Publications (11)
Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks
Yuzhi Zhou, Yaru Fu, Zheng Shi +3
The digital twin edge network (DITEN) is a significant paradigm in the sixth-generation wireless system (6G) that aims to organize well-developed infrastructures to meet the requir…
Study of Brain Connectivity by Multichannel EEG Quaternion Principal Component Analysis for Alzheimer Disease Classification
Kevin Hung, Gary Man-Tat Man, Jincheng Wang
The early detection of Alzheimer's disease (AD) through widespread screening has emerged as a primary strategy to mitigate the significant global impact of AD. EEG measurements off…
POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network
Danli Wu, Yu Cheng, Dehan Luo +3
Predicting odor's pleasantness simplifies the evaluation of odors and has the potential to be applied in perfumes and environmental monitoring industry. Classical algorithms for pr…
Sky-Ear: An Unmanned Aerial Vehicle-Enabled Victim Sound Detection and Localization System
Yi Hong, Mingyang Wang, Yalin Liu +3
The paper presents Sky-Ear, a UAV-mounted system that uses a circular microphone array and a two-stage audio processing pipeline to detect and locate victim sounds efficiently duri…
Sustainable Placement with Cost Minimization in Wireless Digital Twin Networks
Yuzhi Zhou, Yaru Fu, Zheng Shi +3
Digital twin (DT) technology has a high potential to satisfy different requirements of the ever-expanding new applications. Nonetheless, the DT placement in wireless digital twin n…
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
Townim Faisal Chowdhury, Kewen Liao, Vu Minh Hieu Phan +7
Deep Neural Networks (DNNs) are widely used for visual classification tasks, but their complex computation process and black-box nature hinder decision transparency and interpretab…
Multi-Waveguide Pinching Antenna Placement Optimization for Rate Maximization
Yue Zhang, Yaru Fu, Pei Liu +2
Pinching antenna systems (PASS) have emerged as a technology that enables the large-scale movement of antenna elements, offering significant potential for performance gains in next…
BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease
Tong Zhou, Chen Ding, Changhong Jing +8
The relationship between brain structure and function is critical for revealing the pathogenesis of brain disorders, including Alzheimer's disease (AD). However, mapping brain stru…
Deep Nearest Class Mean Model for Incremental Odor Classification
Yu Cheng, Angus Wong, Kevin Hung +3
In recent years, more machine learning algorithms have been applied to odor classification. These odor classification algorithms usually assume that the training datasets are stati…
Content-Aware RSMA-Enabled Pinching-Antenna Systems for Latency Optimization in 6G Networks
Yu Hua, Yaru Fu, Yalin Liu +2
The Pinching Antenna System (PAS) has emerged as a promising technology to dynamically reconfigure wireless propagation environments in 6G networks. By activating radiating element…
WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex
Ho Chun Wu, Esther Hoi Shan Lau, Paul Yuen +3
Pedestrian trajectory modelling in an urban complex is challenging because pedestrians can have many possible destinations, such as shops, escalators, and attractions. Moreover, we…