Biblio

Export 169 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Z
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", {VLDB} J., vol. 24, pp. 245–270, 2015.
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, 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, 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, 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., L. Qin, and J. Xu Yu, "Contract & Expand: I/O Efficient SCCs Computing", ICDE, pp. 208–219, 2014.
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, 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.
Y
Yu, J. Xu, Z. Chong, H. Lu, and A. Zhou, "False Positive or False Negative: Mining Frequent Itemsets from High Speed Transactional Data Streams", VLDB, pp. 204-215, 2004.
Yu, J. Xu, Z. Li, and G. Liu, "A data mining proxy approach for efficient frequent itemset mining", VLDB J., vol. 17, no. 4, pp. 947-970, 2008.
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.
X
Xu, Y., J. Xu Yu, G. Liu, and H. Lu, "From Path Tree To Frequent Patterns: A Framework for Mining Frequent Patterns", ICDM, pp. 514-521, 2002.
W
Wu, D., Y. Ke, J. Xu Yu, P. S. Yu, and L. Chen 000, 2, "Detecting Leaders from Correlated Time Series", DASFAA (1), pp. 352-367, 2010.
Wu, D., G. Pui Cheong Fung, J. Xu Yu, and Z. Liu, "Mining Multiple Time Series Co-movements", APWeb, pp. 572-583, 2008.
Wu, D., Y. Ke, J. Xu Yu, P. S. Yu, and L. Chen 000, 2, "Leadership discovery when data correlatively evolve", World Wide Web, vol. 14, no. 1, pp. 1-25, 2011.

Pages