高协平导师主页
基本信息
姓名: 高协平
职称: 教授
单位电话: 073158292865
电子信箱: xpgao@xtu.edu.cn
办公室: 计算机科学与工程系
个人主页:
http://yjs.xtu.edu.cn/gmis/dsgl/dsfc.aspx?id=61DC9E222BB867A822CD9EBE4647966E
个人简介



高协平,男,1965年出生,湖南桃江人,中共党员,博士,教授,博士生导师,享受国务院政府特殊津贴专家。1995年确定为湖南省优秀青年骨干教师培养对象,1999年确定为教育部高等学校骨干教师首批培养对象,2002年确定为湖南省高等学校学科带头人,2004年确定为湖南省121人才工程第一层次人选,2007年确定为“新世纪百千万人才工程”国家级人选。

主要研究领域有小波分析、神经计算、进化算法、视频与图像处理、软件定义网络与安全、计算生物学等。正在主持或主持完成国家自然科学基金3项,湖南省自然科学基金杰出青年科学基金、重点项目、一般项目各1项,湖南省教育厅重点项目1项,湖南省高校创新平台开放基金1项,湖南省科技厅项目2项等。获湖南省科技进步二等奖1项,湖南省自然科学二等奖1项,获国家优秀教学成果二等奖1项,湖南省优秀教学成果一、二、三等奖各2项。在国内外重要学术刊物和学术会议上发表论文70余篇,其中被SCIEI收录40余篇次。

现为中国人民解放军总参谋部三部八局兼职研究员,IEEE会员,中国计算机学会高级会员,中国人工智能学会高级会员,教育部第三届学科发展与专业设置专家委员会委员,中国高等教育学会第六届理事会理事,全国高等学校教学研究会第三届理事会理事,教育部高等学校计算机类专业教学指导委员会委员。

 

科研项目



近年主持的部分科研项目

[1]     国家自然科学基金面上项目,多带多滤波器组的格型结构设计及其在图像融合中的应用,批号:611721712012.01-2015.12.

[2]     国家自然科学基金面上项目,子波参数化及自适应子波神经网络研究,批号:603750212004.01-2006.12.

[3]     国家自然科学基金面上项目,多子波模糊神经网络与信号重构,批号:698750141999.01-2001.12.

[4]     教育部高校骨干教师资助计划,自适应模糊多子波神经网络及在图像数据压缩中的应用研究,批号:GG-520-10530-10222000.01-2002.12.

[5]     教育部留学回国人员科研启动基金,自适应小波神经网络及用于蛋白质结构预测研究,批号:KL1153/z110062005.01-2007.12.

[6]     湖南省自然科学基金杰出青年基金,新型高效的自适应小波神经网络研究,批号:05JJ100112005.01-2007.12.

[7]     湖南省自然科学基金重点基金,二元非分离小波的参数化构造及其在图像压缩中的应用研究,批号:03JJY309604JJ200102004.01-2006.12.

 

主要代表性论文



IEEE期刊论文

[1]      Wanchun Yang, Yanxia Hu, Xieping Gao*, Kai Hu, Fen Xiao, Chunhong Cao, “The Duty Cycle Analysis for Electromagnetic Field Exposure From WLAN in a Busy Period”, IEEE Transactions on Electromagnetic Compatibility, vol. 58, no. 6, pp. 1772-1775, December 2016

[2]      Dapeng Xiong, Rongjie Liu, Fen Xiao, Xieping Gao*, “ProMT: Effective Human Promoter Prediction Using Markov Chain Model Based on DNA Structural Properties”, IEEE Transactions on Nanobioscience, vol. 13, no. 4, pp. 374-383, December 2014

[3]      Xieping Gao, Bodong Li, Fen Xiao, “Lattice structure for generalized-support multidimensional linear phase perfect reconstruction filter bank”, IEEE Transactions on Image Processing, vol. 22, no. 12, pp. 4853-4864, December 2013

[4]      Bodong Li, Xieping Gao*, Fen Xiao, “A new design method of the starting block in lattice structure of arbitrary-length linear phase paraunitary filter bank by combining two polyphase matrices”, IEEE Transactions on Circuits and Systems-II: Express Briefs, vol. 59, no. 2, pp. 118-122, February 2012

[5]      Kai Hu, Xieping Gao*, Fei Li, “Detection of Suspicious Lesions by Adaptive Thresholding Based on Multiresolution Analysis in Mammograms”, IEEE Transactions on Instrumentation and Measurement, vol. 60, no. 2, pp. 462-472, February 2011

[6]      Xieping Gao, Fen Xiao, Bodong Li, Construction of Arbitrary Dimensional Biorthogonal Multiwavelet Using Lifting Scheme, IEEE Transactions on Image Processing, vol. 18, no. 5, pp. 942-955, May 2009

[7]      Bodong Li, Xieping Gao*, Lattice structure for regular linear phase paraunitary filter bank with odd decimation factor, IEEE Signal Processing Letters, vol. 21, no. 1, pp. 14-17, January 2014

其它英文期刊论文

[1]      Kai Hu, Qiaocui Cheng, Bodong Li, Xieping Gao*, “The complex data denoising in MR images based on the directional extension for the undecimated wavelet transform”, Biomedical Signal Processing and Control, vol. 39, pp. 336-350, January 2018.

