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…
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…
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…
Rank-Based Modeling for Universal Packets Compression in Multi-Modal Communications
Xuanhao Luo, Zhiyuan Peng, Zhouyu Li +2
The rapid increase in networked systems and data transmission requires advanced data compression solutions to optimize bandwidth utilization and enhance network performance. This s…
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…
Contextual Combinatorial Beam Management via Online Probing for Multiple Access mmWave Wireless Networks
Zhizhen Li, Xuanhao Luo, Mingzhe Chen +3
Due to the exponential increase in wireless devices and a diversification of network services, unprecedented challenges, such as managing heterogeneous data traffic and massive acc…