Shaowen Xiong

Generalizable Physics-Informed BLER Digital Twinning Under Incomplete Data

Shaowen Xiong, Y J Huang, Shiwen He, Guanghui Chen et autres

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Generative AI-Empowered User-Specific Channel Digital Twin for Efficient Wireless Optimization

Shaowen Xiong, Shiwen He, Guanghui Chen, Zhenyu Tao et autres

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Cutaneous Talaromyces marneffei Infection in an Immunocompetent Adolescent: A Case Report

Yue Chen, Xiaodong Li, Chao Bi, Yan Ling Yang et autres

(TM) infection is a rare but potentially fatal deep fungal disease that typically affects immunocompromised individuals in endemic regions. However, an increasing number of cases have been reported in HIV-negative, immunocompetent patients without classical risk factors. We report the case of a …

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Enhancing Radio Resource Management in RAN Slicing by Diffusion Model and Digital Twin

Shaowen Xiong, Yongming Huang, Shiwen He, Cheng Zhang

Network slicing is essential for the sixth-generation mobile networks. Minimizing radio resources while guaranteeing service level agreement (SLA) remains challenging due to random traffic patterns and channel conditions, making policy security enforcement and underlying traffic distribution inference critical research goals. In this …

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Evolutionary invasion model of the viral virulence in a symptom-dependent SIS community

Fengying Wei, Shaowen Xiong, Zhen Jin, Jianfeng Xie

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High-Generalization Real-Time Beamforming Design for Dynamic Wireless Environments in Cell-Free Systems

Guanghui Chen, Zheng Wang, Qingxia Feng, Shaowen Xiong et autres

In this paper, we consider real-time beamforming design for dynamic wireless environments with different channel state information (CSI) distributions in cell-free systems. Specifically, a sum-rate maximization optimization problem for different CSI distributions is built to model the beamforming design of dynamic wireless …

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Diffusion Model and Digital Twin Enhanced Deep Reinforcement Learning for Radio Resource Management in RAN Slicing

Shaowen Xiong, Shiwen He, Guanghui Chen, Cheng Zhang et autres

Network slicing is a key enabler for 6G mobile networks. Guaranteeing the service level agreement with the smallest amount of radio resources is a challenging problem in network slicing scenarios due to random traffic patterns and the channel environment. To this end, …

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Daily activities change is linked to acute angle closure occurrence in COVID-19 co-infected patients

Xiaojie Wang, Aijun Tian, Shaodan Zhang, Bo Qu et autres

OBJECTIVES: To analyze the influence of daily activity-related factors associated with COVID-19 infection on the occurrence of acute angle closure (AAC). METHODS: A multicenter hospital-based study was conducted at 23 ophthalmic centers in 17 provincial-level regions across China to recruit patients with …

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Estimation methods of reproduction numbers for epidemics of varying strains of COVID-19

Shaowen Xiong, Shaojian Cai, Fengying Wei, Guangmin Chen et autres

The estimation methods of reproduction numbers and serial intervals are important in the early stages of infectious diseases. During the COVID pandemic, China implemented a dynamic zero-COVID policy on the Chinese mainland until the end of 2022. This study compares three estimation …

Behavioral change is linked to Acute Angle Closure occurrence in COVID-19 Co- infected Patients

Xiaojie Wang, Aijun Tian, Shaodan Zhang, Bo Qu et autres

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The effects of environmental factors on the stability of smart electricity meters

Shaowen Xiong, J. Zhang, Biwei Zhang, Yuzhe Yang

Smart electrical meter stability was impacted by surrounding conditions, the degradation behaviors of smart electricity meters with calendar time were investigated using the field operation data. The influences of electrical parameters including power coefficient and basic current, were analyzed in terms of …

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An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks

Shiwen He, Shaowen Xiong, Zhenyu An, Wei Zhang et autres

In wireless networks, the optimization problems generally have complex constraints and are usually solved via utilizing the traditional optimization methods that have high computational complexity and need to be executed repeatedly with the change of network environments. In this paper, to overcome …

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