Výsledky vyhledávání - "Zhao, Ze‐Yu"

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Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection

Autor: Zhao, Ze Yu, Zhu, Zheng, Li, Guilin, Wang, Wenhan, Wang, Bo

In this work, we introduce an innovative autoregressive model leveraging Generative Pretrained Transformer (GPT) architectures, tailored for fraud detection in payment systems. Our approach innovatively confronts token explosion and reconstructs beha

Externí odkaz: http://arxiv.org/abs/2312.14406

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On Designing Multi-UAV aided Wireless Powered Dynamic Communication via Hierarchical Deep Reinforcement Learning

Autor: Zhao, Ze Yu, Che, Yue Ling, Luo, Sheng, Luo, Gege, Wu, Kaishun, Leung, Victor C. M.

This paper proposes a novel design on the wireless powered communication network (WPCN) in dynamic environments under the assistance of multiple unmanned aerial vehicles (UAVs). Unlike the existing studies, where the low-power wireless nodes (WNs) of

Externí odkaz: http://arxiv.org/abs/2312.07917

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Multi-Agent Graph Reinforcement Learning based On-Demand Wireless Energy Transfer in Multi-UAV-aided IoT Network

Autor: Zhao, Ze Yu, Che, Yueling, Luo, Sheng, Wu, Kaishun, Leung, Victor C. M.

This paper proposes a new on-demand wireless energy transfer (WET) scheme of multiple unmanned aerial vehicles (UAVs). Unlike the existing studies that simply pursuing the total or the minimum harvested energy maximization at the Internet of Things (

Externí odkaz: http://arxiv.org/abs/2307.14626

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