Author

Si-Liang Chen

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Open access Oct 2026

Biophysically constrained learning from healthy neural priors improves motor decoding in pathological cortical networks

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments inherently disrupt canonical encoding, creating a fundamental decoding paradox. Conventional data-driven approaches struggle to bridge this gap because of pathological data scarcity and heterogeneit...

Yi-Han Wu, Tao Chang, Si-Liang Chen et al. · Science Advances · 0 citations

Review Open access Sep 2026

EGNN ‐Based Generative Models for 3D Molecular Generation

It is argued that future drug‐oriented systems should combine joint 2D–3D graph generation, physically credible interaction modeling, synthesis and ADMET constraints, multi‐objective optimization, and closed‐loop experimental feedback.

Si-Liang Chen, Dai-Han Wang, Zhao-Ping Pan et al. · WIREs Computational Molecula... · 0 citations