福州金嘉实业有限公司

福州金嘉实业有限公司

福州金嘉实业有限公司

人才招聘
师资队伍
吴云峰 副教授、

北京邮电大学 博士（2008）

研究方向：智能信息处理，数据分析，生物医学工程

电子邮件：yunfengwu@xmu.edu.cn

个人主页：http://mirel.xmu.edu.cn/wu/

个人简历：

主讲课程: 

  • 数据挖掘原理及实践（本科生课程）

  • 信号检测理论（本科生课程）

  • 数学建模（本科生课程）

  • 信号检测与估计（研究生课程）


学术兼职：

  • IEEE高级会员

  • Sensors期刊编委

  • Physiological Measurement期刊编委

  • Frontiers in Signal Processing期刊副编辑

  • Computational and Mathematical Methods期刊副编辑

  • 福建省药品监督管理局食品药品认证审评中心评审专家

  • 福建省科技厅科技计划项目评审专家

  • 福州市政务信息化项目评审专家

  • 中国研究生数学建模竞赛评审专家

  • 国际中学生数学建模挑战赛 (IMMC) 评审专家


教学成果及所获奖项：

  • 美国大学生数学建模竞赛特等奖指导教师

  • 福州金嘉实业有限公司2020年度德贞社会课堂基金优秀指导教师

  • 阿里云2016年天池大数据竞赛明星导师奖

  • 福州金嘉实业有限公司2015年度本科生科创竞赛优秀指导教师

  • 2015年福建省优秀研究生学位论文指导教师

  • 福州金嘉实业有限公司英语教学技能比赛一等奖

  • IBM中国奖研金

  • 福州金嘉实业有限公司邓子基奖教金

  • 福州金嘉实业有限公司2011年学生课外学术科技活动及竞赛优秀指导教师奖


代表论文：

  • *Y. Wu. 2015. Knee Joint Vibroarthrographic Signal Processing and Analysis, Heidelberg, Germany: Springer-Verlag.

  • Y. Wu*, P. Chen, X. Luo, M. Wu, L. Liao, S. Yang, R. M. Rangayyan. Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters, Biomedical Signal Processing and Control, 2017, 31: 265-271

  • Y. Wu*, P. Chen, X. Luo, H. Huang, L. Liao, Y. Yao, M. Wu, R. M. Rangayyan. 2016. Quantification of knee vibroarthrographic signal irregularity associated with patellofemoral joint cartilage pathology based on entropy and envelope amplitude measures, Computer Methods and Programs in Biomedicine, 130: 1-12

  • Y. Wu*, P. Chen, Y. Yao, X. Ye, Y. Xiao, L. Liao, M. Wu, J. Chen. Dysphonic voice pattern analysis of patients in Parkinson's disease using minimum inter-class probability risk feature selection and Bagging ensemble learning methods, Computational and Mathematical Methods in Medicine, 2017: 4201984

  • S. Yang, S. Cai, F. Zheng, *Y. Wu, K. Liu, M. Wu, Q. Zou, J. Chen. 2014. Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method, Medical Engineering and Physics, 36(10): 1305-1311

  • *Y. Wu, S. Yang, F. Zheng, S. Cai, M. Lu, M. Wu. 2014. Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis, Physiological Measurement, 35(3): 429-439

  • C. Lin, W. Chen, C. Qiu, Y. Wu, S. Krishnan, *Q. Zou. 2014. LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy, Neurocomputing, 123: 424-435

  • *R. M. Rangayyan, F. Oloumi, Y. Wu, S. Cai. 2013. Fractal analysis of knee-joint vibroarthrographic signals in power spectral analysis, Biomedical Signal Processing and Control, 8(1): 23-29

  • S. Cai, S. Yang, F. Zheng, M. Lu, *Y. Wu, S. Krishnan. 2013. Knee joint vibration signal analysis with matching pursuit decomposition and dynamic weighted classifier fusion, Computational and Mathematical Methods in Medicine, 2013: 904267

  • *Y. Wu, L. Shi. 2011. Analysis of altered gait cycle duration in amyotrophic lateral sclerosis based on nonparametric probability density function estimation, Medical Engineering and Physics, 33(3): 347-355

  • *Y. Wu, S. Krishnan. 2011. Combining least-squares support vector machines for classification of biomedical signals: A case study with knee-joint vibroarthrographic signals, Journal of Experimental and Theoretical Artificial Intelligence, 23(1): 63-77

  • *Y. Wu, S. Krishnan. 2010. Statistical analysis of gait rhythm in patients with Parkinson's disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18(2): 150-158