Biblio

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2021
Zhang, H., M. Qiao, J. Xu Yu, and H. Cheng, "Fast Distributed Complex Join Processing", ICDE, pp. 2087-2092, 2021.
Lu, C., J. Xu Yu, Z. Zhang, and H. Cheng, "Graph Iso/Auto-morphism: A Divide-&-Conquer Approach", SIGMOD, pp. 1195-1207, 2021.
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.
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.
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.
Zhang, H., J. Xu Yu, Y. Zhang, K. Zhao, and H. Cheng, "Distributed Subgraph Counting: A General Approach", PVLDB, pp. 2493-2507, 2020.
Piao, C., W. Zheng, Y. Rong, and H. Cheng, "Maximizing the Reduction Ability for Near-maximum Independent Set Computation", PVLDB, pp. 2466-2478, 2020.
2019
Zheng, W., C. Piao, H. Cheng, and J. Xu Yu, "Computing a Near-Maximum Independent Set in Dynamic Graphs", ICDE, pp. 76-87, 2019.
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.
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, 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.
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.
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.
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.
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.
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.
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.
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.
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.

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