吳梅紅，女，畢業於廈門大學，博士，廈門大學信息學院副教授，碩士生導師。
基本介紹
- 中文名：吳梅紅
- 國籍：中國
- 畢業院校：廈門大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：言語聽覺科學、視聽覺信息的認知計算、聽覺認知的心理物理學
- 任職院校：廈門大學信息學院
研究方向,人物經歷,學習經歷,社會兼職,主講課程,學術成果,科研項目,學術論文,
研究方向
言語聽覺科學、視聽覺信息的認知計算、聽覺認知的心理物理學、老齡認知
人物經歷
學習經歷
2009 廈門大學 博士
社會兼職
IEEE Member
IEEE-EMBS Member
主講課程
Mind and Computation（碩博生課程）
Computational Intelligence（碩博生課程）
Matlab程式設計（本科生課程）
離散數學（本科生課程）
認知科學實驗（本科生課程）
工程心理學（本科生課程）
學術成果
科研項目
年齡相關性聽力下降與老年痴呆症的關聯研究（2018-2020）
基於大數據挖掘的老年人能力評估系統研究（2019- 2021）
信息掩蔽下的言語可懂度計算研究 （2015-2017）
嘈雜混淆環境下老齡知覺整合去掩蔽能力研究, 國家自然科學基金項目 （2013-2015）
內容啟動線索去掩蔽的腦機制研究，CCBD認知與腦疾病研究中心開放課題項目 （2014-2015）
基於合成語音的促進老年人去信息掩蔽能力研究 （2011-2012）
學術論文
Wu, M. (2019). Effect of F0 contour on perception of Mandarin Chinese speech against masking. PloS one, 14(1), e0209976.
Wu, M. , & Hong, Z. . (2018). Subjective quality assessment of stereo image compression based on stereoscopic fusion in binocular vision. Journal of Ambient Intelligence and Humanized Computing.
Wu, M. . (2018). Heuristic parallel selective ensemble algorithm based on clustering and improved simulated annealing. The Journal of Supercomputing, 1-11.
Wu, M., Xiao, W., & Hong, Z. (2018). Similar image retrieval in large-scale trademark databases based on regional and boundary fusion feature. PloS one, 13(11), e0205002.
Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock: Directed Network Analysis Using Transfer Entropy Component Analysis. S+SSPR 2018: 491-500
M. Wu, L. Liao, X. Luo, X. Ye, Y. Yao, P. Chen, L. Shi, H. Huang, Y. Wu, Analysis and classification of stride patterns associated with children development using gait signal dynamics parameters and ensemble learning algorithms, BioMed Research International, 2016: 9246280, 2016 (doi: 10.1155/2016/9246280)
Yunfeng Wu, Pinnan Chen, Xin Luo, Meihong Wu, Lifang Liao, Shanshan Yang, Rangaraj M. Rangayyan: Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters. Biomed. Signal Proc. and Control 31: 265-271 (2017)
Yunfeng Wu, Pinnan Chen, Yuchen Yao, Xiaoquan Ye, Yugui Xiao, Lifang Liao, Meihong Wu, Jian Chen: Dysphonic Voice Pattern Analysis of Patients in Parkinson's Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods. Comp. Math. Methods in Medicine 2017: 4201984:1-4201984:11 (2017)
Quan Zou, Sifa Xie, Ziyu Lin, Meihong Wu, Ying Ju: Finding the Best Classification Threshold in Imbalanced Classification. Big Data Research 5: 2-8 (2016)
Yunfeng Wu, Pinnan Chen, Xin Luo, Hui Huang, Lifang Liao, Yuchen Yao, Meihong Wu, Rangaraj M. Rangayyan: 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 (2016)
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, 31: 265-271, 2016
Zou, Q., Guo, J., Ju, Y., Wu, M., Zeng, X., & Hong, Z. (2015). Improving tRNAscan‐SE Annotation Results via Ensemble Classifiers. Molecular informatics, 34(11‐12), 761-770.
S. Yang, S. Cai, F. Zheng, Y. Wu, K. Liu, M. Wu, Q. Zou, J. Chen, Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method,Medical Engineering and Physics, 36(10): 1305-1311, 2014 (doi: 10.1016/j.medengphy.2014.07.008)
Y. Wu, S. Yang, F. Zheng, S. Cai, N. M. Lu, M. Wu, Removal of artifacts in knee joint vibroarthrographic signals using ensemble empirical mode decomposition and detrended fluctuation analysis,Physiological Measurement, 35(3): 429-439, 2014 (doi: 10.1088/0967-3334/35/3/429)
Meihong Wu, Huahui Li, Zhiling Hong, Xinchi Xian, Jingyu Li, Xihong Wu, Liang Li: Effects of aging on the ability to benefit from prior knowledge of message content in masked speech recognition. Speech Communication 54(4): 529-542 (2012)
Wu, M., Li, H., Gao, Y., Lei, M., Teng, X., Wu, X., & Li, L. (2012). Adding irrelevant information to the content prime reduces the prime-induced unmasking effect on speech recognition. Hearing Research, 283(1-2), 136-143.
