Zehong Hu

Orcid: 0000-0001-9498-161X

According to our database1, Zehong Hu authored at least 25 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
A Thompson Sampling Algorithm With Logarithmic Regret for Unimodal Gaussian Bandit.
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

FairRec: Fairness Testing for Deep Recommender Systems.
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

Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation.
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

Artificial Intelligence for Prosthetics - challenge solutions.
CoRR, 2019

Which Channel to Ask My Question?: Personalized Customer Service Request Stream Routing Using Deep Reinforcement Learning.
IEEE Access, 2019

CRSRL: Customer Routing System Using Reinforcement Learning.
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

Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits.
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
Learning-based mechanism design for microtask crowdsourcing
PhD thesis, 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

A Novel Strategy for Active Task Assignment in Crowd Labeling.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Revisiting Public Reputation Calculation in a Personalized Trust Model.
Proceedings of the 20th International Trust Workshop co-located with AAMAS/IJCAI/ECAI/ICML 2018, 2018

2017
Optimal Posted-Price Mechanism in Microtask Crowdsourcing.
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

Efficient Computation of Emergent Equilibrium in Agent-Based Simulation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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