Yanan Wang's Homepage

Biography

I am a PhD student at the Department of Biomedical Engineering, Fudan University, Shanghai, China, supervised by Prof. Cuiwei Yang. I received my M.Eng. from Fudan University and my B.Eng. from the University of Shanghai for Science and Technology.

My research interests lie in the intersection of artificial intelligence and healthcare, with an emphasis on Medical AI, Multi-Agent Systems, Multimodal Foundation Models, and Cardiovascular Research.

I am actively looking for research collaborations. Please feel free to reach out via email if you are interested.

Educational Background

2023.9–2027.6: Ph.D., Electronic Information, Fudan University (2026 QS 30). (Supervisor: Cuiwei Yang)

2020.9–2023.6: M.Eng., Biomedical Engineering, Fudan University (2026 QS 30). (Supervisor: Cuiwei Yang)

2016.9–2020.6: B.Eng., Biomedical Engineering, University of Shanghai for Science and Technology.

Second Bachelor's Degree, Business Administration, University of Shanghai for Science and Technology.

Research Interests and Skills

Research Interests: AI for Healthcare, Multi-Agent Systems, Multimodal Foundation Models, Domain Adaptation, Cardiovascular Research

Skills: Python (PyTorch, TensorFlow, Keras), Figma, MATLAB, Adobe Illustrator, SolidWorks, SPSS

Certificates: CET-6, National Computer Rank Examination Level 2, Putonghua Proficiency Test Level 1 Grade B

Publications

[1] Yanan Wang†, Shuaicong Hu†, Jian Liu, Guohui Zhou, Aiguo Wang, Cuiwei Yang. "Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence." The 43rd International Conference on Machine Learning (ICML), 2026. (CCF-A Top Conference)

[2] Yanan Wang, Shuaicong Hu, Jian Liu, Aiguo Wang, Guohui Zhou, and Cuiwei Yang. "Bridging the gap between computer vision and bioelectrical signal analysis." Information Fusion, 2025. (JCR Q1, IF=15.5)

[3] Yanan Wang, Shuaicong Hu, Jian Liu, Aiguo Wang*, Guohui Zhou*, and Cuiwei Yang*. "PULSE: A personalized physiological signal analysis framework via unsupervised domain adaptation and self-adaptive learning." Expert Systems With Applications, 2025, 278: 127317. (JCR Q1, IF=7.5)

[4] Yanan Wang, Shuaicong Hu, Jian Liu, Gaoyan Zhong, Cuiwei Yang. "A multi-module algorithm for heartbeat classification based on unsupervised learning and adaptive feature transfer." Computers in Biology and Medicine, 2024, 170: 108072.

[5] Yanan Wang, Guohui Zhou and Cuiwei Yang. "Interpatient heartbeat classification using modified residual attention network with two-phase training and assistant decision." IEEE Transactions on Instrumentation and Measurement, 2023, 72: 2501415. (JCR Q2, IF=5.9)

[6] Yanan Wang, Sen Liu, et al. "A two-step method for paroxysmal atrial fibrillation event detection based on machine learning." Mathematical Biosciences and Engineering, 2022, 19(10): 9877–9894.

[7] Shuaicong Hu, Jian Liu, Yanan Wang, Cong Fu, Jiehu Zhu, Huan Yu, Cuiwei Yang. "Transparent artificial intelligence–enabled interpretable and interactive sleep apnea assessment across flexible monitoring scenarios." Nature Communications (2025), 16(1): 7548. (JCR Q1, IF=15.7)

[8] Ruiqi Shen, Yanan Wang, Chunge Cao, Shuaicong Hu, Jian Liu, Hongyu Wang, Gaoyan Zhong, Cuiwei Yang. "ECG-AuxNet: A dual-branch spatial-temporal feature fusion framework with auxiliary learning for enhanced cardiac disease diagnosis." IEEE Journal of Biomedical and Health Informatics (2025). (JCR Q1, IF=7.7)

[9] Shuaicong Hu, Yanan Wang, Jian Liu, and Cuiwei Yang. "XSleepFusion: A dual-stage information bottleneck fusion framework for interpretable multimodal sleep analysis." Information Fusion, 2025, 123: 103275. (JCR Q1, IF=15.5)

[10] Shuaicong Hu, Yanan Wang, Jian Liu, Zhaoqiang Cui, Cuiwei Yang, Zhifeng Yao, and Jinubo Ge. "IPCTNet: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis." Neural Networks, 2025, 181: 106836. (JCR Q1, IF=6.3)

