Author

Ruizhe Shi

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#machine learning Preprint Oct 2026

Ranking and Partitioning of Attention Heads for Sparse and Continual Reinforcement Learning Fine-tuning

We study sparse and continual reinforcement learning fine-tuning of language models through attention-head ranking and partitioning. For sparse learning, we rank attention heads by gradient norm to identify a small subset of heads that can be trained effectively. For continual learning, we partition heads across tasks...

Rui-Zhe Shi, Zai-Wen Yang, Qiu-Bo Wang et al. · 0 citations

Review Open access Jul 2026

System identification for complex dynamical systems: a survey

This review surveys system identification for complex dynamical systems through a unified framework that connects model structure, operating mode, estimation target, and computational setting and identifies key open challenges, including robust identification under biased or limited data, uncertainty-aware modeling, in...

Xiaoyu Zhang, Zi-Qiang Li, Ruizhe Shi et al. · Complex Engineering Systems · 0 citations