Jing Tang

According to our database, Jing Tang authored at least 34 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

2-hop+ Sampling: Efficient and Effective Influence Estimation.

Yuqing Zhu, Jing Tang, Xueyan Tang, Sibo Wang, Andrew Lim

IEEE Trans. Knowl. Data Eng., 2023

2022

Optimal price profile for influential nodes in online social networks.

Yuqing Zhu, Jing Tang, Xueyan Tang

VLDB J., 2022

Influence Maximization Revisited: Efficient Sampling with Bound Tightened.

Qintian Guo, Sibo Wang, Zhewei Wei, Wenqing Lin, Jing Tang

ACM Trans. Database Syst., 2022

Noisy Interactive Graph Search.

Qianhao Cong, Jing Tang, Kai Han, Yuming Huang, Lei Chen, Yeow Meng Chee

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Distributed Influence Maximization for Large-Scale Online Social Networks.

Jing Tang, Yuqing Zhu, Xueyan Tang, Kai Han

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Cost-Effective Algorithms for Average-Case Interactive Graph Search.

Qianhao Cong, Jing Tang, Yuming Huang, Lei Chen, Yeow Meng Chee

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Analysis of Influence Contribution in Social Advertising.

Yuqing Zhu, Jing Tang, Xueyan Tang, Lei Chen

Proc. VLDB Endow., 2021

Streaming Algorithms for Constrained Submodular Maximization.

Shuang Cui, Kai Han, Jing Tang, He Huang, Xueying Li, Zhiyu Li

Proc. ACM Meas. Anal. Comput. Syst., 2021

Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint.

Jing Tang, Xueyan Tang, Andrew Lim, Kai Han, Chongshou Li, Junsong Yuan

Proc. ACM Meas. Anal. Comput. Syst., 2021

Structure-Aware Label Smoothing for Graph Neural Networks.

Yiwei Wang, Yujun Cai, Yuxuan Liang, Wei Wang, Henghui Ding, Muhao Chen, Jing Tang, Bryan Hooi

CoRR, 2021

The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization.

Kai Han, Shuang Cui, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang

CoRR, 2021

Do the Rich Get Richer? Fairness Analysis for Blockchain Incentives.

Yuming Huang, Jing Tang, Qianhao Cong, Andrew Lim, Jianliang Xu

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Efficient and Effective Algorithms for Revenue Maximization in Social Advertising.

Kai Han, Benwei Wu, Jing Tang, Shuang Cui, Çigdem Aslay, Laks V. S. Lakshmanan

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.

Yining Ma, Jingwen Li, Zhiguang Cao, Wen Song, Le Zhang, Zhenghua Chen, Jing Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits.

Tianyuan Jin, Jing Tang, Pan Xu, Keke Huang, Xiaokui Xiao, Quanquan Gu

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Streaming Algorithms for Multi-Armed Bandits.

Tianyuan Jin, Keke Huang, Jing Tang, Xiaokui Xiao

Proceedings of the 38th International Conference on Machine Learning, 2021

Randomized Algorithms for Submodular Function Maximization with a k-System Constraint.

Shuang Cui, Kai Han, Tianshuai Zhu, Jing Tang, Benwei Wu, He Huang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Efficient approximation algorithms for adaptive influence maximization.

Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim

VLDB J., 2020

Pricing Influential Nodes in Online Social Networks.

Yuqing Zhu, Jing Tang, Xueyan Tang

Proc. VLDB Endow., 2020

Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene.

Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, Raymond Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Efficient Approximation Algorithms for Adaptive Target Profit Maximization.

Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound.

Jun Zhao, Jing Tang, Zengxiang Li, Huaxiong Wang, Kwok-Yan Lam, Kaiping Xue

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019

Efficient and Effective Algorithms for Clustering Uncertain Graphs.

Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang

Proc. VLDB Endow., 2019

Regulating Monopolistic ISPs Without Neutrality.

Jing Tang, Richard T. B. Ma

IEEE J. Sel. Areas Commun., 2019

Efficient Approximation Algorithms for Adaptive Seed Minimization.

Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

Traffic-Optimized Data Placement for Social Media.

Jing Tang, Xueyan Tang, Junsong Yuan

IEEE Trans. Multim., 2018

Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis.

Jing Tang, Xueyan Tang, Junsong Yuan

IEEE Trans. Knowl. Data Eng., 2018

An efficient and effective hop-based approach for influence maximization in social networks.

Jing Tang, Xueyan Tang, Junsong Yuan

Soc. Netw. Anal. Min., 2018

Efficient Algorithms for Adaptive Influence Maximization.

Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang

Proc. VLDB Endow., 2018

Online Processing Algorithms for Influence Maximization.

Jing Tang, Xueyan Tang, Xiaokui Xiao, Junsong Yuan

Proceedings of the 2018 International Conference on Management of Data, 2018

Towards Profit Maximization for Online Social Network Providers.

Jing Tang, Xueyan Tang, Junsong Yuan

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017

Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach.

Jing Tang, Xueyan Tang, Junsong Yuan

Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016

Profit maximization for viral marketing in Online Social Networks.

Jing Tang, Xueyan Tang, Junsong Yuan

Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

2015

Optimizing Inter-server Communication for Online Social Networks.

Jing Tang, Xueyan Tang, Junsong Yuan

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015