🧭 About Me
I am a Postdoctoral Fellow at The Chinese University of Hong Kong. I received my Ph.D. degree in Electronic Information from Fudan University in 2025, advised by Prof. Cuiwei Yang. Before that, I received my M.S. degree from Southeast University in 2022 and my B.S. degree from Yanshan University in 2019.
My research focuses on general medical AI, wearable physiological intelligence, multimodal physiological signal modeling, edge intelligence, and deployable healthcare systems. I am especially interested in building robust, interpretable, and efficient AI methods that can move from curated datasets to real-world physiological monitoring, clinical decision support, and distributed healthcare IoT scenarios.
To date, I have published research papers as first author, co-first author, or co-author in venues and journals such as ICML, Nature Communications, Information Fusion, Expert Systems with Applications, IEEE Journal of Biomedical and Health Informatics, IEEE Internet of Things Journal, and IEEE Transactions on Instrumentation and Measurement. My recent work bridges foundation-model-style medical AI, physiological signal representation learning, and edge-deployable wearable healthcare systems.
🎓 Education
Ph.D. in Electronic Information, Fudan University
Advisor: Prof. Cuiwei Yang
M.S. in Instrumentation Science and Technology, Southeast University
Advisors: Prof. Chengyu Liu and Prof. Alan Murray
B.S. in Measurement and Control Technology and Instrumentation, Yanshan University
Advisor: Prof. Yantao Zhao
🔬 Research Interests
📰 News
- Jul. 2026: 🎉🎉🎉 Our work Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence was accepted by ICML 2026.
- Jun. 2026: 🎉🎉🎉 Thinking like Clinicians: Ranking-based Multi-instance Learning for PPG-based Hemodynamic Fluctuation Detection was published in Pattern Recognition.
- May 2026: 🎉🎉🎉 Our paper Edge-Intelligent Cross-Platform Architecture for Knowledge-Intensive Arterial Blood Pressure Inference in Distributed Healthcare IoT Networks was published in Expert Systems with Applications.
- May 2026: Bridging the Gap Between Computer Vision and Bioelectrical Signal Analysis was published in Information Fusion.
- Feb. 2026: An Ultra-Efficient Edge-Based Wearable System for Real-Time and Remote Blood Pressure Monitoring was published in Engineering Applications of Artificial Intelligence.
- Feb. 2026: Exploring an Adaptive Framework for Accurate Personalized Cuff-Less Blood Pressure Tracking was published in IEEE Transactions on Instrumentation and Measurement.
- Jan. 2026: Unleashing the Power of Pretrained Transformer for Dense Prediction in Physiological Signals was published in IEEE Journal of Biomedical and Health Informatics.
- 2026: I started as a Postdoctoral Fellow at The Chinese University of Hong Kong.
Earlier news
- Nov. 2025: XSleepFusion was published in Information Fusion.
- Sep. 2025: Our dual-focus cloud-edge collaborative framework for multitask hemodynamic parameter analysis was published in IEEE Internet of Things Journal.
- Aug. 2025: Transparent artificial intelligence-enabled interpretable and interactive sleep apnea assessment across flexible monitoring scenarios was published in Nature Communications.
- Jul. 2025: I gave an oral presentation at EMBC 2025 on VAM, a parallel cross-modal hybrid network for vascular age estimation from PPG.
- Jun. 2025: PULSE, a personalized physiological signal analysis framework, was published in Expert Systems with Applications.
- May 2025: LEAF-Net was published in Expert Systems with Applications.
- 2024: Our paper Preventing Troublesome Variability in Clinical Blood Pressure Measurement was published in Journal of Human Hypertension.
- 2024: Personalized Blood Pressure Estimation Using Multiview Fusion Information of Wearable Physiological Signals and Transfer Learning was published in Applied Soft Computing.
- 2021: I attended Computing in Cardiology 2021 and gave an oral presentation on blood pressure regulation and variability.
🏅 Honors and Awards
- Fudan University Titled Scholarship, sole recipient in school.
- Outstanding Graduate, Fudan University / Hebei Province / Yanshan University.
- Academic Scholarship, 1st/2nd Class, Fudan University.
