基本介紹
人物經歷,主講課程,研究方向,主要貢獻,研究課題,發表論文,出版,獲獎記錄,
人物經歷
1991年9月-1995年7月在曲阜師範大學物理系學習,獲理學學士學位。
1998年9月-2001年7月在曲阜師範大學自動化研究所學習,獲控制理論與控制工程碩士學位。
2003年9月-2006年7月在中國科學技術大學學習,獲模式識別與智慧型系統博士學位。
1995年7月至今在曲阜師範大學信息技術與傳播學院任教。
2007年2月-2009年5月在中國科學院合肥物質科學研究院做博士後研究。
主講課程
目前主要講授“數字圖像處理”、“數字電路與邏輯設計”、“模擬電路”、“現代信息處理(研究生)”、“數據挖掘(研究生)”等課程。
研究方向
目前主要從事智慧型信息處理、數字圖書館建設等方面的研究工作。
主要貢獻
研究課題
(1) 基於約束獨立分量分析的腫瘤DNA微陣列數據分析新算法研究,國家自然科學基金項目,2008.01—2010.12,主持人。
(2) 基於約束獨立分量分析的基因晶片數據分析算法研究,中國博士後科學基金項目,2007.07—2009.05,主持人。
(3) 基於基因晶片數據的癌症調控網路建模研究,山東省中青年科學家科研獎勵基金計畫項目,2009.01—2011.12,主持人。
發表論文
(1) Chun-Hou Zheng, De-Shuang Huang, Lei Zhang, and Xiang-Zhen Kong, “Tumor clustering using non-negative matrix factorization with gene selection,” IEEE Transactions on Information Technology in Biomedicine. (In press)
(2) Chun-Hou Zheng, De-Shuang Huang, Xiang-Zhen Kong, and Xing-Ming Zhao “Gene expression data classification using consensus independent component analysis,” Genomics Proteomics & Bioinformatics, 6(2), pp.74-82, 2008.
(3) Chun-Hou Zheng, De-Shuang Huang, Kang Li, George Irwin, and Zhan-Li Sun, “MISEP method for post-nonlinear blind source separation,” Neural Computation, 19(9), pp.2557-2578, 2007.
(4) Bo Li, Chun-Hou Zheng, and De-Shuang Huang, “Locally linear discriminant embedding: An efficient method for face recognition,” Pattern Recognition, 41, pp.3813-3821, 2008.
(5) De-Shuang Huang, and Chun-Hou Zheng, “Independent component analysis based penalized discriminant method for tumor classification using gene expression data,” Bioinformatics, 22(15), pp.1855–1862, 2006.
(6) Chun-Hou Zheng, Yan Chen, Xiu-Xia Li, Yi-Xue Li, and Yun-Ping Zhu, “Tumor classification based on independent component analysis,” International Journal of Pattern Recognition and Artifical Intelligence, 20(2), pp.297-310, 2006.
(7) Chun-Hou Zheng, De-Shuang Huang, and Li Shang, “Feature selection in independent component subspace for microarray data classification,” Neurocomputing, 69(16-18), pp.2407-2410, 2006.
(8) Li Shang, De-Shuang Huang, Ji-Xiang Du, and Chun-Hou Zheng, “Palmprint recognition using FastICA algorithm and radial basis probabilistic neural network,” Neurocomputing, 69(13-15), pp. 1782-1786, 2006.
(9) Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, Michael R. Lyu, and Tat-Ming Lok, “Nonnegative independent component analysis based on minimizing mutual information technique,” Neurocomputing, 69(7-9), pp.878-883, 2006.
(10)Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, and Li Shang, “Optimal selection of time lags for TDSEP based on genetic algorithm,” Neurocomputing, 69(7-9), pp.884-887, 2006.
(11)Li Shang, De-Shuang Huang, Chun-Hou Zheng, and Zhan-Li Sun, “Noise removal using a novel non-negative sparse coding shrinkage technique,” Neurocomputing, 69(7-9), pp.874-877, 2006.
(12)Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, and Li Shang, “Using batch algorithm for kernel blind source separation,” Neurocomputing, 69(1-3), pp.273-278, 2005.
(13)Chun-Hou Zheng, Ping Zhang, Lei Zhang, Xin-Xin Liu, and Ju Han, “Gene expression data classification based on non-negative matrix factorization,” The 2009 International Joint Conference on Neural Networks. (Accepted)
(14)Chun-Hou Zheng, Bo Li, Lei Zhang, and Hong-Qiang Wang, “Locally linear discriminant embedding for tumor classification,” ICIC 2008, LNAI 5227, pp. 1093–1100, 2008.
(15)Chun-Hou Zheng, Lei Zhang, Bo Li, and Min Xu, “Gene expression data classification using independent variable group analysis,” ISNN 2008, LNCS 5264, pp. 243–252, 2008.
(16)Chun-Hou Zheng, Zhi-Kai Huang, Michael R. Lyu, and Tat-Ming Lok, “Nonlinear blind source separation using hybrid neural networks,” Lecture Notes in Computer Science, Springer-Verlag, 3971, PP.1160-1170, 2006.
(17)Chun-Hou Zheng, Li Shang, Yan Chen, and Zhi-Kai Huang, “Penalized independent component discriminant method for tumor classification” LNBI 4115, pp. 494 – 503, 2006.
(18)Chun-Hou Zheng, De-Shuang Huang, Zhan-Li Sun, and Li Shang, “Post-nonlinear blind source separation using neural networks with sandwiched structure,” Lecture Notes in Computer Science, Springer-Verlag, 3497, pp.478-483, 2005.
(19)Li Shang, De-Shuang Huang, Chun-Hou Zheng, and Zhan-Li Sun, “Natural image compression using an extended non-negative sparse coding neural network technique,” The 2005 International Joint Conference on Neural Networks (IJCNN2005), Montreal, Quebec, Canada, pp.1866-1871, 2005.
(20)謝麗娟,鄭春厚,美國高校圖書館社會服務發展現狀及啟示,中國圖書館學報,35(180):93-97,2009.
(21)謝麗娟,鄭春厚,吳慶偉,中美高校圖書館社會服務比較研究,圖書館建設,(2):64-67,2009.
(22)張玉蘭,鄭春厚,基於信息構建的數字圖書館評價體系研究,圖書館學研究,(3):40-43,2008.
(23)謝麗娟,鄭春厚,國外圖書館信息服務分析及對我國圖書館建設的啟示,圖書館學研究,(3):90-93,2008.
(24)王翠,鄭春厚,以用戶為中心的數字圖書館界面設計,圖書館學研究,(6):11-14,2008.
(25)張玉蘭,鄭春厚,劉象超,基於AI的數字圖書館評價體系定量研究,情報科學,26(10):1522-1525,2008.
(26)王翠,鄭春厚,以用戶為中心的數字圖書館用戶界面發展研究,數字圖書館論壇,(7):63-66,2008.
出版
(1) 計算機網路基礎,山東科學技術出版社,2004.03,李興保,鄭春厚主編。
(2) Protel DXP 2004電路設計與仿真教程,北京航空航天大學出版社,2008.03,李秀霞,鄭春厚等編著。
獲獎記錄
(1) 中國科學院王寬誠博士後工作獎,2007.12,獨立。
(2) 完善課程建設.注重實踐能力培養創新人才, 山東省教育廳優秀教學成果三等獎, 2002.08,5人第5。