Zehong Hu
Orcid: 0000-0001-9498-161X
According to our database1,
Zehong Hu
authored at least 25 papers
between 2016 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
2022
Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems.
ACM Trans. Knowl. Discov. Data, 2022
2021
A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce.
Neurocomputing, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors.
Proceedings of the Database Systems for Advanced Applications, 2020
2019
Which Channel to Ask My Question? Personalized Customer Service RequestStream Routing using DeepReinforcement Learning.
CoRR, 2019
Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning.
IEEE Access, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Toward General Robustness Evaluation of Incentive Mechanism Against Bounded Rationality.
IEEE Trans. Comput. Soc. Syst., 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.
CoRR, 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 20th International Trust Workshop co-located with AAMAS/IJCAI/ECAI/ICML 2018, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
2016
A Novel Approach to Evaluate Robustness of Incentive Mechanism Against Bounded Rationality: (Doctoral Consortium).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016