Author

Hanwen Wang

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#machine learning Preprint Sep 2026

FRIST: FMRI Representation Informed Shared-space Training Improves EEG-only Individual-Finger BCI Decoding

fMRI Representation-Informed Shared-Space Training (FRIST), a two-stage EEG decoding framework that first learns fMRI-informed spectral projections from simultaneous EEG-fMRI recordings and then uses fMRI-derived class geometry to guide residual refinement of EEG predictions, is introduced, offering a multimodal strate...

Jintao Zhang, Yidan Ding, Joshua Kosnoff et al. · 0 citations

#machine learning Preprint Sep 2026

Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics

On standard homogeneous-physics benchmarks Latent-MoE is competitive with established baselines; on benchmarks with multi-stage time-variable physics, where global models and rigid domain decompositions both fall into spurious solutions, it improves over them by more than an order of magnitude, with markedly reduced gr...

Hanwen Wang, P. Perdikaris · 0 citations

Open access Jul 2026

Sensory-guided human-machine joint learning accelerates the acquisition of motor imagery brain computer interface control

A novel sensory-guided joint learning framework that coordinates subject learning and decoder adaptation to improve BCI acquisition and advances BCI training from passive calibration to active human–machine joint learning, enabling practical and scalable neural interfaces for communication and rehabilitation.

Hanwen Wang, Yisha Zhang, M. Karrenbach et al. · Nature Communications · 0 citations