2 papers
cs.AI2026
Rethinking EEG Spatial Super-Resolution as Dynamic State Decomposition and Filtering
Hongjun Liu, Leyu Zhou, Chang Ge +2
EEG spatial super-resolution aims to recover high-density neural signals from sparse electrode observations. Existing methods have achieved substantial progress through spatial mod…
cs.MM2026
CAFE: Channel-Autoregressive Factorized Encoding for Robust Biosignal Spatial Super-Resolution
Hongjun Liu, Leyu Zhou, Zijianghao Yang +4
High-density biosignal recordings are critical for neural decoding and clinical monitoring, yet real-world deployments often rely on low-density (LD) montages due to hardware and o…