9 papers
SparsePilot: Belief-Guided Network Planning under Sparse Wireless Measurements
Xuanhao Luo, Jiayuan Huang, Longyu Zhou +2
Unmanned aerial vehicles (UAVs) have emerged as a promising solution for on-demand wireless coverage planning in urban environments. Existing learning-based UAV control methods, ho…
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…
Global-local Spatial-temporal Aware Graph Attention Network for Network Traffic Forecasting
Jinming Xing, Guoheng Sun, Hui Sun +4
Spatial-temporal network traffic forecasting is a challenging task due to the complex spatial relationships and dynamic temporal patterns present in each node. Traditional regressi…
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…
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…