Skip to content

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.

#machine learning Preprint Sep 2026

Beyond Flattened Tokens: Structure-Preserving EEG Decoding with Reusable TriDim Blocks

TriDim, a reusable block that preserves the representation shape and keeps three EEG axes explicit: channel, sample position within each patch, and patch position across the recording, is proposed, a reusable block that preserves the representation shape and keeps three EEG axes explicit.

Shi-Yue Su, Song Wang, Ze-Kai Zhan 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.