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cs.LG2026
Contrastive Domain Generalization for Cross-Instrument Molecular Identification in Mass Spectrometry
Seunghyun Yoo, Sanghong Kim, Namkyung Yoon +1
Identifying molecules from mass spectrometry (MS) data remains a fundamental challenge due to the semantic gap between physical spectral peaks and underlying chemical structures. E…
cs.LG2026
Conditional Generative Framework with Peak-Aware Attention for Robust Chemical Detection under Interferences
Namkyung Yoon, Sanghong Kim, Hwangnam Kim
Gas chromatography-mass spectrometry (GC-MS) is a widely used analytical method for chemical substance detection, but measurement reliability tends to deteriorate in the presence o…
cs.LG2026
From Numbers to Prompts: A Cognitive Symbolic Transition Mechanism for Lightweight Time-Series Forecasting
Namkyung Yoon, Hwangnam Kim
Large language models have achieved remarkable success in time series prediction tasks, but their substantial computational and memory requirements limit deployment on lightweight…