Guangkun Nie

According to our database, Guangkun Nie authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals.

Yujie Xiao, Gongzhen Tang, Wenhui Liu, Jun Li, Guangkun Nie, Zhuoran Kan, Deyun Zhang, Qinghao Zhao, Shenda Hong

CoRR, October, 2025

Combining ECG Foundation Model and XGBoost to Predict In-Hospital Malignant Ventricular Arrhythmias in AMI Patients.

Shun Huang, Wenlu Xing, Shijia Geng, Hailong Wang, Guangkun Nie, Gongzheng Tang, Chenyang He, Shenda Hong

CoRR, October, 2025

PPGFlowECG: Latent Rectified Flow with Cross-Modal Encoding for PPG-Guided ECG Generation and Cardiovascular Disease Detection.

Xiaocheng Fang, Jiarui Jin, Haoyu Wang, Che Liu, Jieyi Cai, Guangkun Nie, Jun Li, Hongyan Li, Shenda Hong

CoRR, September, 2025

Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint.

Guangkun Nie, Gongzheng Tang, Shenda Hong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Deep Imbalanced Regression to Estimate Vascular Age from PPG Data: a Novel Digital Biomarker for Cardiovascular Health.

Guangkun Nie, Qinghao Zhao, Gongzheng Tang, Jun Li, Shenda Hong

CoRR, 2024

A Review of Deep Learning Methods for Photoplethysmography Data.

Guangkun Nie, Jiabao Zhu, Gongzheng Tang, Deyun Zhang, Shijia Geng, Qinghao Zhao, Shenda Hong

CoRR, 2024