Author

Yong-Jin Liu

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#machine learning Mar 2026

SpecXMaster Technical Report

This work proposes SpecXMaster, an intelligent framework leveraging Agentic Reinforcement Learning (RL) for NMR molecular spectral interpretation that enables automated extraction of multiplicity information from both 1H and 13C spectra directly from raw FID (free induction decay) data.

Yu-Tang Ge, Ya-Ning Cui, Han-Zheng Li et al. · arXiv.org · 0 citations

Preprint Aug 2026

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning

This work decomposes the expected generalization gap into a replay-induced representation drift and an optimization-dependence term, the latter further resolved into stability, plasticity, interaction, and residual-coupling components and develops a layer-wise information-theoretic framework that separates these effect...

Tie-Liang Gong, Zhong-Bo Zhang, Wen Wen et al. · 0 citations