主讲课程:
信号检测理论(本科生课程)
数据挖掘原理及实践(本科生课程)
智能信息处理(研究生课程)
专业英语(研究生课程)
信号检测与估计(研究生课程)
学术兼职:
IEEE高级会员，（S01-M09-SM13）
INNS会员，2010-
BMES会员， 2010-
CCF会员，2013-
IFMBE Young Professionals and Career Development (YPCD) Committee Member， 2010-
在研项目:
国家自然基金青年项目(批准号: 81101115)， 2012-2014
福建省自然基金面上项目(批准号: 2011J01371)， 2011-2014
中央高校基本科研业务费(批准号: 2010121061)， 2010-2013
企业横向技术合作项目
代表性论文:
*Y. Wu. 2015. Knee Joint Vibroarthrographic Signal Processing and Analysis, Heidelberg, Germany: Springer-Verlag.
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
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 & 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
S. Yang, F. Zheng, X. Luo, S. Cai, *Y. Wu, K. Liu, M. Wu, J. Chen, S. Krishnan. 2014. Effective dysphonia detection using feature dimension reduction and kernel density estimation for patients with Parkinson's disease, PLOS ONE, 9(2): e88825
*Y. Wu, X. Luo, F. Zheng, S. Yang, S. Cai, S. C. Ng. 2014. Adaptive linear and normalized combination of radial basis function networks for function approximation and regression, Mathematical Problems in Engineering, 2014: 913897
*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
*Y. Wu, S. Cai, S. Yang, F. Zheng, N. Xiang. 2013. Classification of knee joint vibration signals using bivariate feature distribution estimation and maximal posterior probability decision criterion, Entropy, 15(4): 1375-1387
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
N. Xiang, S. Cai, S. Yang, Z. Zhong, F. Zheng, J. He, *Y. Wu. 2013. Statistical analysis of gait maturation in children using nonparametric probability density function modeling, Entropy, 15(3): 753-766
*Y. Wu, L. Shi. 2011. Analysis of altered gait cycle duration in amyotrophic lateral sclerosis based on nonparametric probability density function estimation, Medical Engineering & 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 & 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
Y. Wu, *S. Krishnan, R. M. Rangayyan. 2010. Computer-aided diagnosis of knee-joint disorders in vibroarthrographic signal analysis: a review, Critical Reviews in Biomedical Engineering, 38(2): 201-224
*R. M. Rangayyan, Y. Wu. 2010. Screening of knee-joint vibroarthrographic signals using probability density functions estimated with Parzen windows, Biomedical Signal Processing and Control, 5(1): 53-58
*Y. Wu, S. Krishnan. 2009. Computer-aided analysis of gait rhythm fluctuations in amyotrophic lateral sclerosis, Medical & Biological Engineering & Computing, 47(11): 1165-1171
*R. M. Rangayyan, Y. Wu. 2009. Analysis of vibroarthrographic signals with features related to signal variability and radial-basis functions, Annals of Biomedical Engineering, 37(1): 156-163
*Y. Wu, R. M. Rangayyan, Y. Zhou, S. C. Ng. 2009. Filtering electrocardiographic signals using an unbiased and normalized adaptive noise reduction system, Medical Engineering and Physics, 31(1): 17-26
*R. M. Rangayyan, Y. F. Wu. 2008. Screening of knee-joint vibroarthrographic signals using statistical parameters and radial basis functions, Medical & Biological Engineering & Computing, 46(3): 223-232