Biblio

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A
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.
C
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.
Zheng, W., C. Piao, H. Cheng, and J. Xu Yu, "Computing a Near-Maximum Independent Set in Dynamic Graphs", ICDE, pp. 76-87, 2019.
D
Li, J., J. Yu, J. Li, H. Zhang, K. Zhao, Y. Rong, H. Cheng, and J. Huang, "Dirichlet Graph Variational Autoencoder", NeurIPS, 2020.
Zhang, H., J. Xu Yu, Y. Zhang, K. Zhao, and H. Cheng, "Distributed Subgraph Counting: A General Approach", PVLDB, pp. 2493-2507, 2020.
E
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.
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.
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.
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.
F
Zhu, Y., L. Qin, J. Xu Yu, and H. Cheng, "Finding top-k similar graphs in graph databases", EDBT, pp. 456-467, 2012.
Liu, Z., R. Jin, H. Cheng, and J. Xu Yu, "Frequent Subgraph Summarization with Error Control", WAIM: Springer, pp. 1-12, 2013.
Zhang, H., M. Qiao, J. Xu Yu, and H. Cheng, "Fast Distributed Complex Join Processing", ICDE, pp. 2087-2092, 2021.
G
Zhu, Y., J. Xu Yu, H. Cheng, and L. Qin, "Graph classification: a diversified discriminative feature selection approach", CIKM, pp. 205-214, 2012.
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.
Lu, C., J. Xu Yu, Z. Zhang, and H. Cheng, "Graph Iso/Auto-morphism: A Divide-&-Conquer Approach", SIGMOD, pp. 1195-1207, 2021.
I
Zheng, W., H. Cheng, J. Yu Xu, L. Zou, and K. Zhao, "Interactive natural language question answering over knowledge graphs", Inf. Sci., vol. 481, pp. 141-159, 2019.
Jiang, Y., X. Huang, and H. Cheng, "I/O efficient k-truss community search in massive graphs", {VLDB} J., vol. 30, pp. 713-738, 2021.
K
Shi, W., W. Zheng, J. Xu Yu, H. Cheng, and L. Zou, "Keyphrase Extraction Using Knowledge Graphs", Web and Big Data - First International Joint Conference, APWeb-WAIM 2017, Beijing, China, July 7-9, 2017, Proceedings, Part {I}, pp. 132–148, 2017.
Shi, W., W. Zheng, J. Xu Yu, H. Cheng, and L. Zou, "Keyphrase Extraction Using Knowledge Graphs", Data Science and Engineering, vol. 2, pp. 275–288, 2017.
M
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, 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, 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.
Piao, C., W. Zheng, Y. Rong, and H. Cheng, "Maximizing the Reduction Ability for Near-maximum Independent Set Computation", PVLDB, pp. 2466-2478, 2020.
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.
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.

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