8 papers
EM-Guided Graph Learning for Fluid Antenna Beamforming under Current-Domain Constraints
Yuanhui Wu, Hao Jiang, Zaichen Zhang
Fluid antenna arrays (FAAs) reconfigure a finite set of radiating ports within a prescribed aperture. In compact apertures, however, channel-driven placement may cluster ports, str…
Emergence of Frontier Superposition: Möbius attractor and Cascade Supervision
Hongyu Gu, Jingwen Fu
Superposition allows Transformers to reason in depth, carrying an entire reasoning frontier in parallel through a bounded-depth forward pass instead of unrolling serial chain-of-th…
SkillCom: Decomposing LLM-based Semantic Communication into Task and Channel Aware Skills
Jingwen Fu, Ming Xiao, Mikael Skoglund
Large language models (LLMs) are increasingly used as semantic encoders and decoders in semantic communication. However, current LLM based systems mostly remain monolithic: a singl…
DriftDecode: One-Step Wireless Image Decoding via Drifting-Inspired Detail Recovery
Jingwen Fu, Ming Xiao, Mikael Skoglund
Generative receivers for wireless image transmission can improve reconstruction quality, but diffusion-based and flow-based decoding relies on iterative inference and therefore inc…
Land-then-transport: A Flow Matching-Based Generative Decoder for Wireless Image Transmission
Jingwen Fu, Ming Xiao, Mikael Skoglund +1
Due to strict rate and reliability demands, wireless image transmission remains difficult for both classical layered designs and joint source-channel coding (JSCC), especially unde…
Robust Multi-modal Task-oriented Communications with Redundancy-aware Representations
Jingwen Fu, Ming Xiao, Zhonghao Lyu +2
Semantic communications for multi-modal data can transmit task-relevant information efficiently over noisy and bandwidth-limited channels. However, a key challenge is to simultaneo…