Wei, and J. Xu Yu, "Reachability Querying: Can It Be Even Faster?", {IEEE} Trans. Knowl. Data Eng., vol. 29, pp. 683–697, 2017.
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.
Huang, W., J. Xu Yu, and Z. Shang, "Handling query skew in large indexes: a view based approach", Frontiers Comput. Sci., vol. 12, pp. 146–162, 2018.
Wei, H., J. Xu Yu, C. Lu, and R. Jin, "Reachability querying: an independent permutation labeling approach", {VLDB} J., vol. 27, pp. 1–26, 2018.
Wei, H., J. Xu Yu, and C. Lu, "String Similarity Search: A Hash-Based Approach", {IEEE} Trans. Knowl. Data Eng., vol. 30, pp. 170–184, 2018.
Huang, W., Y. Zhang, Z. Shang, and J. Xu Yu, "To Meet or Not to Meet: Finding the Shortest Paths in Road Networks", {IEEE} Trans. Knowl. Data Eng., vol. 30, pp. 772–785, 2018.
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.
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.
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.
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.

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