Jialiang Yang — accepted AI-conference papers

2026

EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation

Junlin Xu, Jincan Li, Feifei Cui, Zhuang Zhang, Jialiang Yang, Shuting Jin +2

AAAI 2026technical

Medical image segmentation plays a crucial role in clinical diagnosis, lesion quantification, and preoperative planning. However, existing Mamba-based architectures, which rely on fixed-direction sequence modeling and flatten images into one-dimensional (1D) sequences, struggle to capture hierarchic

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2026

TAMER: A Tri-Modal Contrastive Alignment and Multi-Scale Embedding Refinement Framework for Zero-Shot ECG Diagnosis

Xuewei Zhou, Yajie Meng, Pan Zeng, Xianfang Tang, Feifei Cui, Qiangguo Jin +2

CVPR 2026

Cardiovascular disease (CVD) diagnosis relies heavily on electrocardiograms (ECGs). However, most existing self-supervised uni-modal methods suffer from limited representational capacity, while multi-modal frameworks are hindered by coarse-grained semantic alignment across modalities, thus restricti

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