Biblio

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2012
Zhu, Y., L. Qin, J. Xu Yu, and H. Cheng, "Finding top-k similar graphs in graph databases", EDBT, pp. 456-467, 2012.
Zhu, Y., J. Xu Yu, H. Cheng, and L. Qin, "Graph classification: a diversified discriminative feature selection approach", CIKM, pp. 205-214, 2012.
Li, R-H., J. Xu Yu, X. Huang, H. Cheng, and Z. Shang, "Measuring robustness of complex networks under MVC attack", CIKM, pp. 1512-1516, 2012.
Qiao, M., H. Cheng, L. Chang, and J. Xu Yu, "Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme", ICDE, pp. 462-473, 2012.
Li, R-H., J. Xu Yu, X. Huang, and H. Cheng, "Robust Reputation-Based Ranking on Bipartite Rating Networks", SDM, pp. 612-623, 2012.
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.
Chang, L., J. Xu Yu, L. Qin, H. Cheng, and M. Qiao, "The exact distance to destination in undirected world", VLDB J., vol. 21, no. 6, pp. 869-888, 2012.
2013
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.
Cheng, H., J. Han, X. Yan, and P. S. Yu, "Efficient Direct Mining of Selective Discriminative Patterns for Classification", Contrast Data Mining: CRC Press, pp. 39-58, 2013.
Liu, Z., R. Jin, H. Cheng, and J. Xu Yu, "Frequent Subgraph Summarization with Error Control", WAIM: Springer, pp. 1-12, 2013.
Li, R-H., J. Xu Yu, X. Huang, and H. Cheng, "Random-walk domination in large graphs: problem definitions and fast solutions", CoRR, vol. abs/1302.4546, 2013.
Qiao, M., L. Qin, H. Cheng, J. Xu Yu, and W. Tian, "Top-K Nearest Keyword Search on Large Graphs", PVLDB, vol. 6, no. 10, pp. 901-912, 2013.
Huang, X., H. Cheng, R-H. Li, L. Qin, and J. Xu Yu, "Top-K Structural Diversity Search in Large Networks", PVLDB, vol. 6, no. 13, pp. 1618-1629, 2013.
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.
2014
Li, R-H., J. Xu Yu, X. Huang, H. Cheng, and Z. Shang, "Measuring the impact of MVC attack in large complex networks", Inf. Sci., vol. 278, pp. 685–702, 2014.
Qiao, M., H. Cheng, L. Chang, and J. Xu Yu, "Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme", IEEE Trans. Knowl. Data Eng., vol. 26, no. 1, pp. 55-68, 2014.
Huang, X., H. Cheng, L. Qin, W. Tian, and J. Xu Yu, "Querying k-truss community in large and dynamic graphs", SIGMOD, pp. 1311–1322, 2014.
Li, R-H., J. Xu Yu, X. Huang, and H. Cheng, "Random-walk domination in large graphs", ICDE, pp. 736–747, 2014.
2015
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.
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.
2016
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.
Shang, Z., F. Li, J. Xu Yu, Z. Zhang, and H. Cheng, "Graph Analytics Through Fine-Grained Parallelism", Proceedings of the 2016 International Conference on Management of Data, {SIGMOD} Conference 2016, San Francisco, CA, USA, June 26 - July 01, 2016, pp. 463–478, 2016.
Rong, Y., Q. Zhu, and H. Cheng, "A Model-Free Approach to Infer the Diffusion Network from Event Cascade", Proceedings of the 25th {ACM} International on Conference on Information and Knowledge Management, {CIKM} 2016, Indianapolis, IN, USA, October 24-28, 2016, pp. 1653–1662, 2016.
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.
2017
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.

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