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20242026
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7 papers · 1 filter

cs.LG2025

Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective

Tan Pan, Yixuan Sun, Chen Jiang +8

The multi-lead electrocardiogram (ECG) stands as a cornerstone of cardiac diagnosis. Recent strides in electrocardiogram self-supervised learning (eSSL) have brightened prospects f…

cs.CV2025

Minimal Semantic Sufficiency Meets Unsupervised Domain Generalization

Tan Pan, Kaiyu Guo, Dongli Xu +8

The generalization ability of deep learning has been extensively studied in supervised settings, yet it remains less explored in unsupervised scenarios. Recently, the Unsupervised…

cs.CV2025

Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification

Zhaorui Tan, Tan Pan, Kaizhu Huang +8

LayerNorm is pivotal in Vision Transformers (ViTs), yet its fine-tuning dynamics under data scarcity and domain shifts remain underexplored. This paper shows that shifts in LayerNo…

cs.CV2025

Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning

Tan Pan, Zhaorui Tan, Kaiyu Guo +6

3D medical image self-supervised learning (mSSL) holds great promise for medical analysis. Effectively supporting broader applications requires considering anatomical structure var…

cs.CV2025

Improving Out-of-Distribution Detection via Dynamic Covariance Calibration

Kaiyu Guo, Zijian Wang, Tan Pan +2

Out-of-Distribution (OOD) detection is essential for the trustworthiness of AI systems. Methods using prior information (i.e., subspace-based methods) have shown effective performa…

cs.CV2025

SD-MAD: Sign-Driven Few-shot Multi-Anomaly Detection in Medical Images

Kaiyu Guo, Tan Pan, Chen Jiang +5

Medical anomaly detection (AD) is crucial for early clinical intervention, yet it faces challenges due to limited access to high-quality medical imaging data, caused by privacy con…

eess.IV2025

AneumoBench: A Source-Linked Benchmark for Synthetic-Geometry Transfer in Aneurysm CFD

Xigui Li, Yuanye Zhou, Feiyang Xiao +18

Scientific machine learning uses simulation data to train surrogate models for fast physical-field prediction across geometries. Local shape editing can expand limited geometry col…