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Shurun-Wang/README.md

Hi there 👋 I‘m Shurun Wang.

Welcome to my GitHub page! You can also visit my academic homepage.

There are two reasons why we open-source our codes: One is that we have benefited from the open-source codes of those great contributors, so we hope our codes can help more people. The other reason is to allow more people to understand our valuable work more clearly through the codes.

If these codes are useful to you, please cite our work and share it with more people. Thank you very much!

Research Interests

  • Applications: Biomedical signal analysis; Human-exoskeleton interaction; Brain function connectivity analysis
  • Algorithms: Deep learning menthods; Reinforcement learning methods; Control theory methods

Work Experiences

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

Education

  • Ph.D. in School of Electrical Engineering and Automation, Hefei University of Technology, 2019.09-2024.06
  • Ph.D. in Graduate School of Medicine, Juntendo University, 2023.04-2024.04 (Visiting Student)
  • M.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, 2016.09-2019.06
  • B.Sc. in School of Electrical Engineering and Automation, Hefei University of Technology, 2012.06-2016.06

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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

Skills

  • Programming languages: Python/Matlab/C
  • Engineering: PLC

Contact Me

Feel free to explore my repositories and get in touch if you have any questions or collaborations!

More codes are flying to you.

Pinned Loading

  1. NAS NAS Public

    Neural architecture search framework based on reinforcement learning:"A Novel Approach to Detecting Muscle Fatigue Based on sEMG by Using Neural Architecture Search Framework"

    Python 7 1

  2. R2CMSE R2CMSE Public

    An improved multiscale sample entropy algorithm to extract signal features: "Analysis of fatigue in the biceps brachii by using rapid refined composite multiscale sample entropy"

    MATLAB 7 1

  3. sEMGDetection sEMGDetection Public

    A Double Threshold Adaptive Method for Robust Detection of Muscle Activation Intervals From Surface Electromyographic Signals

    MATLAB 4

  4. MFTCAN-KNR MFTCAN-KNR Public

    Continuous Estimation of Human Joint Angles From sEMG Using a Multi-Feature Temporal Convolutional Attention-Based Network

    Python 9 1