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师资力量
卜育德




博士,教授,博士生导师,主要研究方向为基于机器学习与人工智能方法处理空间数据。

招收统计学方向(机器学习)的研究生,博士,博士后以及应用统计方向的研究生。



研究领域
基于机器学习与人工智能方法的空间数据的自动处理。
科研项目
2022.1 中国空间站望远镜项目首批课题子课题:基于测光方法估计恒星化学元素丰度
2022.1 中国空间站望远镜项目首批课题 子课题:恒星参数估计问题
2019.1 国家自然科学基金面上项目《利用LAMOST搜寻热亚矮星--基于光谱数据的搜寻方法与参数估计算法研究》
2017.1 国家自然科学基金《利用LAMOST光谱和Kepler星震学数据搜寻α超丰的年轻恒星》
2016.6 37000cm威尼斯青年学者未来计划
2015.8 山东省自然科学基金《LAMOST恒星光谱的金属丰度和alpha元素丰度测量方法研究》
2015.5 中国博士后基金面上项目《LAMOST恒星光谱的大气物理参数测量方法研究》
2014.3 37000cm威尼斯基本科研业务费《基于深度波尔兹曼机算法的光谱特征提取与分类方法研究》
2017.1 国家自然科学基金《LAMOST M型星光谱自动处理方法的研究》,参与
2015.1            国家自然科学基金《LAMOST           低质量光谱的分析处理与数据挖掘》,参与
2012.1 国家自然科学基金青年项目 《非对称线性差分系统谱理论研究》,参与
学术论文
 