- Third Prize, China Postgraduate Artificial Intelligence Innovation Competition.
- First/Second Prize, National University Student Biomedical Engineering Innovation Design Competition.
- Outstanding Youth League Member, Fudan University / Yanshan University.
- Outstanding Communist Party Member, Southeast University.
- Second Class Academic Scholarship, Southeast University, consecutive years.
- Outstanding Student / Class Leader, Yanshan University.
📘 Selected Publications
General Medical AI and Interpretable Healthcare
Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence
Yanan Wang, Shuaicong Hu, Jian Liu, Guohui Zhou, Aiguo Wang, and Cuiwei Yang.
International Conference on Machine Learning (ICML), 2026.
- Studies a heterogeneous multi-agent paradigm for specialist medical AI.
Transparent Artificial Intelligence-enabled Interpretable and Interactive Sleep Apnea Assessment across Flexible Monitoring Scenarios
Shuaicong Hu, Jian Liu, Yanan Wang, Cong Fu, Jichu Zhu, Huan Yu, and Cuiwei Yang.
Nature Communications, 2025.
- Develops transparent AI for flexible and interpretable sleep apnea assessment.
LEAF-Net: A Real-Time Fine-Grained Quality Assessment System for Physiological Signals Using Lightweight Evolutionary Attention Fusion
Jian Liu, Shuaicong Hu, Yanan Wang, Qihan Hu, Daomiao Wang, Wei Xiang, Xujian Feng, and Cuiwei Yang.
Expert Systems with Applications, 2025.
- Builds a lightweight real-time system for fine-grained physiological signal quality assessment.
Physiological Signal Representation and Multimodal Learning
Bridging the Gap Between Computer Vision and Bioelectrical Signal Analysis
Yanan Wang, Shuaicong Hu, Jian Liu, Aiguo Wang, Guohui Zhou, and Cuiwei Yang.
Information Fusion, 2026.
- Connects visual representation learning with bioelectrical signal analysis.
Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals
Qihan Hu, Daomiao Wang, Hong Wu, Jian Liu, and Cuiwei Yang.
Neural Networks, 2025.
- Studies robust multiview physiological signal fusion and flexible adaptation to missing views.
Personalized Blood Pressure Estimation Using Multiview Fusion Information of Wearable Physiological Signals and Transfer Learning
Jian Liu, Shuaicong Hu, Yanan Wang, Wei Xiang, Qihan Hu, and Cuiwei Yang.
Applied Soft Computing, 2024.
- Studies personalized multiview physiological signal fusion and transfer learning for adaptive healthcare modeling.
Edge Intelligence and Wearable Healthcare Systems
Edge-Intelligent Cross-Platform Architecture for Knowledge-Intensive Arterial Blood Pressure Inference in Distributed Healthcare IoT Networks
Jian Liu, Shuaicong Hu, Yanan Wang, Wei Xiang, and Cuiwei Yang.
Expert Systems with Applications, 2026.
- Designs a cross-platform edge architecture for distributed arterial blood pressure inference.
A Dual-Focus Cloud-Edge Collaborative Framework in Multitask Hemodynamic Parameter Cross-Scale Analysis
Jian Liu, Shuaicong Hu, Yanan Wang, Wei Xiang, and Cuiwei Yang.
IEEE Internet of Things Journal, 2025.
- Balances clinical performance and computation efficiency for wearable hemodynamic analysis.
An IoMT-Driven Framework for Precision Cardiovascular Assessment Incorporating Multiscale Perspectives and Microfiber Bragg Grating
Jian Liu, Hengtian Zhu, Wei Xiang, Shuaicong Hu, Qihan Hu, Daomiao Wang, Huan Yang, Zhengyi Mao, Fei Xu, and Cuiwei Yang.
IEEE Internet of Things Journal, 2025.
- Integrates wearable sensing, multiscale cardiovascular assessment, and IoMT deployment for precision monitoring.
🔗 Resources
📚 Teaching Experience
- Autumn 2023: Teaching assistant, Medical Electronic Instrumentation, chaired by Prof. Cuiwei Yang.
📫 Contact Information
- Email: jianliu@cuhk.edu.hk
- Address: The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China