About Me
Welcome to My Personal Research Hub!
Hi, I'm Jian, a PhD student at Fudan University. My research interests lie in cloud-edge collaborative multimodal information fusion, specifically applied to personalized physiological parameter assessment. I specialize in wearable electronics, deep learning, model lightweighting, and the integration of edge and cloud computing technologies.
🧑🎓 Education
PhD in Electronic Information
Fudan University, 2022.09 - 2025.12
Fudan UniversityMS in Instrumentation Science and Technology
Southeast University, 2019 - 2022
Southeast UniversityBSc in Measurement and Control Technology and Instrumentation
Yanshan University, 2015 - 2019
Yanshan University
🔗 Resources
LSMOE - Open-source code for physiological signal quality assessment. For references, check the links in the repo.
LEAF-Net - Open-source code for time-series multitask learning. See references for more details.
FACT-Net - Source code and circuit diagrams for ABP reconfiguration. See references for more details.
📚 Teaching Experience
I have had the privilege of assisting in the following courses: - Autumn 2023: Medical Electronic Instrumentation — Chaired by Dr. [Cuiwei Yang].
📢 Recent News
- 02/2025: 🎉🎉🎉 LEAF-Net: A real-time fine-grained quality assessment system for physiological signals using lightweight evolutionary attention fusion has been accepted by Expert Systems with Applications.
- 11/2024: Our paper Preventing Troublesome Variability in Clinical Blood Pressure Measurement has been accepted by Journal of Human Hypertension.
- 10/2024: 🎉🎉🎉 Personalized Blood Pressure Estimation Using Multiview Fusion Information of Wearable Physiological Signals and Transfer Learning has been accepted by Applied Soft Computing.
- 10/2024: 🎉🎉🎉 An IoMT-Driven Framework for Precision Cardiovascular Assessment Incorporating Multiscale Perspectives and Microfiber Bragg Grating has been accepted by IEEE Internet of Things Journal.
- 10/2024: Our paper IPCT-Net: Parallel Information Bottleneck Modality Fusion Network for Obstructive Sleep Apnea Diagnosis has been accepted by Neural Networks.
- 09/2024: Efficient Multi-View Fusion and Flexible Adaptation to View Missing in Cardiovascular System Signals has been accepted by Neural Networks.
- 07/2024: We won the second prize in the final of the Biomedical Engineering Competition in Hainan, China.
- 03/2024: Our paper A Multi-Module Algorithm for Heartbeat Classification Based on Unsupervised Learning and Adaptive Feature Transfer has been accepted by Computers in Biology and Medicine.
- 02/2024: Our work has been recognised by JBHI as a Highlight Article: A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals for February 2024.
- 11/2023: Our paper A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals has been accepted by IEEE Journal of Biomedical and Health Informatics.
- 08/2023: Our paper Semi-Supervised Learning for Low-Cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram has been accepted by IEEE Journal of Biomedical and Health Informatics.
- 08/2023: Our paper A Novel Interpretable Feature Set Optimization Method in Blood Pressure Estimation Using Photoplethysmography Signals has been accepted by Biomedical Signal Processing and Control.
- 07/2023: We won the second prize in the final of the Biomedical Engineering Competition in Chongqing, China.
- 01/2023: Our paper Personalized Transfer Learning for Single-Lead ECG-Based Sleep Apnea Detection: Exploring the Label Mapping Length and Transfer Strategy Using Hybrid Transformer Model has been accepted by IEEE Transactions on Instrumentation and Measurement.
- 01/2023: Our paper Exploring the Applicability of Transfer Learning and Feature Engineering in Epilepsy Prediction Using Hybrid Transformer Model has been accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering.
- 10/2022: Our paper Sources of Automatic Office Blood Pressure Measurement Error: A Systematic Review has been accepted by Physiological Measurement.
- 09/2021: I attended Computing in Cardiology 2021 (CinC) in the Czech Republic and gave an oral presentation in the session on Blood Pressure Regulation and Variability.
📫 Contact Information
You can reach me via email or by visiting my office:
- Email: liuj22@m.fudan.edu.cn
- Address: No.2005 Songhu Road, Yangpu District, Shanghai, China