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