Browsing by Author "Li, Bin"

Browsing by Author "Li, Bin"

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  • Adversarial reconfigurable intelligent surface against physical layer key generation 
    Wei, Zhuangkun; Li, Bin; Guo, Weisi (IEEE, 2023-04-12)
    The development of reconfigurable intelligent surfaces (RIS) has recently advanced the research of physical layer security (PLS). Beneficial impacts of RIS include but are not limited to offering a new degree-of-freedom ...
  • Graph layer security: encrypting information via common networked physics 
    Wei, Zhuangkun; Wang, Liang; Sun, Schyler Chengyao; Li, Bin; Guo, Weisi (MDPI, 2022-05-23)
    The proliferation of low-cost Internet of Things (IoT) devices has led to a race between wireless security and channel attacks. Traditional cryptography requires high computational power and is not suitable for low-power ...
  • Hamming–Luby rateless codes for molecular erasure channels 
    Wei, Zhuangkun; Li, Bin; Hu, Wenxiu; Guo, Weisi; Zhao, Chenglin (Elsevier, 2019-11-27)
    Nano-scale molecular communications encode digital information into discrete macro-molecules. In many nano-scale systems, due to limited molecular energy, each information symbol is encoded into a small number of molecules. ...
  • High-dimensional metric combining for non-coherent molecular signal detection 
    Wei, Zhuangkun; Guo, Weisi; Li, Bin; Charmet, Jérôme; Zhao, Chenglin (IEEE, 2019-12-13)
    In emerging Internet-of-Nano-Thing (IoNT), information will be embedded and conveyed in the form of molecules through complex and diffusive medias. One main challenge lies in the long-tail nature of the channel response ...
  • Machine learning-enabled globally guaranteed evolutionary computation 
    Li, Bin; Wei, Ziping; Wu, Jingjing; Yu, Shuai; Zhang, Tian; Zhu, Chunli; Zheng, Dezhi; Guo, Weisi; Zhao, Chenglin; Zhang, Jun (Nature Publishing Group, 2023-04-10)
    Evolutionary computation, for example, particle swarm optimization, has impressive achievements in solving complex problems in science and industry; however, an important open problem in evolutionary computation is that ...
  • Monitoring embedded flow networks using graph Fourier transform enabled sparse molecular relays 
    Wei, Zhuangkun; Pagani, Alessio; Li, Bin; Guo, Weisi (IEEE, 2020-03-06)
    Many embedded networks are difficult to monitor, such as water distribution networks (WDNs). A key challenge is how to use minimum sparse sensors to measure contamination and transmit contamination data to a hub for system ...
  • A multi-eavesdropper scheme against RIS secured LoS-dominated channel 
    Wei, Zhuangkun; Guo, Weisi; Li, Bin (IEEE, 2022-04-11)
    Reconfigurable intelligent surface (RIS) has been shown as a promising technique to increase the channel randomness for secret key generation (SKG) in low-entropy channels (e.g., static or line-of-sight (LoS)), without ...
  • Physical-layer counterattack strategies for the internet of bio-nano things with molecular communication 
    Huang, Yu; Wen, Miaowen; Lin, Lin; Li, Bin; Wei, Zhuangkun; Tang, Dong; Li, Jun; Duan, Wei; Guo, Weisi (IEEE, 2023-06-06)
    Molecular communication (MC) is an emerging new communication paradigm where information is conveyed by chemical signals. It has been recognized as one of the most promising physical layer techniques for the future Internet ...
  • Random sketch learning for deep neural networks in edge computing 
    Li, Bin; Chen, Peijun; Liu, Hongfu; Guo, Weisi; Cao, Xianbin; Du, Junzhao; Zhao, Chenglin; Zhang, Jun (Springer Nature, 2021-03-25)
    Despite the great potential of deep neural networks (DNNs), they require massive weights and huge computational resources, creating a vast gap when deploying artificial intelligence at low-cost edge devices. Current ...
  • Review of physical layer security in molecular internet of nano-things 
    Qiu, Song; Wei, Zhuangkun; Huang, Yu; Abbaszadeh, Mahmoud; Charmet, Jerome; Li, Bin; Guo, Weisi (IEEE, 2023-06-14)
    Molecular networking has been identified as a key enabling technology for Internet-of-Nano-Things (IoNT): microscopic devices that can monitor, process information, and take action in a wide range of medical applications. ...
  • Sampling and inference of networked dynamics using Log-Koopman nonlinear graph fourier transform 
    Wei, Zhuangkun; Li, Bin; Sun, Chengyao; Guo, Weisi (IEEE, 2020-10-21)
    Monitoring the networked dynamics via the subset of nodes is essential for a variety of scientific and operational purposes. When there is a lack of an explicit model and networked signal space, traditional observability ...