CV

Profile

I am a Postdoctoral Fellow at The Chinese University of Hong Kong. My research focuses on general artificial intelligence, wearable electronics, large language model applications, model compression, and edge computing, with continuing interests in intelligent physiological sensing and efficient AI systems for healthcare.

Current position

Postdoctoral Fellow, The Chinese University of Hong Kong, 2026 - Present

Education

Ph.D. in Electronic Information, School of Information Science and Technology, Fudan University, Sep. 2022 - Dec. 2025
M.S. in Instrumentation Science and Technology, School of Instrumentation Science and Engineering, Southeast University, Sep. 2019 - Jun. 2022
B.S. in Measurement and Control Technology and Instrumentation, School of Electrical Engineering, Yanshan University, Sep. 2015 - Jun. 2019

Research interests

General artificial intelligence, wearable electronics, large language model applications, model compression, edge computing, intelligent physiological sensing, and efficient AI systems.

Skills

Programming and modeling
- Python, PyTorch, TensorFlow, Scikit-learn, MATLAB, C/C++, Linux Shell
- Machine learning, deep learning, and large language model applications
- Signal processing, classification, prediction, and personalized modeling
Wearable electronics and IoT systems
- Physiological signal acquisition for ECG, PPG, and related biosignals
- Embedded systems, PCB design, and peripheral circuit design
- Online transmission, offline storage, and real-time visualization
Cloud-edge collaborative computing
- Edge deployment of lightweight models
- LAN-based data transfer and monitoring interfaces
- Multi-device physiological monitoring systems

Publications

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. "Why Specialist Models Still Matter: A Heterogeneous Multi-Agent Paradigm for Medical Artificial Intelligence." International Conference on Machine Learning (ICML 2026).

Thinking like Clinicians: Ranking-based Multi-instance Learning for PPG-based Hemodynamic Fluctuation Detection

Daomiao Wang, Qihan Hu, Xiaoman Xing, Hong Wu, Jian Liu, Xuepeng Fu, and Cuiwei Yang. "Thinking like clinicians: Ranking-based multi-instance learning for PPG-based hemodynamic fluctuation detection." Pattern Recognition (2026). DOI: 10.1016/j.patcog.2025.112981.

Bridging the Gap Between Computer Vision and Bioelectrical Signal Analysis

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 129 (2026): 104047. DOI: 10.1016/j.inffus.2025.104047.

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. "Edge-Intelligent Cross-Platform Architecture for Knowledge-Intensive Arterial Blood Pressure Inference in Distributed Healthcare IoT Networks." Expert Systems with Applications (2026).

Exploring an Adaptive Framework for Accurate Personalized Cuff-Less Blood Pressure Tracking

Yumin Li, Xiangyu Zhang, Li Ling, Jian Liu, Minghui Zhao, Chenxi Yang, Junjie Pan, Chaohong Liu, Huan Li, Wenkai Wang, Yanan Zhou, Chenghao Sui, Jianqing Li, and Chengyu Liu. "Exploring an Adaptive Framework for Accurate Personalized Cuff-Less Blood Pressure Tracking." IEEE Transactions on Instrumentation and Measurement (2026). DOI: 10.1109/TIM.2026.3659562.

An Ultra-Efficient Edge-Based Wearable System for Real-Time and Remote Blood Pressure Monitoring

Wei Xiang, Jian Liu, Shuaicong Hu, HaiHui Zhang, Chao Huang, and Cuiwei Yang. "An Ultra-Efficient Edge-Based Wearable System for Real-Time and Remote Blood Pressure Monitoring." Engineering Applications of Artificial Intelligence 166 (2026): 113603. DOI: 10.1016/j.engappai.2025.113603.

Unleashing the Power of Pretrained Transformer for Dense Prediction in Physiological Signals

Qihan Hu, Daomiao Wang, Hong Wu, Jian Liu, and Cuiwei Yang. "Unleashing the Power of Pretrained Transformer for Dense Prediction in Physiological Signals." IEEE Journal of Biomedical and Health Informatics 30, no. 1 (2026): 196-207. DOI: 10.1109/JBHI.2025.3592687.

XSleepFusion: A Dual-stage Information Bottleneck Fusion Framework for Interpretable Multimodal Sleep Analysis

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): 103275. DOI: 10.1016/j.inffus.2025.103275.

A Dual-Focus Cloud-Edge Collaborative Framework in Multitask Hemodynamic Parameter Cross-Scale Analysis: The Equilibrium of Clinical Performance and Efficiency

Jian Liu, Shuaicong Hu, Yanan Wang, Wei Xiang, and Cuiwei Yang. "A Dual-Focus Cloud-Edge Collaborative Framework in Multitask Hemodynamic Parameter Cross-Scale Analysis: The Equilibrium of Clinical Performance and Efficiency." IEEE Internet of Things Journal (2025). DOI: 10.1109/JIOT.2025.3579524.

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. "Transparent artificial intelligence-enabled interpretable and interactive sleep apnea assessment across flexible monitoring scenarios." Nature Communications (2025). DOI: 10.1038/s41467-025-62864-x.

