2 papers
cs.LG2026
A Unified Adaptive Feature Composition Framework for Multi-Task Generalization in Wireless Foundation Models
Yuxuan Shi, Tingting Yang, Kangning Ma +4
Though wireless foundation models (WFMs) have shown strong potential in learning universal channel representations, their adaptation to various downstream tasks remains constrained…
eess.SP2026
Filter-and-Attend: Wireless Channel Foundation Model with Noise-Plus-Interference Suppression Structure
Yuwei Wang, Li Sun, Tingting Yang +3
Wireless channel foundation model (WCFM) is a task-agnostic AI model that is pre-trained to learn a universal channel representation for a wide range of communications and sensing…