Guangkun Nie

According to our database, Guangkun Nie authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping.

Donglin Xie, Qingshuo Zhao, Jingyu Wang, Shijia Geng, Jiarui Jin, Jun Li, Rongrong Guo, Guangkun Nie, Gongzheng Tang, Yuxi Zhou, Thomas Penzel, Shenda Hong

CoRR, March, 2026

Artificial intelligence-enabled single-lead ECG for non-invasive hyperkalemia detection: development, multicenter validation, and proof-of-concept deployment.

Gongzheng Tang, Qinghao Zhao, Guangkun Nie, Yujie Xiao, Shijia Geng, Donglin Xie, Shun Huang, Deyun Zhang, Xingchen Yao, Jinwei Wang, Kangyin Chen, Luxia Zhang, Shenda Hong

CoRR, March, 2026

ECGFlowCMR: Pretraining with ECG-Generated Cine CMR Improves Cardiac Disease Classification and Phenotype Prediction.

Xiaocheng Fang, Zhengyao Ding, Jieyi Cai, Yujie Xiao, Bo Liu, Jiarui Jin, Haoyu Wang, Guangkun Nie, Shun Huang, Ting Chen, Hongyan Li, Shenda Hong

CoRR, January, 2026

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling.

Jun Li, Hongling Zhu, Yujie Xiao, Qinghao Zhao, Yalei Ke, Gongzheng Tang, Guangkun Nie, Deyun Zhang, Jin Li, Canqing Yu, Shenda Hong

CoRR, January, 2026

2025

Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes.

Yujie Xiao, Gongzhen Tang, Deyun Zhang, Jun Li, Guangkun Nie, Haoyu Wang, Shun Huang, Tong Liu, Qinghao Zhao, Kangyin Chen, Shenda Hong

CoRR, December, 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