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Shan-Shan Wu

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#reinforcement learning Open access Sep 2026

Automatic Generation of Deep Learning Models Based on Heterogeneous Pre-Trained Model Stitching

Findings support the feasibility of MPMS-AG for automatic generation of customized deep learning models from heterogeneous pre-trained model libraries within the evaluated setting.

Rong-Ping Xie, Shan-Shan Wu, Lan-Qin Peng et al. · Applied Sciences · 0 citations

Open access Aug 2026

A Software Repository Tag Method Based on Hybrid Search and Graph Enhancement

ReG-TG is proposed, a retrieval-augmented framework for repository tag recommendation that integrates hybrid retrieval, a tag co-occurrence knowledge graph, and Chain-of-Thought reasoning within a large language model (LLM)-based architecture and consistently outperforms representative baselines.

Min Wang, Shan-Shan Wu, Wanjia Lv et al. · Applied Sciences · 0 citations