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Xiaocheng Fang

3 accepted papers

2026

ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation

ICML 2026poster

Electrocardiography (ECG) serves as an indispensable diagnostic tool in clinical practice, yet existing multimodal large language models (MLLMs) remain unreliable for ECG interpretation, often producing plausible but clinically incorrect analyses. To address this, we propose ECG-R1, the first reason…

Cited by 0SourceScholar
2025

Advancing Few-Shot Class-Incremental Learning with Virtual Prototype Guidance Prompting

ICASSP 2025accepted

Few-Shot Class-Incremental Learning (FSCIL) aims to incrementally learn new class knowledge from limited samples while preserving previously knowledge from encountered classes. However, existing FSCIL methods encounter two primary challenges: (1) inadequate adaptation, where overfitting to new class…

Cited by 0SourceScholar
2025

OralXrays-9: Towards Hospital-Scale Panoramic X-ray Anomaly Detection via Personalized Multi-Object Query-Aware Mining

CVPR 2025poster

In clinical practice, panoramic dental radiography is a widely employed imaging technique that can provide a detailed and comprehensive view of dental structures and surrounding tissues for identifying various oral anomalies. However, due to the complexity of oral anomalies and the scarcity of avail…