Prof. WANG, Sibo 王 思 博 教授
Associate Professor
BE (Fudan University)
PhD (Nanyang Technological University)
Research Interests :
* Graph Data Management
* Graph Data Analysis
* Indexing
* Approximate Algorithms
Office: Room 507, William M.W. Mong Engineering Building
Tel: (852) 3943-8310
Email: swang@se.cuhk.edu.hk
Biography
Sibo Wang is an Assistant Professor in the Department of Systems Engineering and Engineering Management, Faculty of Engineering (since Dec 2018). He received his B.E. in Software Engineering in 2011 from Fudan University and his Ph.D. in Computer Science in 2016 from Nanyang Technological University. His main research area is database and data mining. He is currently interested in graph data management, big data analysis, especially social network analysis, and efficient algorithms with indexing and approximation.
Award
2022 Tencent Rhino-Bird Elite Talent Program Outstanding Mentor Award.
Selected Publications
Fangyuan Zhang, Dechuang Chen, Sibo Wang, Yin Yang, Junhao Gan.Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks.Proceedings of the ACM on Management of Data (SIGMOD), to appear, 2024.
Xingguang Chen, Fangyuan Zhang, Jinchao Huang, Sibo Wang. Efficient Approximation Framework for Attribute Recommendation. Proceedings of the ACM on Management of Data (SIGMOD), to appear, 2024.
Qintian Guo, Chen Feng, Fangyuan Zhang, Sibo Wang. Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach. Proceedings of the ACM on Management of Data (SIGMOD), to appear, 2024.
Fangyuan Zhang, Mengxu Jiang, Sibo Wang. Efficient Dynamic Weighted Set Sampling and Its Extension. Proceedings of the VLDB Endowment (PVLDB), to appear, 2023.
Xingyi Zhang, Shuliang Xu, Wenqing Lin, Sibo Wang. Constrained Social Community Recommendation. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 5586-5596, 2023.
Xinyu Du, Xingyi Zhang, Sibo Wang, Zengfeng Huang. Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs. Proceedings of the ACM on Management of Data (SIGMOD), 1(1): 96:1-96:26, 2023.
Kaixin Liu, Sibo Wang, Yong Zhang, Chunxiao Xing. An Efficient Algorithm for Distance-based Structural Graph Clustering. Proceedings of the ACM on Management of Data (SIGMOD), 1(1): 45:1-45:25, 2023.
Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei. Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme. Proceedings of the ACM on Management of Data (SIGMOD), 1(1): 25:1-25:26, 2023.
Fangyuan Zhang, Sibo Wang. Effective Indexing for Dynamic Structural Graph Clustering. Proceedings of the VLDB Endowment (PVLDB), 15(11): 2908-2920, 2022.
Xingguang Chen, Fangyuan Zhang, Sibo Wang. Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 157-167, 2022.
Yanping Zheng, Hanzhi Wang, Zhewei Wei, Jiajun Liu, Sibo Wang. Instant Graph Neural Networks for Dynamic Graphs. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 2605-2615, 2022.
Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang. Influence Maximization Revisited: Efficient Sampling with Bound Tightened. ACM Transactions on Database Systems (TODS), 47(3): 12:1-12:45, 2022.
Xin Chen, You Peng, Sibo Wang, Jeffrey Xu Yu. DLCR: Efficient Indexing for Label-Constrained Reachability Queries on Large Dynamic Graphs. Proceedings of the VLDB Endowment (PVLDB), 15(8): 1645-1657, 2022.
Xingyi Zhang, Kun Xie, Sibo Wang, Zengfeng Huang. Learning Based Proximity Matrix Factorization for Node Embedding. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 2243-2253, 2021.
Hanzhi Wang, Mingguo He, Zhewei Wei, Sibo Wang, Ye Yuan, Xiaoyong Du, Ji-Rong Wen. Approximate Graph Propagation. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 1686-1696, 2021.
Xingguang Chen, Sibo Wang. Efficient Approximate Algorithms for Empirical Entropy and Mutual Information. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 274-286, 2021.
Guanhao Hou, Xingguang Chen, Sibo Wang, Zhewei Wei Massively Parallel Algorithms for Personalized PageRank. Proceedings of the VLDB Endowment (PVLDB), 14(9): 1668-1680, 2021.
Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang. Personalized PageRank to a Targeted Node, Revisited. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pages 657-667, 2020.
Song Bian, Qintian Guo, Sibo Wang, Jeffrey Xu Yu. Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks. Proceedings of the VLDB Endowment (PVLDB), 13(9): 1498-1510, 2020.
Qintian Guo, Sibo Wang, Zhewei Wei, Ming Chen. Influence Maximization Revisited: Efficient Reverse Reachable Set Generation with Bound Tightened. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 2167-2181, 2020.
Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang. Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries. ACM Transactions on Database Systems (TODS), 44(4): 18:1-18:37, 2019.
Runhui Wang, Sibo Wang, Xiaofang Zhou. Parallelizing Approximate Single-Source Personalized PageRank Queries on Shared-Memory. International Journal on Very Large Data Bases (VLDBJ), 28(6):923-940, 2019.
Zhewei Wei, Xiaodong He, Xiaokui Xiao, Sibo Wang, Yu Liu, Xiaoyong Du, and Ji-Rong Wen. PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs. Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 1042-1059, 2019.