Shurun Wang

Shurun Wang

University of Science and Technology of China

A researcher for Muscle-computer interfaces (MCIs), and I have published 5+ papers with .

My research interest includes:

  • Biomedical signal analysis
  • Human-exoskeleton interaction
  • Brain function connectivity analysis

💻 Work Experiences

  • 2024.09 - Now Postdoctoral researcher in School of Information Science and Technology, University of Science and Technology of China, Hefei, China.

🎓 Educations

  • 2019.09 - 2024.06 Ph.D. in School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China.
  • 2023.04 - 2024.04 Ph.D. in Graduate School of Medicine, Juntendo University, Tokyo, Japan. (Visiting Student)
  • 2016.09 - 2019.06 M.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China.
  • 2012.09 - 2016.06 B.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China.

📝 Publications

  1. S. Wang, H. Tang*, R. Himeno, et al. A robust denoising diffusion framework for completing missing regions of multiple biomedical signals. Biomedical Signal Processing and Control, 113:108788, 2026. Paper / Code
  2. S. Wang, H. Tang*, R. Himeno, et al. ECGDenoiser: A magnitude-aware deep learning framework with phase retrieval for electrocardiogram signal enhancement. Circuits, Systems, and Signal Processing, 2025, 44(10): 7526-7548. Paper / Code
  3. S. Wang, H. Tang*, Z. Ping, et al. Improved data-driven model-free adaptive control method for an upper extremity power-assist exoskeleton. Applied Intelligence, 2025, 55(6): 1-18. Paper / Code
  4. S. Wang, H. Tang, R. Himeno, et al. Optimizing graph neural network architectures for schizophrenia spectrum disorder prediction using evolutionary algorithms. Computer Methods and Programs in Biomedicine, 2024, 257: 108419. Paper / Code
  5. S. Wang, H. Tang*, F. Chen, et al. Integrated Block-Wise Neural Network with Auto-Learning Search Framework for Finger Gesture Recognition using sEMG Signals. Artificial Intelligence in Medicine, 2024, 149: 102777. Paper / Code
  6. S. Wang, H. Tang*, B. Wang, et al. A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework. IEEE Transactions on Neural Networks ＆ Learning Systems, 2023, 34(8): 4932-4943. Paper / Code
  7. S. Wang, H. Tang*, L. Gao, et al. Continuous estimation of human joint angles from sEMG using a multi-feature temporal convolutional attention-based network. IEEE Journal of Biomedical and Health Informatics, 2022, 26(11): 5461-5472. Paper / Code
  8. H. Tang*, S. Wang, Q. Tan, et al. A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals from Surface Electromyographic Signals. IEEE Transactions on Instrumentation and Measurement, 2022, 71:1-12. Paper / Code
  9. S. Wang, H. Tang*, B. Wang, et al. Analysis of Fatigue in the Biceps Brachii by Using Rapid Refined Composite Multiscale Sample Entropy. Biomedical Signal Processing and Control, 67(4):102510, 2021. Paper / Code