VAM: A Parallel Cross-Modal Hybrid Network for Accurate and Interpretable Vascular Age Estimation from PPG

Jian Liu, Shuaicong Hu, Yanan Wang, and Cuiwei Yang. "VAM: A Parallel Cross-Modal Hybrid Network for Accurate and Interpretable Vascular Age Estimation from PPG." EMBC 2025 (2025).

PULSE: A personalized physiological signal analysis framework via unsupervised domain adaptation and self-adaptive learning

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 278 (2025): 127317. DOI: 10.1016/j.eswa.2025.127317.

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. "LEAF-Net: A real-time fine-grained quality assessment system for physiological signals using lightweight evolutionary attention fusion." Expert Systems with Applications (2025). DOI: 10.1016/j.eswa.2025.126995.

An IoMT-Driven Framework for Precision Cardiovascular Assessment Incorporating Multiscale Perspectives and Microfiber Bragg Grating

Liu Jian, Hengtian Zhu, Wei Xiang, Shuaicong Hu, Qihan Hu, Daomiao Wang, Huan Yang, Zhengyi Mao, Fei Xu, and Cuiwei Yang. "An IoMT-Driven Framework for Precision Cardiovascular Assessment Incorporating Multiscale Perspectives and Microfiber Bragg Grating." IEEE Internet of Things Journal (2025). DOI: 10.1109/JIOT.2024.3483450.

IPCT-Net: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis

Hu Shuaicong, Yanan Wang, Liu Jian, Zhaoqiang Cui, Cuiwei Yang, Zhifeng Yao, and Junbo Ge. "IPCT-Net: Parallel information bottleneck modality fusion network for obstructive sleep apnea diagnosis." Neural Networks 181 (2025): 106836. DOI: 10.1016/j.neunet.2024.106836.

Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals

Hu Qihan, Daomiao Wang, Hong Wu, Liu Jian, and Cuiwei Yang. "Efficient multi-view fusion and flexible adaptation to view missing in cardiovascular system signals." Neural Networks 181 (2025): 106760. DOI: 10.1016/j.neunet.2024.106760.

Personalized Blood Pressure Estimation using Multiview Fusion Information of Wearable Physiological Signals and Transfer Learning

Liu Jian, Shuaicong Hu, Yanan Wang, Wei Xiang, Qihan Hu, and Cuiwei Yang. "Personalized Blood Pressure Estimation using Multiview Fusion Information of Wearable Physiological Signals and Transfer Learning." Applied Soft Computing 167 (2024): 112390. DOI: 10.1016/j.asoc.2024.112390.

Preventing troublesome variability in clinical blood pressure measurement

Liu Chengyu, Liu Jian, Jianqing Li, and Alan Murray. "Preventing Troublesome Variability in Clinical Blood Pressure Measurement." Journal of Human Hypertension. (2024)

A multi-module algorithm for heartbeat classification based on unsupervised learning and adaptive feature transfer

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

A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals

Liu Jian, Shuaicong Hu, 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 (2024). DOI: 10.1109/JBHI.2023.3331975.

Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram

Hu Shuaicong, Liu Jian, Cuiwei Yang, Aiguo Wang, Kuanzheng Li, and Wenxin Liu. "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). DOI: 10.1109/JBHI.2023.3304299.

A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals

Liu Jian, Shuaicong Hu, Zhijun Xiao, Qihan Hu, Daomiao Wang, and Cuiwei Yang. "A novel interpretable feature set optimization method in blood pressure estimation using photoplethysmography signals." Biomedical Signal Processing and Control 86 (2023): 105184. DOI: 10.1016/j.bspc.2023.105184.

Exploring the Applicability of Transfer Learning and Feature Engineering in Epilepsy Prediction Using Hybrid Transformer Model

Hu Shuaicong, Liu Jian, 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 31 (2023): 1321-1332. DOI: 10.1109/TNSRE.2023.3244045.

Personalized Transfer Learning for Single-Lead ECG-Based Sleep Apnea Detection: Exploring the Label Mapping Length and Transfer Strategy Using Hybrid Transformer Model

Hu Shuaicong, Yanan Wang, Liu Jian, and 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). DOI: 10.1109/TIM.2023.3312698.

Sources of office blood pressure measurement error: A systematic review

Liu Jian, Yumin Li, Jianqing Li, Dingchang Zheng, and Chengyu Liu. "Sources of automatic office blood pressure measurement error: a systematic review." Physiological Measurement 43, no. 9 (2022): 09TR02. DOI: 10.1088/1361-6579/ac890e.

A Gaussian-Fitting-Optimized Algorithm for Blood Pressure Determination

Jian Liu, Yumin Li, Jianqing Li, and Chengyu Liu. "A Gaussian-Fitting-Optimized Algorithm for Blood Pressure Determination." Biomedical Engineering Research 2 (2022): 101-106. (in Chinese)

Influence of Finger Movement on the Stability of the Oscillometric Pulse Waveform for Blood Pressure Measurement

Liu Jian, Alan Murray, Jianqing Li, and Chengyu Liu. "Influence of finger movement on the stability of the oscillometric pulse waveform for blood pressure measurement." In 2021 Computing in Cardiology (CinC), vol. 48, pp. 1-4. IEEE, 2021. DOI: 10.23919/CinC53138.2021.9662888.

Jian Liu

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