6 citations · 6 across the 4 of their papers we have counts for
9 papers
Flexible Intelligent Metasurface-Aided ISAC: User Fairness Optimization and Performance Evaluation
Hailun Huang, Yuwen Cao, Jiguang He +1
This paper investigates max-min user fairness optimization for flexible intelligent metasurface (FIM) and non-orthogonal multiple access (NOMA)-assisted integrated sensing and comm…
RePos: Relative-to-Absolute Pose Factorization for Cross-Environment WiFi-Based 3D Human Pose Estimation
Zhangcheng Hou, Tomoaki Ohtsuki
Device-free 3D human pose estimation from commodity WiFi Channel State Information (CSI) enables human sensing that preserves privacy and tolerates poor illumination, but its deplo…
Memristor-Based Meta-Learning for Fast mmWave Beam Prediction in Non-Stationary Environments
Yuwen Cao, Tomoaki Ohtsuki, Setareh Maghsudi +1
Traditional machine learning techniques have achieved great success in improving data-rate performance and reducing latency in millimeter wave (mmWave) communications. However, the…
mmGAT: Pose Estimation by Graph Attention with Mutual Features from mmWave Radar Point Cloud
Abdullah Al Masud, Shi Xintong, Mondher Bouazizi +1
Pose estimation and human action recognition (HAR) are pivotal technologies spanning various domains. While the image-based pose estimation and HAR are widely admired for their sup…
Generative Model-Aided Continual Learning for CSI Feedback in FDD mMIMO-OFDM Systems
Guijun Liu, Yuwen Cao, Tomoaki Ohtsuki +2
Deep autoencoder (DAE) frameworks have demonstrated their effectiveness in reducing channel state information (CSI) feedback overhead in massive multiple-input multiple-output (mMI…
A Deep Transfer Learning-Based Low-overhead Beam Prediction in Vehicle Communications
Zhiqiang Xiao, Yuwen Cao, Mondher Bouazizi +2
Existing transfer learning-based beam prediction approaches primarily rely on simple fine-tuning. When there is a significant difference in data distribution between the target dom…