Qi-Yi He

TDPO: two-stage differentiated prompt optimization for image classification

Prompt engineering has emerged as an effective paradigm for adapting vision-language models (VLMs) to image classification. Although large language models (LLMs) could generate rich visual descriptions, their hallucination often produces inaccurate or weakly discriminative class-specific prompts. Moreover, existing pro...

A novel immune cooperative hybrid breeding optimization algorithm for feature selection of intrusion detection system

SFC-YOLO: An Accuracy-Enhanced and Parameter-Efficient YOLO Framework for Small Vehicle Detection in Aerial Images

SFC-YOLO is proposed, an accuracy-enhanced and parameter-efficient framework based on YOLO11n that improves detection accuracy with fewer trainable parameters at the cost of higher theoretical computation.