[11] Jian Liu†, Shuaicong Hu†, Yanan Wang, Qihan Hu, Daomiao Wang, Wei Xiang, Cuiwei Yang. "LEAF-Net: A real-time fine-grained quality assessment system for physiological signals using lightweight evolutionary attention fusion." Expert Systems With Applications (2025), 274: 126995. (JCR Q1, IF=7.5)

[12] Jian Liu, Shuaicong Hu, Yanan Wang, Wei Xiang, Cuiwei Yang. "Edge-intelligent cross-platform architecture for knowledge-intensive arterial blood pressure inference in distributed healthcare IoT networks." Expert Systems With Applications, 2025. (Accepted, JCR Q1, IF=7.5)

[13] Shuaicong Hu, Yanan Wang, Jian Liu, Aiguo Wang, Kunzheng Li, Wenxin Liu, Cuiwei Yang. "Semi-supervised learning for low-cost personalized obstructive sleep apnea detection using unsupervised deep learning and single-lead electrocardiogram." IEEE Journal of Biomedical and Health Informatics (2023), 27(11): 5281–5292. (JCR Q1, IF=7.7)

[14] Shuaicong Hu, Yanan Wang, Jian Liu, Cuiwei Yang. "Personalized transfer learning for single-lead ECG-based sleep apnea detection: exploring the label mapping length and transfer strategy using hybrid transformer model." IEEE Transactions on Instrumentation and Measurement (2023), 72: 2526515. (JCR Q1, IF=5.9)

[15] Shuaicong Hu, Jian Liu, Rui Yang, Yanan Wang, Aiguo Wang, Kuanzheng Li, Wenxin Liu, and Cuiwei Yang. "Exploring the applicability of transfer learning and feature engineering in epilepsy prediction using hybrid transformer model." IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023), 31: 1321–1332. (JCR Q1, IF=5.2)

[16] Jian Liu, Shuaicong Hu, Yanan Wang, Wei Xiang, Qihan Hu, and Cuiwei Yang. "Personalized blood pressure estimation using multisource fusion information of wearable physiological signals and transfer learning." Applied Soft Computing (2024), 107: 112390. (JCR Q1, IF=7.2)

[17] Jian Liu, Shuaicong Hu, Yanan Wang, Qihan Hu, Daomiao Wang, and Cuiwei Yang. "A lightweight hybrid model using multiscale Markov transition field for real-time quality assessment of photoplethysmography signals." IEEE Journal of Biomedical and Health Informatics (2023), 28(2): 1078–1088. (JCR Q1, IF=7.7)

[18] Jian Liu, Shuaicong Hu, Yanan Wang, Wei Xiang, Cuiwei Yang. "A dual-focus cloud-edge collaborative framework in multi-task hemodynamic parameter cross-scale analysis: The equilibrium of clinical performance and efficiency." IEEE Internet of Things Journal (2025). (JCR Q1, IF=8.9)

[19] Jian Liu, Shuaicong Hu, Yanan Wang, Cuiwei Yang. "VAM: A parallel cross-modal hybrid network for accurate and interpretable vascular age estimation from PPG." EMBC 2025 (Oral, EI, 2025).

[20] Rui Yang, Yiwen Wang, Yanan Wang, Xujian Feng, Cuiwei Yang. "Machine learning for localization of premature ventricular contraction origins: a review." Pacing and Clinical Electrophysiology, 47(11): 1481–1491, 2024.

[21] Haijun Jia, Sen Liu, Yanan Wang, Daomiao Wang, Cuiwei Yang. "A method to detect the onsets and ends of paroxysmal atrial fibrillation episodes based on sliding window and coding." Proceedings of the 2022 3rd International Conference on Pattern Recognition and Machine Learning (PRML), 2022. (EI)

[22] Yueyi Wang, Gaoyan Zhong, Yanan Wang, Qiang Zhu, Jiayong Xie, Xintao Deng, Aiguo Wang, Cuiwei Yang. "Intelligent detection of hypokalemia based on 12-lead ECG using two-stream deep learning model." Proceedings of the 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2022. (EI)

Project Experience

National Key R&D Program — Core Technical Contributor Research Funding: 27.9 million RMB

Conducting research on abnormal heartbeat detection and pathological feature mining. 2024.11–Present

National Natural Science Foundation of China — Core Member Research Funding: 520,000 RMB

Conducting research on real-time quality assessment algorithms for physiological signals. 2024.01–Present

Awards

Excellent Volunteer (×1), Outstanding Student Union Minister (×1), Outstanding Organizer (×1), Spiritual Civilization Special Scholarship (×4), First-class Academic Scholarship (×1), Second-class Academic Scholarship (×2), Academic Excellence Scholarship (×7).