About Me

Hi! I am Vingo, holding a bachelor’s and doctoral degree from the Department of Automation at Tsinghua University.

Currently, I am working as a postdoctoral fellow at the Institute of Detection and Electronic Technology in the Department of Automation at Tsinghua University. The supervisor is Professor Shi Li.

Research Interest

Coronary heart disease digital twin heart model, bioinformatics processing, smart healthcare, large models, etc

Projects

1. GTDocotr & GTDiagnosis link

2. AlphaFiber link

Publications

1. Que, W., et al. (2019). ECG model based on probabilistic cellular automata. Proceedings of the China Simulation Conference.

2. Que, W., et al. (2022). An ECG generative model of myocardial infarction. Computer Methods and Programs in Biomedicine, 225, 107062. link

3. Que, W., et al. (2024). Efficient electrocardiogram generation based on cardiac electric vector simulation model. Computers in Biology and Medicine, 177, 108629. link

4. Han, C., Que, W., et al. (2022). QRS complexes and T waves localization in multi-lead ECG signals based on deep learning and electrophysiology knowledge. Expert Systems with Applications, 199, 117187. link

5. Han, C., Pan, S., Que, W., et al. (2022). Automated localization and severity period prediction of myocardial infarction with interpretability based on knowledge graph. Expert Systems with Applications, 209, 18398. link

6. Han, C., Sun, J., Bian, Y., Que, W., et al. (2023). Automated Detection and Localization of Myocardial Infarction with Interpretability Analysis Based on Deep Learning. IEEE Transactions on Instrumentation and Measurement, 72, 1-12. link

7. Han, C., Zhou, Y., Que, W., Li, Z., & Shi, L. (2024). An Overview of Algorithms for Myocardial Infarction Diagnostics Using ECG Signals: Advances and Challenges. IEEE Transactions on Instrumentation and Measurement, 73, 1-13. link

Others

Google scholar: link.

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