Biblio

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Li, J., M. Liu, H. Zhang, P. Wang, Y. Wen, L. Pan, and H. Cheng, "Mask-GVAE: Blind Denoising Graphs via Partition", WWW, pp. 3688-3698, 2021.
Li, R-H., and J. Xu Yu, "Scalable Diversified Ranking on Large Graphs", ICDM, pp. 1152-1157, 2011.
Li, R-H., and J. Xu Yu, "Scalable Diversified Ranking on Large Graphs", IEEE Trans. Knowl. Data Eng., vol. 25, no. 9, pp. 2133-2146, 2013.
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, Z., J. Xu Yu, H. Lu, Y. Xu, and G. Liu, "Data Mining Proxy: Serving Large Number of Users for Efficient Frequent Itemset Mining", PAKDD, pp. 458-463, 2004.
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.
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, 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.
Li, R-H., J. Xu Yu, and J. Liu, "Link prediction: the power of maximal entropy random walk", CIKM, pp. 1147-1156, 2011.
Li, J., J. Yu, J. Li, H. Zhang, K. Zhao, Y. Rong, H. Cheng, and J. Huang, "Dirichlet Graph Variational Autoencoder", NeurIPS, 2020.
Li, R-H., J. Xu Yu, X. Huang, and H. Cheng, "Robust Reputation-Based Ranking on Bipartite Rating Networks", SDM, pp. 612-623, 2012.
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.
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.
Li, R-H., J. Xu Yu, X. Huang, and H. Cheng, "Random-walk domination in large graphs", ICDE, pp. 736–747, 2014.
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.
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.
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.
Liu, Z., J. Xu Yu, X. Lin, H. Lu, and W. Wang 0011, "Locating Motifs in Time-Series Data", PAKDD, pp. 343-353, 2005.
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.
Liu, Z., J. Xu Yu, L. Chen 000, 2, and D. Wu, "Detection of Shape Anomalies: A Probabilistic Approach Using Hidden Markov Models", ICDE, pp. 1325-1327, 2008.
Liu, Z., and J. Xu Yu, "On Summarizing Graph Homogeneously", DASFAA Workshops, pp. 299-310, 2011.
Liu, Z., and J. Xu Yu, "Discovering Burst Areas in Fast Evolving Graphs", DASFAA (1), pp. 171-185, 2010.
Liu, Z., R. Jin, H. Cheng, and J. Xu Yu, "Frequent Subgraph Summarization with Error Control", WAIM: Springer, pp. 1-12, 2013.
Liu, Y., H. Cheng, and J. Cui, "PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization", Proceedings of the 2017 {ACM} on Conference on Information and Knowledge Management, {CIKM} 2017, Singapore, November 06 - 10, 2017, pp. 667–676, 2017.
Lu, C., J. Xu Yu, H. Wei, and Y. Zhang, "Finding the maximum clique in massive graphs", {PVLDB}, vol. 10, pp. 1538–1549, 2017.

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