Author

Ming-Chu Li

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#small language model Preprint Oct 2026

Towards Efficient Threat Intelligence Instruction Tuning via Quality-Aware and Optimal Transport-Guided Data Selection

Experimental results demonstrate that when fine-tuning with only a small set of high-value instruction data, CTI-TDS outperforms existing data selection methods and achieves competitive performance on threat intelligence analysis tasks.

Ji-Yu Tian, Ming-Chu Li, Xiang-Wei Chen et al. · 0 citations

Open access Oct 2026

Consensus-driven bounding box fusion for robust weapon detection in surveillance systems

Object detection is central to public safety and surveillance, where reliable weapon identification is critical to mitigating security risks, and missed detections can have severe consequences. Existing ensemble methods using homogeneous architectures or standard fusion strategies do not adequately address occlusion, c...

Muhammad Ishtiaq, Ming-Chu Li, Talha Mahboob Alam et al. · Pattern Analysis and Applica... · 0 citations