CV

Education

• MSc in Communications Engineering

• Beng in Communication Engineering (Yingcai Honors Program of UESTC)
  • CGPA: 3.65/4
  • TOEFL(iBT): 103

Publications

Yuchen Jiang, Peirong Zheng (co-first author) and Dakun Lai, “A Semi-supervised Algorithm for Atrial Fibrillation Attack Prediction Using Convolution Auto-encoder of Time Series Signal.”

Dakun Lai, Peirong Zheng, Yuchen Jiang and Yuxiang Bu, “PAFNet：A Real-time Deep Learning Model for the Prediction of Paroxysmal Atrial Fibrillation Onset using Single-lead ECG”

Research Experience

• 2022 Spring: Undergraduate Student Researcher
• Supervisor：Dakun Lai(Professor), UESTC-BMI-EP
  • Established a comprehensive database by integrating data from three public databases and conducted meticulous preprocessing. The database comprised a total of 855,882 heartbeat activities, including 30 segments of Paroxysmal Atrial Fibrillation (PAF) and 30 segments of normal heart rate.
  • Designed a robust semi-supervised learning model utilizing a convolutional auto-encoder (CAE) architecture. Implemented on TensorFlow, the model achieved an impressive accuracy of 90.16% using only 10% of the available training data for binary classification of ECG signals.
  • Successfully published the research outcomes in the prestigious conference EMBC’23, and I am going to give an oral presentation to highlight the significance of the findings.

Rewards

Skills

• PyTorch
• Matlab