All Outputs (11)

Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM (2024)
Presentation / Conference Contribution
Patil, P., Wei, Z., Petrunin, I., & Guo, W. (2024, June). Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM. Presented at 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA

Radio frequency (RF) communication systems are the backbone of many intelligent transport and aerospace operations, ensuring safety, connectivity, and efficiency. Accurate classification of RF transmitters is vital to achieve safe and reliable functi... Read More about Classification of RF Transmitters in the Presence of Multipath Effects Using CNN-LSTM.

Securing IoT Communication Using Physical Sensor Data — Graph Layer Security with Federated Multi-agent Deep Reinforcement Learning (2023)
Presentation / Conference Contribution
Wang, L., Wei, Z., & Guo, W. (2023, July). Securing IoT Communication Using Physical Sensor Data — Graph Layer Security with Federated Multi-agent Deep Reinforcement Learning. Presented at 2023 8th International Conference on Signal and Image Processing (ICSIP), Wuxi, China

Internet-of-Things (IoT) devices are often used to transmit physical sensor data over digital wireless channels. Traditional Physical Layer Security (PLS)-based cryptography approaches rely on accurate channel estimation and information exchange for... Read More about Securing IoT Communication Using Physical Sensor Data — Graph Layer Security with Federated Multi-agent Deep Reinforcement Learning.

Eavesdropping Against Bidirectional Physical Layer Secret Key Generation in Fiber Communications (2022)
Presentation / Conference Contribution
Hu, W., Wei, Z., Leeson, M., & Xu, T. (2022, November). Eavesdropping Against Bidirectional Physical Layer Secret Key Generation in Fiber Communications. Presented at 2022 IEEE Photonics Conference (IPC), Vancouver, BC, Canada

Physical layer secret key exploits the random but reciprocal channel features between legitimate users to encrypt their data against fiber-tapping. We propose a novel tapping-based eavesdropper scheme, leveraging its tapped signals from legitimate us... Read More about Eavesdropping Against Bidirectional Physical Layer Secret Key Generation in Fiber Communications.

Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing (2022)
Presentation / Conference Contribution
Wei, Z., Wang, L., & Guo, W. (2022, September). Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing. Presented at 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), London, United Kingdom

Reconfigurable intelligent surfaces (RIS) have been shown to improve the secret key rate (SKR) for physical layer secret key generation (PL-SKG), by using the programmable phase shifts to increase reciprocal channel entropy. Most current studies cons... Read More about Secret Key Rate Upper-bound for Reconfigurable Intelligent Surface-combined System under Spoofing.

Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process (2022)
Presentation / Conference Contribution
Sun, S. C., Jin, B., Wei, Z., & Guo, W. (2022, July). Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process. Presented at Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}, Vienna, Austria

The causal mechanism between climate and political violence is fraught with complex mechanisms. Current quantitative causal models rely on one or more assumptions: (1) the climate drivers persistently generate conflict, (2) the causal mechanisms have... Read More about Revealing the Excitation Causality between Climate and Political Violence via a Neural Forward-Intensity Poisson Process.

Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract) (2021)
Presentation / Conference Contribution
Sun, S. C., Li, C., Wei, Z., Tsourdos, A., & Guo, W. (2021, February). Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract). Presented at AAAI-21: AAAI Conference on Artificial Intelligence, Online

Current state-of-the-art neural network explanation methods (e.g. Saliency maps, DeepLIFT, LIME, etc.) focus more on the direct relationship between NN outputs and inputs rather than the NN structure and operations itself, hence there still exists un... Read More about Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract).

Secure Internet-of-Nano Things for Targeted Drug Delivery: Distance-based Molecular Cipher Keys (2020)
Presentation / Conference Contribution
Guo, W., Wei, Z., & Li, B. (2020, October). Secure Internet-of-Nano Things for Targeted Drug Delivery: Distance-based Molecular Cipher Keys. Presented at 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME), Amman, Jordan

Nano-machines have the potential to achieve targeted drug delivery, improving efficacy and reducing side-effects and wastage. Coordinating multiple nano-machines require communication capability, and molecular communications (MC) is recognised as a k... Read More about Secure Internet-of-Nano Things for Targeted Drug Delivery: Distance-based Molecular Cipher Keys.

Monitoring Networked Infrastructure with Minimum Data via Sequential Graph Fourier Transforms (2019)
Presentation / Conference Contribution
Wei, Z., Pagani, A., & Guo, W. (2019, October). Monitoring Networked Infrastructure with Minimum Data via Sequential Graph Fourier Transforms. Presented at 2019 IEEE International Smart Cities Conference (ISC2), Casablanca, Morocco

Many urban infrastructures contain complex dynamics embedded in spatial networks. Monitoring using Internet-of-Things (IoT) sensors is essential for ensuring safe operations. An open challenge is given an existing sensor network, where best to collec... Read More about Monitoring Networked Infrastructure with Minimum Data via Sequential Graph Fourier Transforms.

Localization Scheme with MAP Pre-filter in Wireless Sensor Network Combating Intensive Measurement Noise (2018)
Presentation / Conference Contribution
Wei, Z., Zhang, Y., Li, B., & Zhao, C. (2017, July). Localization Scheme with MAP Pre-filter in Wireless Sensor Network Combating Intensive Measurement Noise. Presented at CSPS 2017: Communications, Signal Processing, and Systems, Harbin, China

Increasing advances in building reliable and efficient wireless sensor network (WSN) provide a promising prospect in the applications of monitoring and localization. However, due to the intensive measurement noise, observations from sensors can be se... Read More about Localization Scheme with MAP Pre-filter in Wireless Sensor Network Combating Intensive Measurement Noise.

Viterbi Estimation on the Finite-State Markov Ultra-violet Channels (2017)
Presentation / Conference Contribution
Wei, Z., Hu, W., Zhang, M., Han, D., Li, B., & Zhao, C. (2017, November). Viterbi Estimation on the Finite-State Markov Ultra-violet Channels. Presented at Asia Communications and Photonics Conference 2017, Guangzhou, Guangdong

This article addresses the inter-symbol interference (ISI) of Ultraviolet (UV) communications driven by scattering effect. We model UV channel-state-information (CSI) as Markov finite-state and design Viterbi scheme to estimate informative bits.

Polar Code for Future 60 GHz Millimeter-Wave Communications (2015)
Presentation / Conference Contribution
Wei, Z., Li, B., & Zhao, C. (2014, July). Polar Code for Future 60 GHz Millimeter-Wave Communications. Presented at Third International Conference on Communications, Signal Processing, and Systems, Hohhot, Inner Mongolia

With high operating frequencies and high emission power, 60 GHz millimeter communications may suffer seriously from realistic hardware impairments. Among this, nonlinear power amplifier (PA) will significantly degrade its transmission performance. In... Read More about Polar Code for Future 60 GHz Millimeter-Wave Communications.