Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Lingxiang Li

View on Semantic Scholar

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Channel Gains to Captions: Task-Unified Multi-Level RF Sensing With Vision–Language Models

A generative formulation for RF sensing, where millimeter-wave/terahertz channel gains are mapped to captions describing multi-level environmental semantics, and this framework achieves superior performance with a broader semantic scope, and enables task-unified sensing beyond predefined tasks.

Tian-Yu Hu, Zhi-Ren Gong, Hao-Wei Cui et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.