PhD in Computer Science
Nanyang Technological University, 2018
Assistant Professor
Thrust of Data Science and Analytics
Academy of Interdisciplinary Studies
Affiliate Assistant Professor
Dept of Computer Science & Engineering
Scopus: 56236076700
ResearcherID: GGE-9893-2022
Google Scholar: 0S4cpyoAAAAJ
ORCID: 0000-0002-0785-707X
Big Data Management and Analytics
Social Network and Graph Analysis
Machine Learning
Blockchains
Jing Tang, Xueyan Tang, Xiaokui Xiao, and Junsong Yuan. 2018. Online processing algorithms for influence maximization. Proceedings of the 2018 International Conference on Management of Data (SIGMOD ’18). 991-1005.
Jing Tang, Xueyan Tang, and Junsong Yuan. 2017. Profit maximization for viral marketing in online social networks: Algorithms and. analysis. IEEE Transactions on Knowledge and Data Engineering. 30(6), 1095-1108.
Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, and Xueyan Tang. 2018. Efficient algorithms for adaptive influence maximization. Proceedings of the VLDB Endowment. 11(9), 1029-1040.
Jing Tang, Xueyan Tang, and Junsong Yuan. 2017. Influence maximization meets efficiency and effectiveness: A hop-based approach. Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. 64-71.
Jing Tang, Xueyan Tang, and Junsong Yuan. 2016. Profit maximization for viral marketing in online social networks. 2016 IEEE 24th International Conference on Network Protocols (ICNP). IEEE. 1-10.
Jing Tang, Xueyan Tang, and Junsong Yuan. 2018. An efficient and effective hop-based approach for influence maximization in social networks. Social Network Analysis and Mining. 8, 1-19.
Jing Tang, Xueyan Tang, and Junsong Yuan. 2018. Towards profit maximization for online social network providers. IEEE INFOCOM 2018-IEEE Conference on Computer Communications. IEEE. 1178-1186.
Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, and Andrew Lim. 2020. Efficient approximation algorithms for adaptive influence maximization. The VLDB Journal. 29, 1385-1406.
Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, and Jing Tang. 2021. Learning to iteratively solve routing problems with dual-aspect collaborative transformer. Advances in Neural Information Processing Systems. 34, 11096-11107.
Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, and He Huang. 2019. Efficient and effective algorithms for clustering uncertain graphs. Proceedings of the VLDB Endowment. 12(6), 667-680.
Jing Tang, Keke Huang, Xiaokui Xiao, Laks V.S. Lakshmanan, Xueyan Tang, Aixin Sun, and Andrew Lim. 2019. Efficient approximation algorithms for adaptive seed minimization. Proceedings of the 2019 International Conference on Management of Data. 1096-1113.
Jing Tang, Xueyan Tang, and Junsong Yuan. 2015. Optimizing inter-server communication for online social networks. 2015 IEEE 35th International Conference on Distributed Computing Systems. IEEE. 215-224.
Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, and Raymond Huang. 2020. Campus3d: A photogrammetry point cloud benchmark for hierarchical understanding of outdoor scene. Proceedings of the 28th ACM International Conference on Multimedia. 238-246.
Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang Wang, Kwok-Yan Lam, and Kaiping Xue. 2020. An analysis of blockchain consistency in asynchronous networks: Deriving a neat bound. 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS). IEEE. 179-189.
Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, and Andrew Lim. 2020. Efficient approximation algorithms for adaptive target profit maximization. 2020 IEEE 36th International Conference on Data Engineering (ICDE). IEEE. 649-660.