Biblio

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Cheng, J., J. Xu Yu, and R. Cheng, "On-Line Preferential Nearest Neighbor Browsing in Large Attributed Graphs", DASFAA Workshops, pp. 2-19, 2010.
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Song, S., L. Chen 000, 2, and J. Xu Yu, "Answering Frequent Probabilistic Inference Queries in Databases", IEEE Trans. Knowl. Data Eng., vol. 23, no. 4, pp. 512-526, 2011.
Zheng, W., H. Cheng, L. Zou, J. Xu Yu, and K. Zhao, "Natural Language Question/Answering: Let Users Talk With The Knowledge Graph", Proceedings of the 2017 {ACM} on Conference on Information and Knowledge Management, {CIKM} 2017, Singapore, November 06 - 10, 2017, pp. 217–226, 2017.
Fung, G. Pui Cheong, J. Xu Yu, and W. Lam, "News Sensitive Stock Trend Prediction", PAKDD, pp. 481-493, 2002.
Gao, J., J. Xu Yu, R. Jin, J. Zhou, T. Wang, and D. Yang, "Neighborhood-privacy protected shortest distance computing in cloud", SIGMOD Conference, pp. 409-420, 2011.
Gou, G., J. Xu Yu, C-H. Choi, and H. Lu, "An Efficient and Interactive A*-Algorithm with Pruning Power: Materialized View Selection Revisited", DASFAA, pp. 231-, 2003.
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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.
Rong, Y., and H. Cheng, "Minimizing Dependence between Graphs", Proceedings of the 2017 {ACM} on Conference on Information and Knowledge Management, {CIKM} 2017, Singapore, November 06 - 10, 2017, pp. 1827–1836, 2017.
Piao, C., W. Zheng, Y. Rong, and H. Cheng, "Maximizing the Reduction Ability for Near-maximum Independent Set Computation", PVLDB, pp. 2466-2478, 2020.
Hou, G., X. Cheng, S. Wang, and Z. Wei, "Massively Parallel Algorithms for Personalized PageRank.", PVLDB, pp. 1668-1680, 2021.
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.
Qin, L., J. Xu Yu, B. Ding, and Y. Ishikawa, "Monitoring Aggregate k-NN Objects in Road Networks", SSDBM, pp. 168-186, 2008.
Wu, D., G. Pui Cheong Fung, J. Xu Yu, and Z. Liu, "Mining Multiple Time Series Co-movements", APWeb, pp. 572-583, 2008.
Zhao, P., and J. Xu Yu, "Mining Closed Frequent Free Trees in Graph Databases", DASFAA, pp. 91-102, 2007.
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.
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.
Tang, N., J. Xu Yu, H. Tang, T. M. Özsu, and P. A. Boncz, "Materialized View Selection in XML Databases", DASFAA, pp. 616-630, 2009.
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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.
Zhao, K., Z. He, J. Xu Yu, and Y. Rong, "Learning with small data: subgraph counting queries", Data Science and Engineering, pp. 1–14, 2023.
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, Q. Li, H. Zhang, and Y. Rong, "Learned sketch for subgraph counting: a holistic approach", The VLDB Journal, pp. 1–26, 2023.
Zhao, K., J. Xu Yu, H. Zhang, Q. Li, and Y. Rong, "A Learned Sketch for Subgraph Counting", SIGMOD, pp. 2142-2155, 2021.
Liu, Z., J. Xu Yu, X. Lin, H. Lu, and W. Wang 0011, "Locating Motifs in Time-Series Data", PAKDD, pp. 343-353, 2005.
Li, R-H., J. Xu Yu, and J. Liu, "Link prediction: the power of maximal entropy random walk", CIKM, pp. 1147-1156, 2011.
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.

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