7 papers
Channel-Agnostic Semantic Compression for Bandwidth-Limited Visual Communication
Xuanhao Luo, Ruichen Gao, Zhizhen Li +2
Bandwidth-limited visual communication systems require efficient transmission of high-dimensional data under dynamic wireless conditions. Existing approaches either rely on joint s…
CSI-JEPA: Towards Foundation Representations for Ubiquitous Sensing with Minimal Supervision
Xuanhao Luo, Zhizhen Li, Yuchen Liu
Channel state information (CSI) provides a widely available sensing modality for human and environment perception, but existing CSI sensing models usually rely on task-specific sup…
MMSense: Adapting Vision-based Foundation Model for Multi-task Multi-modal Wireless Sensing
Zhizhen Li, Xuanhao Luo, Xueren Ge +3
Large AI models have been widely adopted in wireless communications for channel modeling, beamforming, and resource optimization. However, most existing efforts remain limited to s…
Collection: UAV-Based RSS Measurements from the AFAR Challenge in Digital Twin and Real-World Environments
Saad Masrur, Ozgur Ozdemir, Anil Gurses +19
This paper presents a comprehensive real-world and Digital Twin (DT) dataset collected as part of the AERPAW Find A Rover (AFAR) Challenge, organized by the NSF Aerial Experimentat…
ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection
Xuanhao Luo, Shivesh Madan Nath Jha, Akruti Sinha +2
Network log data analysis plays a critical role in detecting security threats and operational anomalies. Traditional log analysis methods for anomaly detection and root cause analy…
Denoising Diffusion Probabilistic Model for Radio Map Estimation in Generative Wireless Networks
Xuanhao Luo, Zhizhen Li, Zhiyuan Peng +2
The increasing demand for high-speed and reliable wireless networks has driven advancements in technologies such as millimeter-wave and 5G radios, which requires efficient planning…