[2]      Kai Hu, We Yang, Xieping Gao*, “Microcalcification diagnosis in digital mammography using extreme learning machine based on hidden Markov tree model of dual-tree complex wavelet transform”, Expert Systems with Applications, vol. 86, pp. 135-144, November 2017

[3]      Chunhong Cao, Xieping Gao*, “Compressed sensing image restoration based on data-driven multi-scale tight frame”, Journal of Computational and Applied Mathematics, vol. 309, pp. 622-629, January 2017

[4]      Kai Hu, Qiaocui Cheng, Xieping Gao*, “Wavelet-domain TI Wiener-like filtering for complex MR data denoising”, Magnetic Resonance Imaging, vol. 34, no. 8, pp. 1128-1140, October 2016

[5]      Pingan Tan, Haibin He, Xieping Gao, “A Frequency-Tracking Method Based on a SOGI-PLL for Wireless Power Transfer Systems to Assure Operation in the Resonant State”, Journal of Power Electronics, vol.16, no.3, pp. 1056-1066, May 2016

[6]      Bodong Li, Xieping Gao*, “A method to initialize free parameters in lattice structure of arbitrary-length linear phase perfect reconstruction filter bank”, Signal Processing, vol. 106, pp. 319-330, January 2015

[7]      Bodong Li, Xieping Gao*, “A method for initializing free parameters in lattice structure of linear phase perfect reconstruction filter bank”, Signal Processing, vol. 98, pp. 243-251, May 2014

[8]      Dapeng Xiong, Fen Xiao, Li Liu, Kai Hu, Yanping Tan, Shunmin He, Xieping Gao*, “Towards a Better Detection of Horizontally Transferred Genes by Combining Unusual Properties Effectively”, PLoS One, vol. 7, no. 8, pp. 1-5, August 2012

[9]      Chunhong Cao, Xieping Gao*, “Minimum-energy wavelet frame on the interval with arbitrary integer dilation factor”, Journal of Computational and Applied Mathematics, vol. 235, no. 8, pp. 1885-1896, February 2011

[10]  Xia Guo, Xieping Gao*, “A novel hierarchical ensemble classifier for protein fold recognition”, Protein Engineering Design and Selection, vol. 21, pp. 659-664, 2008

[11]  Xieping Gao, Chunhong Cao, “Minimum-energy wavelet frame on the interval”, Science in China Series F: Information Sciences, vol. 51, pp. 1547-1562, 2008

[12]  Xieping Gao, Siwang Zhou, “A study of orthogonal, balanced and symmetric multi-wavelets on the interval”, Science in China Series F: Information Sciences, vol. 48, pp. 761-781, 2005

[13]  Xieping Gao, Hua Zhong, “Parameterization of 3-channel non-separable 2-D wavelets and filters”, Science in China Series F: Information Sciences, vol. 47, pp. 362-371, 2004

[14]  Caiyan Jia, Xieping Gao*, “A general sampling theorem for multiwavelet subspaces”, Science in China Series F, vol. 45, pp. 365-372, 2002

中文期刊论文

[1]      陈智能, 高协平*, 双正交小波的提升构造研究”,计算机学报, vol. 32, pp. 288-298, February 2009

[2]      肖芬, 高协平*, 参数可变系统时间序列短期预测方法”, 软件学报, vol. 17, pp. 1042-1050, May 2006

[3]      高协平, 贾彩燕, 广义插值多小波及其反馈神经网络构造”, 计算机研究与发展, vol. 40, pp. 861-868, June 2003

[4]      高协平, 张钹, 区间小波神经网络(II)——性质与模拟”, 软件学报, vol. 9, pp. 246-250, April 1998

[5]   高协平, 张钹, 区间小波神经网络(I)——理论与实现”, 软件学报, vol. 9, pp. 217-221, March 1998


发明专利



[1]     高协平胡凯,马尔可夫多特征随机场模型构建方法及其脑部MR图像分割技术,中国,ZL201310205383.1已授权.

[2]     高协平,仇权,形状描述符的构建方法及基于该描述符的图像检索方法,中国,ZL201310122040.9已授权.

[3]     高协平张胜龙,胡凯,一种文本图像二值化的优化方法,中国,ZL201510257271.X实质审查.