collaborators

9 papers

eess.SP2026

WiFo-2: a generalist foundation model unifies heterogeneous wireless system design

Boxun Liu, Xuanyu Liu, Shijian Gao +3

Emerging sixth-generation wireless systems are increasingly heterogeneous, with compatibility across diverse configurations, ubiquitous coverage, and expanded functionalities. Alth…

eess.SP2026

Large Wireless Foundation Models: Stronger over Bigger

Xiang Cheng, Boxun Liu, Xuanyu Liu +1

AI-communication integration is widely regarded as a core enabling technology for 6G. Most existing AI-based physical-layer designs rely on task-specific models that are separately…

eess.SP2026

WiFo-MUD: Wireless Foundation Model for Heterogeneous Multi-User Demodulator

Zonghui Yang, Shijian Gao, Xuesong Cai +2

Multi-user signal demodulation is critical to wireless communications, directly impacting transmission reliability and efficiency. However, existing demodulators underperform in ge…

eess.SP2025

Embodied Intelligent Wireless (EIW): Synesthesia of Machines Empowered Wireless Communications

Xiang Cheng, Weibo Wen, Haotian Zhang +4

The evolution toward the sixth-generation (6G) and beyond mobile communication systems is marked by a fundamental shift from merely connecting devices to enabling pervasive and emb…

eess.SP2025

WiCo-PG: Wireless Channel Foundation Model for Pathloss Map Generation via Synesthesia of Machines

Mingran Sun, Lu Bai, Ziwei Huang +3

A wireless channel foundation model for pathloss map generation (WiCo-PG) via Synesthesia of Machines (SoM) is developed for the first time. Considering sixth-generation (6G) uncre…

eess.SP2025

WiCo-MG: Wireless Channel Foundation Model for Multipath Generation via Synesthesia of Machines

Zengrui Han, Lu Bai, Xuesong Cai +1

Precise modeling of channel multipath is essential for understanding wireless propagation environments and optimizing communication systems. In particular, sixth-generation (6G) ar…