2 citations · 3 across the 2 of their papers we have counts for
4 papers
IQE-CLIP: Instance-aware Query Embedding for Zero-/Few-shot Anomaly Detection in Medical Domain
Hong Huang, Weixiang Sun, Zhijian Wu +4
Recently, the rapid advancements of vision-language models, such as CLIP, leads to significant progress in zero-/few-shot anomaly detection (ZFSAD) tasks. However, most existing CL…
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection
Rui Zhang, Dawei Cheng, Xin Liu +4
Graph-based anomaly detection is currently an important research topic in the field of graph neural networks (GNNs). We find that in graph anomaly detection, the homophily distribu…
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding
Jiageng Wu, Xian Wu, Yefeng Zheng +1
With appropriate data selection and training techniques, Large Language Models (LLMs) have demonstrated exceptional success in various medical examinations and multiple-choice ques…
Guiding Clinical Reasoning with Large Language Models via Knowledge Seeds
Jiageng WU, Xian Wu, Jie Yang
Clinical reasoning refers to the cognitive process that physicians employ in evaluating and managing patients. This process typically involves suggesting necessary examinations, di…