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Lushuang Gao

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Jul 2026

Data-Driven Control Methods for Linear Discrete-Time Singularly Perturbed Systems

This paper presents a synergistic control strategy for discrete-time singularly perturbed systems, where data-driven learning is seamlessly combined with LMI-based synthesis, thereby offering an effective new approach for controlling discrete-time singularly perturbed systems in complex engineering environments.

Peng Wang, Wenkai Zhou, Yangyang Wang et al. · 0 citations
Conference Jul 2026

Lightweight reasoning models for NER

Lite-CoNER is proposed, a lightweight NER framework that achieves an effective balance between recognition accuracy and inference efficiency and provides a transparent view of the decision-making process, proving that lightweight models can effectively inherit complex logic through structured distillation.

Yang Wang, Lushuang Gao · 0 citations