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Author

Guomin Sun

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Aug 2026

SPIRA: Sparse Information-Geometric Rank Adaptation for Parameter-Efficient Fine-Tuning of Large Pretrained Models.

SPIRA is a PEFT framework that separates support discovery from parameter-efficient adaptation and remains competitive with representative PEFT baselines while using lower trainable-parameter budgets than several compared weight-side/LoRA-family baselines.

Zhong-Yi Wen, Zhikai Zhai, Guo-Min Sun et al. · 0 citations
Jul 2026

RadioTrace: Transmitter-Aware Diffusion for Radio Map Estimation Without Deployment-Time Fine-Tuning

RadioTrace is proposed, a novel RM estimation framework without deployment-time fine-tuning that tightly integrates sparse RSS measurements with a frozen pre-trained diffusion prior and achieves competitive performance with state-of-the-art learning-based methods under random sampling, and maintains strong reconstructi...

Liu Yang, Qiang Li, Zhuo Cao et al. · 0 citations

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