Jing Tang
Orcid: 0000-0002-0785-707XAffiliations:
- The Hong Kong University of Science and Technology (Guangzhou)
- The Hong Kong University of Science and Technology
- National University of Singapore, Singapore (former)
- Nanyang Technological University, School of Computer Science and Engineering, Singapore (PhD 2017)
According to our database1,
Jing Tang
authored at least 46 papers
between 2015 and 2023.
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Bibliography
2023
IEEE Trans. Knowl. Data Eng., 2023
Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ACM Trans. Database Syst., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
Proc. ACM Meas. Anal. Comput. Syst., 2021
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint.
Proc. ACM Meas. Anal. Comput. Syst., 2021
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization.
CoRR, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Randomized Algorithms for Submodular Function Maximization with a k-System Constraint.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
VLDB J., 2020
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
2019
Proc. VLDB Endow., 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
2018
Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis.
IEEE Trans. Knowl. Data Eng., 2018
An efficient and effective hop-based approach for influence maximization in social networks.
Soc. Netw. Anal. Min., 2018
Proceedings of the 2018 International Conference on Management of Data, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2016
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016
2015
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015