Biblio

Export 169 results:
Conference Paper
Li, R-H., and J. Xu Yu, "Scalable Diversified Ranking on Large Graphs", ICDM, pp. 1152-1157, 2011.
Qin, L., J. Xu Yu, L. Chang, and Y. Tao, "Scalable Keyword Search on Large Data Streams", ICDE, pp. 1199-1202, 2009.
Huang, X., H. Cheng, J. Yang, J. Xu Yu, H. Fei, and J. Huan, "Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach", DASFAA (1), pp. 197-212, 2012.
Liu, Z., J. Xu Yu, Y. Ke, X. Lin, and L. Chen 000, 2, "Spotting Significant Changing Subgraphs in Evolving Graphs", ICDM, pp. 917-922, 2008.
Pan, Q., H. Cheng, D. Wu, J. Xu Yu, and Y. Ke, "Stock Risk Mining by News", ADC, 2010.
Li, J., Y. Rong, H. Cheng, H. Meng, W-. bin Huang, and J. Huang, "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.", WWW, pp. 972-982, 2019.
Huang, W., J. Xu Yu, and Z. Shang, "A Sketch-First Approach for Finding TSP", Databases Theory and Applications - 27th Australasian Database Conference, {ADC} 2016, Sydney, NSW, September 28-29, 2016, Proceedings, pp. 123–136, 2016.
Wei, H., J. Xu Yu, C. Lu, and X. Lin, "Speedup Graph Processing by Graph Ordering", Proceedings of the 2016 International Conference on Management of Data, {SIGMOD} Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016, pp. 1813–1828, 2016.
Fung, G. Pui Cheong, J. Xu Yu, H. Lu, and P. S. Yu, "Text Classification without Labeled Negative Documents", ICDE, pp. 594-605, 2005.
Fung, G. Pui Cheong, J. Xu Yu, H. Liu, and P. S. Yu, "Time-dependent event hierarchy construction", KDD, pp. 300-309, 2007.
Ke, Y., J. Cheng, and J. Xu Yu, "Top-k Correlative Graph Mining", SDM, pp. 1038-1049, 2009.
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.
Zhang, Y., and J. Xu Yu, "Unboundedness and Efficiency of Truss Maintenance in Evolving Graphs", SIGMOD, pp. 1024-1041, 2019.
Lin, T., S. Zhang, and H. Cheng, "Understanding Sparse Topical Structure of Short Text via Stochastic Variational-Gibbs Inference", Proceedings of the 25th {ACM} International on Conference on Information and Knowledge Management, {CIKM} 2016, Indianapolis, IN, USA, October 24-28, 2016, pp. 407–416, 2016.
Cheng, H., J. Ye, and Z. Zhu, "What's Your Next Move: User Activity Prediction in Location-based Social Networks", SDM: SIAM, pp. 171-179, 2013.
Rong, Y., H. Cheng, and Z. Mo, "Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events", Proceedings of the 21th {ACM} {SIGKDD} International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015, pp. 1015–1024, 2015.
Journal Article
Shang, Z., and J. Xu Yu, "Auto-Approximation of Graph Computing", {PVLDB}, vol. 7, pp. 1833–1844, 2014.
Cheng, H., Y. Zhou, and J. Xu Yu, "Clustering Large Attributed Graphs: A Balance between Structural and Attribute Similarities", TKDD, vol. 5, no. 2, pp. 12, 2011.
Qin, L., J. Xu Yu, and L. Chang, "Computing Structural Statistics by Keywords in Databases", IEEE Trans. Knowl. Data Eng., vol. 24, no. 10, pp. 1731-1746, 2012.
Qiao, M., H. Cheng, L. Qin, J. Xu Yu, P. S. Yu, and L. Chang, "Computing weight constraint reachability in large networks", VLDB J., vol. 22, no. 3, pp. 275-294, 2013.
Li, R-H., J. Liu, J. Xu Yu, H. Chen, and H. Kitagawa, "Co-occurrence prediction in a large location-based social network", Frontiers of Computer Science, vol. 7, no. 2, pp. 185-194, 2013.
Qin, L., J. Xu Yu, and L. Chang, "Diversifying Top-K Results", PVLDB, vol. 5, no. 11, pp. 1124-1135, 2012.
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.
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.

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