Biblio

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2021
Cheng, X., and S. Wang, "Efficient Approximate Algorithms for Empirical Entropy and Mutual Information", SIGMOD, pp. 274-286, 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.
Hou, G., X. Cheng, S. Wang, and Z. Wei, "Massively Parallel Algorithms for Personalized PageRank.", PVLDB, pp. 1668-1680, 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.
Guo, Q., S. Wang, Z. Wei, and M. Chen, "Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened.", SIGMOD, pp. 2167-2181, 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", Data Science and Engineering, vol. 2, pp. 275–288, 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.
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.
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.

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