no code implementations • 6 Feb 2024 • Zhuangkun Wei, Wenxiu Hu, Weisi Guo
Whilst a legitimate RIS can yield beneficial impacts including increased channel randomness to enhance physical layer secret key generation (PL-SKG), malicious RIS can poison legitimate channels and crack most of existing PL-SKGs.
no code implementations • 24 Feb 2023 • Liang Wang, Zhuangkun Wei, Weisi Guo
This paper presents a Federated multi-agent Deep reinforcement learning-assisted Distributed Key generation scheme (FD2K), which fully exploits the common features of physical dynamics to establish secret key between legitimate users.
no code implementations • 22 Jun 2022 • Zhuangkun Wei, Bin Li, Weisi Guo
The development of reconfigurable intelligent surfaces (RIS) has recently advanced the research of physical layer security (PLS).
no code implementations • 9 Mar 2022 • Schyler C. Sun, Bailu Jin, Zhuangkun Wei, Weisi Guo
The causal mechanism between climate and political violence is fraught with complex mechanisms.
no code implementations • 18 Aug 2021 • Chen Li, Schyler C. Sun, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo
We believe that this approach of exploiting general data distribution knowledge form neural networks can be applied to a wide range of scarce data open challenges.
no code implementations • 10 Jun 2020 • Schyler C. Sun, Chen Li, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo
In this paper, we achieve partially explainable learning model by symbolically explaining the role of activation functions (AF) under a scalable topology.
no code implementations • 5 Jun 2020 • Zhuangkun Wei, Liang Wang, Schyler Chengyao Sun, Bin Li, Weisi Guo
Leveraging this, we propose for the first time, graph layer security (GLS), by exploiting the dependency in physical dynamics among network nodes for information encryption and decryption.
no code implementations • 11 Feb 2020 • Alessio Pagani, Zhuangkun Wei, Ricardo Silva, Weisi Guo
Infrastructure monitoring is critical for safe operations and sustainability.
no code implementations • 31 Jan 2019 • Zhuangkun Wei, Weisi Guo, Bin Li, Jerome Charmet, Chenglin Zhao
If the channel is unknown, we cannot easily achieve traditional coherent channel estimation and cancellation, and the impact of ISI will be more severe.
no code implementations • 31 Jan 2019 • Zhuangkun Wei, Bin Li, Weisi Guo, Wenxiu Hu, Chenglin Zhao
Extracting and detecting spike activities from the fluorescence observations is an important step in understanding how neuron systems work.