5 papers
IViT: A Novel Interpretable Visual Transformer for Skin Disease Detection
Haibiao Li, Di Lin, Xue Jiang +3
The clinical diagnosis of skin diseases is susceptible to interference from inter-class similarity of skin lesions, and over-reliance on clinicians'experience easily leads to subje…
Explanation-Guided Medical Named Entity Recognition with Stability and Boundary Awareness for Atopic Dermatitis
Xueguang Li, Di Lin, Xue Jiang +2
Objective: This study aims to improve the reliability and robustness of medical named entity recognition (NER) in Chinese atopic dermatitis (AD) clinical texts through explanation-…
Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning
Jihyun Janice Ahn, Ryo Kamoi, Berk Atil +34
LLMs often generate seemingly valid answers to flawed or ill-posed inputs. This is not due to missing knowledge: under discriminative prompting, the same models can mostly identify…
IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder
Di Lin, Wanjing Ren, Xuanbin Li +1
Self-supervised learning (SSL) methods have been increasingly applied to diverse downstream tasks due to their superior generalization capabilities and low annotation costs. Howeve…
Learning Robust Heterogeneous Graph Representations via Contrastive-Reconstruction under Sparse Semantics
Di Lin, Wanjing Ren, Xuanbin Li +1
In graph self-supervised learning, masked autoencoders (MAE) and contrastive learning (CL) are two prominent paradigms. MAE focuses on reconstructing masked elements, while CL maxi…