3 papers
cs.LG2026
EMG-FM-Bench: A Comprehensive Benchmark for Foundation Model Transfer and Adaptation on Electromyography
Tianhao Wu, Xu Wu, Amirmohammad Radmehr +8
Foundation models (FMs) are increasingly being developed for general time series and physiological signals, yet their transferability to downstream physiological tasks remains poor…
cs.LG2026
LiteEMG-FM: An Efficient and Deployable Foundation Model for Robust EMG Sensing
Tianhao Wu, Xu Wu, Amirmohammad Radmehr +4
Electromyography (EMG) signals vary substantially across individuals, body regions, recording sessions, and sensing hardware, limiting the generalization of models for assistive de…
cs.CV2026
SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation
Hongyu Wu, Xu Wu, Tianhao Wu +4
American Sign Language (ASL) generation remains challenging due to limited paired text-ASL motion data and the difficulty of learning motion representations both precise for recons…