109 citations · 193 across the 13 of their papers we have counts for
13 papers
Multi-Sources Fusion Learning for Multi-Points NLOS Localization in OFDM System
Bohao Wang, Zitao Shuai, Chongwen Huang +7
Accurate localization of mobile terminals is a pivotal aspect of integrated sensing and communication systems. Traditional fingerprint-based localization methods, which infer coord…
Robust Continuous-Time Beam Tracking with Liquid Neural Network
Fenghao Zhu, Xinquan Wang, Chongwen Huang +6
Millimeter-wave (mmWave) technology is increasingly recognized as a pivotal technology of the sixth-generation communication networks due to the large amounts of available spectrum…
Robust Beamforming for RIS-aided Communications: Gradient-based Manifold Meta Learning
Fenghao Zhu, Xinquan Wang, Chongwen Huang +6
Reconfigurable intelligent surface (RIS) has become a promising technology to realize the programmable wireless environment via steering the incident signal in fully customizable w…
Hashing Beam Training for Integrated Ground-Air-Space Wireless Networks
Yuan Xu, Chongwen Huang, Wei Li +6
In integrated ground-air-space (IGAS) wireless networks, numerous services require sensing knowledge including location, angle, distance information, etc., which usually can be acq…
Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal Classification
Zhibo Zhang, Pengfei Li, Ahmed Y. Al Hammadi +3
This paper presents a reputation-based threat mitigation framework that defends potential security threats in electroencephalogram (EEG) signal classification during model aggregat…
On the Sum Secrecy Rate of Multi-User Holographic MIMO Networks
Arthur S. de Sena, Jiguang He, Ahmed Al Hammadi +4
The emerging concept of extremely-large holographic multiple-input multiple-output (HMIMO), beneficial from compactly and densely packed cost-efficient radiating meta-atoms, has be…
IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Xiaochen Ma, Bo Du, Zhuohang Jiang +3
Advanced image tampering techniques are increasingly challenging the trustworthiness of multimedia, leading to the development of Image Manipulation Localization (IML). But what ma…
Data Poisoning Attacks on EEG Signal-based Risk Assessment Systems
Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi +3
Industrial insider risk assessment using electroencephalogram (EEG) signals has consistently attracted a lot of research attention. However, EEG signal-based risk assessment system…
Explainable Label-flipping Attacks on Human Emotion Assessment System
Zhibo Zhang, Ahmed Y. Al Hammadi, Ernesto Damiani +1
This paper's main goal is to provide an attacker's point of view on data poisoning assaults that use label-flipping during the training phase of systems that use electroencephalogr…
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG Signals
Zhibo Zhang, Sani Umar, Ahmed Y. Al Hammadi +5
The major aim of this paper is to explain the data poisoning attacks using label-flipping during the training stage of the electroencephalogram (EEG) signal-based human emotion eva…
Non-Orthogonal Multiple Access for Hybrid VLC-RF Networks with Imperfect Channel State Information
Ahmed Al Hammadi, Sami Muhaidat, Paschalis C. Sofotasios +2
The present contribution proposes a general framework for the energy efficiency analysis of a hybrid visible light communication (VLC) and Radio Frequency (RF) wireless system, in…
Performance Analysis of Energy Detection over Mixture Gamma based Fading Channels with Diversity Reception
Omar Alhussein, Ahmed Al Hammadi, Paschalis C. Sofotasios +4
The present paper is devoted to the evaluation of energy detection based spectrum sensing over different multipath fading and shadowing conditions. This is realized by means of a u…
Unified Analysis of Cooperative Spectrum Sensing over Composite and Generalized Fading Channels
Ahmed Al Hammadi, Omar Alhussein, Sami Muhaidat +3
In this paper, we investigate the performance of cooperative spectrum sensing (CSS) with multiple antenna nodes over composite and generalized fading channels. We model the probabi…