3 papers
cs.CV2025
Optimized Unet with Attention Mechanism for Multi-Scale Semantic Segmentation
Xuan Li, Quanchao Lu, Yankaiqi Li +2
Semantic segmentation is one of the core tasks in the field of computer vision, and its goal is to accurately classify each pixel in an image. The traditional Unet model achieves e…
cs.LG2025
Graph Neural Network-Driven Hierarchical Mining for Complex Imbalanced Data
Yijiashun Qi, Quanchao Lu, Shiyu Dou +3
This study presents a hierarchical mining framework for high-dimensional imbalanced data, leveraging a depth graph model to address the inherent performance limitations of conventi…
cs.DB2024
A Matrix Logic Approach to Efficient Frequent Itemset Discovery in Large Data Sets
Xuan Li, Tingyi Ruan, Yankaiqi Li +2
This paper proposes a frequent itemset mining algorithm based on the Boolean matrix method, aiming to solve the storage and computational bottlenecks of traditional frequent patter…