2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Hypothesis-Driven Skill Optimization for LLM Agents
Fangxin Shang, Yehui Yang
External skills can improve action-oriented LLM agents without changing model weights, but persistent skill updates are risky when they are distilled from sparse or noisy trajector…
cs.CV2024★ 1 cited
SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging
Lingdong Shen, Fangxin Shang, Xiaoshuang Huang +3
In the field of medical image segmentation, tackling Out-of-Distribution (OOD) segmentation tasks in a cost-effective manner remains a significant challenge. Universal segmentation…
cs.CV2023★ 2 cited
SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation
Fangxin Shang, Jie Fu, Yehui Yang +3
Large-scale public datasets with high-quality annotations are rarely available for intelligent medical imaging research, due to data privacy concerns and the cost of annotations. I…