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Tie Jun

As seen in: arXiv, MDPI
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Articles by Tie Jun

Technology Roadmap of Bioinspired Computing Hardware

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By van de Burgt, Tie Jun, Kah Wee
| aalto.fi
A2 Katsausartikkeli tieteellisessä aikakauslehdessä ACS Nano, Volume 20, issue 10, pp.
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[2506.12368] Stacked Intelligent Metasurfaces for Multi-Modal Semantic Communications

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By Tie Jun, Jiancheng An, Lu Gan, Dusit Niyato
| arXiv
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[2505.03266] Rapid diagnostics of reconfigurable intelligent surfaces using space-time-coding modulation

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By Yi Ning, Xiao Qing, Tie Jun, Lei 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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Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications

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By Tie Jun, Zhi Ning
| arXiv
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PointEMRay: A Novel Efficient SBR Framework on Point Based Geometry

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By Tie Jun
| arXiv
The Accessibility Forum starts next week! Sign up and join us in September.
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Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges

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By Tie Jun, Jiancheng An, Xing Jia, Lu Gan
| arXiv
[Submitted on 4 Jul 2024 ( v1 ), last revised 2 May 2025 (this version, v2)] Title:Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges View a PDF of the paper titled Stacked Intelligent Metasurfaces for Wireless Communications: Applications and Challenges, by Hao Liu and 8 other authors View PDF HTML (experimental) Abstract:The rapid growth of wireless communications has created a significant demand for high throughput, seamless connectivity, and...
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Electromagnetic Information Theory: Fundamentals and Applications for 6G Wireless Communication Systems

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By Tie Jun
| arXiv
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Wi-fi and radar fusion for head movement sensing through walls leveraging deep learning

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By Tie Jun, Muhammad Ali
| gla.ac.uk
Hameed, H., Tahir, A., Usman, M., Zhu, J., Lubna, , Abbas, H. , Ramzan, N., Cui, T. J., Imran, M. A. and Abbasi, Q. (2023) Wi-fi and radar fusion for head movement sensing through walls leveraging deep learning.
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Two-dimensional terahertz beam manipulations based on liquid-crystal-assisted programmable metasurface

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By Tie Jun
| American Institute of Physics
Citation Yuan FuXiaojian FuSilei YangShuang PengPeng WangYujie LiuJun YangJingbo WuTie Jun Cui; Two-dimensional terahertz beam manipulations based on liquid-crystal-assisted programmable metasurface. Appl. Phys. Lett. 11 September 2023; 123 (11): 111703. https://doi.org/10.1063/5.0167812 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex
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[2305.07835] Multi-Scenario Broadband Channel Measurement and Modeling for Sub-6 GHz RIS-Assisted Wireless Communication Systems

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By Tie Jun
| arXiv
arXiv:2305.07835 (cs) Download a PDF of the paper titled Multi-Scenario Broadband Channel Measurement and Modeling for Sub-6 GHz RIS-Assisted Wireless Communication Systems, by Jian Sang and 10 other authors Download PDF Submission history From: Jian Sang [ view email] [v1] Sat, 13 May 2023 04:31:27 UTC (15,468 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart...
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Grating-like Terahertz Metasurface for Large-Deflection-Angle Beam Manipulations

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By Yuan Fu, Tie Jun Cui, Tie Jun, Xiaojian Fu
| MDPI
Due to planned maintenance work on our platforms, there might be short service disruptions on Saturday, December 3rd, between 15:00 and 16:00 (CET). Submit to this Journal Review for this Journal Edit a Special Issue Article Menu /ajax/scifeed/subscribe Altmetric share Share announcement Help format_quote Cite thumb_up ... Endorse textsms ... Comment Need Help? Support Find support for a specific problem in the support section of our website.
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Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation

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By Jing Cheng, Jun Yan, Tie Jun
| 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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Spoof Plasmon Hybridization

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By Tie Jun
| cds.cern.ch
Plasmon hybridization between closely spaced nanoparticles yields new hybrid modes not found in individual constituents, allowing for the engineering of resonance properties and field enhancement capabilities of metallic nanostructure. Experimental verifications of plasmon hybridization have been thus far mostly limited to optical frequencies, as metals cannot support surface plasmons at longer wavelengths.
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