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A Novel Strategy for Active Task Assignment in Crowd Labeling., и . IJCAI, стр. 1538-1545. ijcai.org, (2018)Learning-based mechanism design for microtask crowdsourcing. Nanyang Technological University, Singapore, (2018)Revisiting Public Reputation Calculation in a Personalized Trust Model., , и . TRUST@AAMAS, том 2154 из CEUR Workshop Proceedings, стр. 13-24. CEUR-WS.org, (2018)Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors., , , , , , , и . DASFAA (1), том 12112 из Lecture Notes in Computer Science, стр. 663-670. Springer, (2020)Noah: Reinforcement-Learning-Based Rate Limiter for Microservices in Large-Scale E-Commerce Services., , , , , , , , , и 2 other автор(ы). IEEE Trans. Neural Networks Learn. Syst., 34 (9): 5403-5417 (сентября 2023)Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing., , , , и . NeurIPS, стр. 5512-5522. (2018)A Novel Approach to Evaluate Robustness of Incentive Mechanism Against Bounded Rationality: (Doctoral Consortium).. AAMAS, стр. 1522-1523. ACM, (2016)Optimal Posted-Price Mechanism in Microtask Crowdsourcing., и . IJCAI, стр. 228-234. ijcai.org, (2017)Fraud Regulating Policy for E-Commerce via Constrained Contextual Bandits., , , , , и . AAMAS, стр. 1377-1385. International Foundation for Autonomous Agents and Multiagent Systems, (2019)Automatic Construction of Agent-based Simulation Using Business Process Diagrams and Ontology-based Models., , , , , , и . AAMAS, стр. 1793-1795. ACM, (2017)