3 papers
cs.LG2026
Rethinking Generalization in Graph Neural Networks: A Structural Complexity Perspective
Peiyao Wang, Liang Bai, Xian Yang +2
Graph neural networks (GNNs) have emerged as a fundamental tool for learning from graph-structured data, achieving strong performance across a wide range of applications. However,…
cs.CV2025
Progressive Local Alignment for Medical Multimodal Pre-training
Huimin Yan, Xian Yang, Liang Bai +1
Local alignment between medical images and text is essential for accurate diagnosis, though it remains challenging due to the absence of natural local pairings and the limitations…
cs.LG2025
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Xin Zhang, Liang Bai, Xian Yang +1
Low-Rank Adaptation (LoRA) is an efficient fine-tuning method that has been extensively applied in areas such as natural language processing and computer vision. Existing LoRA fine…