Author

Zhongnian Li

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#machine learning Preprint Sep 2026

One Shared LoRA Weight for MRI Reconstruction across Acceleration Factors

Shared LoRA is proposed, a parameter-efficient framework that freezes the pretrained SHFormer backbone and trains a single shared set of LoRA adapters together with a lightweight gating network that achieves the best or competitive PSNR and SSIM across acceleration factors.

Zhi-Wei Zhao, Wei-Kang Gong, Zhongnian Li et al. · 0 citations

Jul 2026

Selectivity Matters: Source Node Influence Pruning for Unsupervised Graph Domain Adaptation

SNIP quantifies the structural discrepancy between individual source nodes and the target domain by integrating multiple centrality measures, assigning each source node an influence score, and constructs a refined"sub-source"graph that is inherently more beneficial for subsequent alignment.

Ridong Han, Yawen Shen, Zhongnian Li et al. · arXiv.org · 0 citations