Biblio

Export 91 results:
Filters: First Letter Of Last Name is L  [Clear All Filters]
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.
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.
Li, J., J. Yu, J. Li, H. Zhang, K. Zhao, Y. Rong, H. Cheng, and J. Huang, "Dirichlet Graph Variational Autoencoder", NeurIPS, 2020.
2021
Lu, C., J. Xu Yu, Z. Zhang, and H. Cheng, "Graph Iso/Auto-morphism: A Divide-&-Conquer Approach", SIGMOD, pp. 1195-1207, 2021.
Zhao, K., J. Xu Yu, H. Zhang, Q. Li, and Y. Rong, "A Learned Sketch for Subgraph Counting", SIGMOD, pp. 2142-2155, 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.
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.
Zhao, K., J. Xu Yu, Y. Rong, M. Liao, and J. Huang, "Towards Expectation-Maximization by SQL in RDBMS", DASFAA, pp. 778-794, 2021.
Zhao, K., S. Liu, J. Xu Yu, and Y. Rong, "Towards Feature-free TSP Solver Selection: A Deep Learning Approach", IJCNN, pp. 1-8, 2021.
2022
Lu, C., J. Xu Yu, H. Wei, and Y. Zhang, "Enumerating Maximum Cliques in Massive Graphs", IEEE Trans. Knowl. Data Eng., vol. 34, pp. 4215–4230, 2022.
Peng, Y., S. Bian, R. Li, S. Wang, and J. Xu Yu, "Finding Top-r Influential Communities under Aggregation Functions", 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022: IEEE, pp. 1941–1954, 2022.
Zhang, H., Q. Li, K. Zhao, J. Xu Yu, and Y. Zhu, "How Learning Can Help Complex Cyclic Join Decomposition", 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022: IEEE, pp. 3138–3141, 2022.
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.
2023
Fang, S., K. Zhao, G. Li, and J. Xu Yu, "Community search: a meta-learning approach", 2023 IEEE 39th International Conference on Data Engineering (ICDE): IEEE, pp. 2358–2371, 2023.
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.

Pages