Author

Xiang Cheng

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Open access Sep 2026

Hybrid Bi-LSTM-Spiking Neural Network for Energy-Efficient ECG Arrhythmia Classification

This study combined a bidirectional long short-term memory (Bi-LSTM) layer, which processed the waveform in both temporal directions, with two leaky integrate-and-fire spiking layers to maintain high ECG classification performance while shifting its later-stage processing to event-driven spike activity.

Nor Amalia Dayana Binti Mohamad Noor, Wong Yan Chiew, Zarina Mohd.Noh et al. · Journal of Telecommunication... · 0 citations

#machine learning Preprint Aug 2026

S3C-LLM: Skill-Code Guided Agentic Language Models for Spectrum-to-Structure Elucidation

S3C-LLM is introduced, a skill-guided and code-grounded agentic LLM for spectrum-to-structure elucidation that consistently outperforms current general LLMs and spectrum-specific models across spectra, while using less than 1/10th of SpectraLLM's training corpus.

Xuan-Le Zhao, Xinyu Cai, Xiang Cheng et al. · 0 citations