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Shouyin Liu

As seen in: International Journal of Electronic Business
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Articles

[2602.13557] Scenario-Adaptive MU-MIMO OFDM Semantic Communication With Asymmetric Neural Network

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By Shouyin Liu, Tianqian Zhang
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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linking academia, business and industry through research

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By Jiping Li, Tong Yu, Yunyun Wu, Xia Kong, Shouyin Liu
| International Journal of Electronic Business Verified
Home Full-text access for editors An enhanced anonymous authentication protocol for wireless sensor networks by Jiping Li; Tong Yu; Yunyun Wu; Xia Kong; Shouyin Liu International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 35, No. 3, 2020 Abstract: Nowadays, wireless sensor networks (WSNs) have played important roles in a variety of areas. However, the nature of wireless communications and restricted resources make it more likely to suffer from various kinds of attacks.
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Inferring and analysis of social networks using RFID check-in data in China

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By Tao Liu, Lintao Yang, Shouyin Liu, Shuangkui Ge
| PLOS
Social networks play an important role in our daily lives. However, social ties are rather elusive to quantify, especially for large groups of subjects over prolonged periods of time. In this work, we first propose a methodology for extracting social ties from long spatio-temporal data streams, where the subjects are 17,795 undergraduates from a university of China and the data streams are the 9,147,106 time-stamped RFID check-in records left behind by them during one academic year.
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