[1] Bu Yude, Du Jinyuan. The RH boundary value problem of the k-monogenic functions of the k- monogenic functions. Journal of Mathematical Analysis and Application(347) 2008,633-644.
[2]卜育德,杜金元.多正则函数的Riemann边值问题.数学物理学报. 2009,29A(5):1321-1330.
[3]卜育德. K-单演函数的复合边值问题.37000cm威尼斯学报(理学版).2011, 46(11):53-58.
[4] Bu Yude, Pan Jingchang, Jiang Bin, Chen Fuqiang and Wei Peng, Spectral Feature Extraction Based on the DCPCA Method, Publications of the Astronomical Society of Australia (PASA),2013, 30, e24:1-16,2013年2月 
[5] Yude Bu, Jingchang Pan, Bin Jiang and Peng Wei, Stellar Spectral Subclass Classification Based on Locally Linear Embedding, Publications of the Astronomical Society of Japan,2013, 65(4):1-16, 2013年8月 
[6] Chen Fuqiang, Wu Yan, Bu Yude and Zhao Guodong, Spectral Classification Using Restricted Boltzmann Machine, Publications of the Astronomical Society of Australia (PASA), 2014, 31 , id.e001,2014年1月。 
[7]卜育德,潘景昌,陈福强.基于Isomap算法的恒星光谱离群点挖掘[J].光谱学与光谱分析, 2014(1):267-273,2014年1月。
[8] Bu Y D, Pan J C, Wang J. Estimation of Alpha-Element Abundance Ratios Based on Gaussian Process Regression, Applied Mechanics & Materials, 2014, 543-547:1685-1688, EI, 2014年3月 
[9] Bu Yude, Fuqiang Chen and Jingchang Pan, Stellar spectral subclasses classification based on Isomap and SVM, New Astronomy, 2014, 28:35-43, 2014年4月 
[10] Bu Yude, Pan Jingchang, Stellar atmospheric parameter estimation using Gaussian process regression, Monthly Notices of the Royal Astronomical Society, 2015, 447(1):256-265, 2015年2月 
[11] Bu Yude, Zhao Gang, Luo A-Li, Pan Jingchang, Chen Yuqin, Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing, Astronomy & Astrophysics, 2015, 576, A96:1-8,2015年4月 10 
[12] Yude Bu, Gang Zhao, Jingchang Pan, and Yerra Bharat Kumar, ELM: An Algorithm to estimate the alpha abundance from low-resolution spectra, The Astrophysical Journal, 2016, 817, 78:1-10, 2016年1月22 
[13] 卜育德, 潘景昌, 王春雨,陈修梅. 基于LASSO算法的恒星α元素丰度估计方法研究[J]. 光谱学与光谱分析, 2017, 37(1):278-282. 
[14] Bu Yude, Lei Z, Zhao Gang, Bu Jingde, Pan Jingchang, et al. Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method[J]. Astrophysical Journal Supplement, 2017, 233(1):2:1-10, SCI, 2017年11月 10 
[15]  Lei Z, Bu Y, Zhao J, NémethP, Zhao G. Searching for hot subdwarf stars from the LAMOST Spectra. II. Purespectroscopic identification method for hot subdwarfs. Publications of theAstronomical Society of Japan. 2019, 11;71(2):41. 2019, Feb, 11.
[16] 王晶, 衣振萍, 岳丽丽,董慧芬,潘景昌,卜育德. 基于集成树的M型星光谱分类[J]. 光谱学与光谱分析, 2019(7):2288-2292. 2019.7.1. 
[17] 卜育德,潘景昌, 衣振萍. 中低分辨率光谱的恒星Mg元素丰度估计方法研究[J].光谱学与光谱分析,2019, 39(10):3288-3291.2019.10.1   
[18]  BuYude,Zeng Jingjing, Lei Zhenxin, Yi Zhenping,Searching for HotSubdwarf Stars from the LAMOST Spectra. III. Classification of Hot SubdwarfStars in the Fourth Data Release of LAMOST Using a Deep Learning Method. The Astrophysical Journal, 2019.11:886(2),128:1-10. 2019,11,28。  
[19] Wu Mminglei, Bu Yude, Pan Jingchang, Yi Zhenping, Kong Xiao. Spectra-GANs: A New Automated Denoising Method for Low-S/N Stellar Spectra. IEEE Access. 2020 Jun 5;8:107912-26.   
[20] Bu Yude, Kumar YB, Xie Jianhang, Pan Jingchang, Zhao Gang, Wu Yaqian. Estimation of Stellar Ages and Masses Using Gaussian Process Regression. The Astrophysical Journal Supplement Series. 2020 Jun 25;249(1):7:1-17.  
[21] Jianhang Xie, Yude Bu, Junchao Liang, Li Haining, Xilu Wang And Jingchang Pan. Improve the search of very metal-poor stars using the deep learning method. 2021, The Astronomical Journal,162(4),155,2021.9,22 
[22] Cai, Beichen and Kong, Xiaoming and Shi, Jianrong and Gao, Qi and Bu, Yude and Yi,  Zhenping.Li-rich Giants Identified from LAMOST DR8 Low-resolution Survey.2023,Astronomical Journal, 165:40 (10pp).
[23] Guo, Fengyue and Cheng, Zhongding and Kong, Xiaoming and Zhang, Yatao and Bu, Yude and Yi, Zhenping and Du, Bing and Pan, Jingchang.Searching for Barium Stars from the LAMOST Spectra Using the Machine-learning Method: I.2023,Astronomical Journal,165:40 (10pp).
[24] Wu Minglei, Pan Jingchang, Yi Zhenping, Kong Xiaoming, Bu Yude. Atmospheric parameter measurement of low-S/N stellar spectra based on deep learning. 2020, Optik, 218: 165004 (10pp)  .
[25].  Se-ResNet+SVM model: an effective method of searching for hot subdwarfs from LAMOST,Cheng Zhongding, Kong xiaoming, Wu Tianmin, Bu Yude, Lei Zhenxin, Zhang Yatao, Yi Zhenping, Liu Meng, arXiv:https://arxiv.org/abs/2212.10372
[26]. Identifying hot subdwarf stars from photometric data using Gaussian mixture model and graph neural network, Wei Liu, Yude Bu, Xiaoming Kong, Zhenping Yi, Meng Liu, [24]Publications of the Astronomical Society of Japan, 2024, Vol 76(3): 329-339.
[27] Liang Junchao, Bu Yude, Tan Kefeng, Pan Jingchang, Yi Zhenping, Kong Xiaoming, Fan Zhou. Estimation of Stellar Atmospheric Parameters with Light Gradient Boosting Machine Algorithm and Principal Component Analysis. 2022, Astronomical Journal, 163:153 (12pp).
[28]  Yi Zhenping, Li Jia, Du Wei, Liu Meng, Liang Zengxu, Xing Yongguang,Pan Jingchang, Kong Xiaoming, Bu Yude & Wu Hong. Automatic detection of low surface brightness galaxies from Sloan Digital Sky Survey images. Monthly Notices of the Royal Astronomical Society, 2022, 513(3), 3972-3981.                                                                     
[29] Wu Fan, Bu Yude, Zhang Mengmeng, Yi Zhenping, Liu Meng, Kong Xiaoming,   Directly Deriving Parameters from SDSS Photometric Images[J]. The Astronomical Journal, 2023, 166(3): 88.
[30] Wu Tianmin, Bu Yude,Xie Jianhang, Liang Junchao, Liu Wei,Yi Zhenping, Kong Xiaoming, Liu Meng . Estimating Stellar Parameters and Identifying Very Metal-poor Stars for Low-resolution Spectra (R∼ 200)[J]. Publications of the Astronomical Society of Australia, 1-14. 2023
[31] Bai Shichen, Shi Quanqi, Hui Zhang , Ruilong Guo , Xiao-Chen Shen , Terry Z. Liu , Alexander W. Degeling , Anmin Tian , Yude Bu , Shuai Zhang , Mengmeng Wang , and Xiao Ma, Electron Dynamics and Whistler‐Mode Waves Inside the Short Large‐Amplitude Magnetic Field Structures[J]. Journal of Geophysical Research: Space Physics, 2023, 128(11): e2023JA031816.
[32] Yang Zechao., Liu Meng., Yuan Hao., Bu Yude., Yi Zhenping., Kong Xiaoming.,Wu Tianmin  & Zhang, Ran. Star Photometry for DECam Legacy Survey and Sloan Digital Sky Survey Images Based on Convolutional Neural Networks[J]. The Astronomical Journal, 2023, 166(5), 210.





联系方式
buyude001@163.com,buyude@sdu.edu.cn
获奖情况
论文《Searching for Hot Subdwarf Stars from the LAMOST Spectra. I. Method          》          入选国家大科学工程LAMOST2017年年度亮点研究,并在中科院官方网站 以及LAMOST官方网站进行了报道。          
论文《Stellar spectral subclasses classification based on Isomap and SVM》入选SCI期刊《New Astronomy》2013年以来被引用次数最多的10篇论文之一;          
2012-2017 全国大学生数学建模竞赛  山东省一等奖3项,二等奖2项,三等奖2项 (指导教师)          
2016  泰迪杯数据挖掘竞赛,全国二等奖 (指导教师)
学习经历
2003-2008 武汉大学37000cm威尼斯 硕博连读          
2015-2017 中科院博士后
行政职务与学术兼职
Analytical Chemistry、          Astrophysics and Space Science、ETRIJ Journal 等杂志审稿人          
中国工业与应用数学会会员          
国家自然科学基金通讯评审人          
教育部学位中心通讯评审专家
访问经历
2019年11月-2020年10月,美国Notre Dame大学 访问学者
已毕业研究生(以入学时间为序)
 
在读研究生(以入学时间为序)