Biblio

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Book Chapter
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.
Conference Paper
Li, J., H. Zhang, Z. Han, Y. Rong, H. Cheng, and J. Huang, "Adversarial Attack on Community Detection by Hiding Individuals", WWW, pp. 917-927, 2020.
Li, J., H. Zhang, Z. Han, Y. Rong, H. Cheng, and J. Huang, "Adversarial Attack on Community Detection by Hiding Individuals", WWW, pp. 917-927, 2020.
Li, J., J. Yu, J. Li, H. Zhang, K. Zhao, Y. Rong, H. Cheng, and J. Huang, "Dirichlet Graph Variational Autoencoder", NeurIPS, 2020.
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., Y. Rong, J. Xu Yu, W. Huang, J. Huang, and H. Zhang, "Graph Ordering: Towards the Optimal by Learning", WISE, pp. 423-437, 2021.
Huang, W., J. Xu Yu, and Z. Shang, "Handling Query Skew in Large Indexes: A View Based Approach", Databases Theory and Applications - 26th Australasian Database Conference, {ADC} 2015, Melbourne, VIC, Australia, June 4-7, 2015. Proceedings, pp. 180–193, 2015.
Zhang, X., K. Xie, S. Wang, and Z. Huang, "Learning Based Proximity Matrix Factorization for Node Embedding", KDD, pp. 2243-2253, 2021.
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.
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.
Hou, G., X. Cheng, S. Wang, and Z. Wei, "Massively Parallel Algorithms for Personalized PageRank.", PVLDB, pp. 1668-1680, 2021.
Li, J., Z. Han, H. Cheng, J. Su, P. Wang, J. Zhang, and L. Pan, "Predicting Path Failure In Time-Evolving Graphs", KDD, pp. 1279-1289, 2019.
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.
Li, P., J. Xu Yu, H. Liu, J. He, and X. Du, "Ranking Individuals and Groups by Influence Propagation", PAKDD (2), pp. 407-419, 2011.
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.
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.
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.
Zhao, K., J. Xu Yu, Y. Rong, M. Liao, and J. Huang, "Towards Expectation-Maximization by SQL in RDBMS", DASFAA, pp. 778-794, 2021.
Journal Article
Zhao, K., Z. Zhang, Y. Rong, J. Xu Yu, and J. Huang, "Finding Critical Users in Social Communities via Graph Convolutions", IEEE Trans. Knowl. Data Eng., vol. 35, pp. 456–468, 2023.
He, B., and J. Xu Yu, "High-throughput transaction executions on graphics processors", PVLDB, vol. 4, no. 5, pp. 314-325, 2011.
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.
Huang, W., and J. Xu Yu, "Investigating TSP Heuristics for Location-Based Services", Data Science and Engineering, vol. 2, pp. 71–93, 2017.

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