青年研究人员，以第一作者发表SCI期刊论文5+篇，引用
研究领域包括:
- 生物医学信号检测分析处理
- 人-外骨骼交互
- 大脑功能连接分析
💻 工作经历
- 2024.09 - 现在 博士后，信息科学技术学院，中国科学技术大学，合肥，中国。
🎓 教育经历
- 2019.09 - 2024.06 博士，电气与自动化工程学院，合肥工业大学，合肥，中国。
- 2023.04 - 2024.04 博士，医学院, 顺天堂大学，东京，日本。 (联合培养)
- 2016.09 - 2019.06 硕士, 电气与自动化工程学院，合肥工业大学，合肥，中国。
- 2012.09 - 2016.06 学士，电气与自动化工程学院，合肥工业大学，合肥，中国。
📝 发表论文
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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