Author

Linghan Huang

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Preprint Aug 2026

SeisMamba: Low-Latency Single-Station Seismic Magnitude Estimation for Spatially Distributed Earthquake Early Warning

Rapid earthquake magnitude estimation is central to earthquake early warning, yet many operational systems depend on dense regional seismic networks and region-specific calibration. This creates a spatial coverage barrier for high-risk areas with sparse sensing infrastructure. Single-station learning offers a lower-cos...

Quenton Yeo, Zhaoge Bi, Ling-Han Huang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

ScopeSAE: Model-Scope Feature Discovery with Interpretable Layer Selection

Sparse autoencoders (SAEs) are a central tool in mechanistic interpretability. However, existing SAEs are primarily trained per layer. The modeling subspace is therefore fixed by layer identity, independent of which token-layer states actually drive each prediction. We argue that this constraint contributes to several...

Qing-Wen Zeng, Ze-Hao Fu, Shu-Yu Meng et al. · 0 citations

#artificial intelligence Preprint Feb 2025

`From Prompt to Perturbation': An Adaptive Framework for Voice-Based Jailbreaks on Audio LLMs

An adaptive jailbreak attack framework for systematic evaluation of both cascaded pipelines and end-to-end large audio-language models under a unified experimental setting that achieves consistently higher attack success rates across diverse audio-based LLM systems.

Linghan Huang, Bo Li, Huaming Chen et al. · 12 citations · ⚡2