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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
空间数据的智能处理。
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 山东大学青年学者未来计划
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 山东大学基本科研业务费《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 J. The RH boundary value problem of the k-monogenic functions[J]. Journal of mathematical analysis and applications, 2008, 347(2): 633-644.
[2]Bu Yude, Jingchang Pan, Bin Jiang, et al. Spectral feature extraction based on the DCPCA method[J]. Publications of the Astronomical Society of Australia, 2013, 30: e24.
[3]Bu Yude, Jingchang P, Bin J, et al. Stellar Spectral Subclass Classification Based on Locally Linear Embedding[J]. Publications of the Astronomical Society of Japan, 2013, 65(4): 81.
[4]Fuqiang Chen, Yan Wu, Bu Yude, et al. Spectral classification using restricted Boltzmann machine[J]. Publications of the Astronomical Society of Australia, 2014, 31: e001.
[5]卜育德, 潘景昌, 陈福强. 基于 lsomap 算法的恒星光谱离群点挖掘[J]. 光谱学与光谱分析, 2014, 34(1): 267-273.
[6]Bu Yude, Pan J C, Wang J. Estimation of Alpha-Element Abundance Ratios Based on Gaussian Process Regression[J]. Applied Mechanics and Materials, 2014, 543: 1685-1688.
[7]Bu Yude, Chen F, Pan J. Stellar spectral subclasses classification based on Isomap and SVM[J]. New Astronomy, 2014, 28: 35-43.
[8]Bu Yude, Pan J. Stellar atmospheric parameter estimation using Gaussian process regression[J]. Monthly Notices of the Royal Astronomical Society, 2015, 447(1): 256-265.
[9]Bu Yude, Zhao G, Luo A, et al. Restricted Boltzmann machine: a non-linear substitute for PCA in spectral processing[J]. Astronomy & Astrophysics, 2015, 576: A96.
[10]Bu Yude, Zhao G, Pan J, et al. ELM: An Algorithm to estimate the alpha abundance from low-resolution spectra[J]. The Astrophysical Journal, 2016, 817(1): 78.
[11]卜育德, 潘景昌, 王春雨, 等. 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.
[12]Bu Yude, Lei Z, Zhao G, et al. Searching for hot subdwarf stars from the LAMOST spectra. I. Method[J]. The Astrophysical Journal Supplement Series, 2017, 233(1): 2.
[13]Lei Zhenxin, Bu Yude, Zhao Jingkun, et al. Searching for hot subdwarf stars from the LAMOST Spectra. II. Pure spectroscopic identification method for hot subdwarfs[J]. Publications of the Astronomical Society of Japan, 2019, 71(2): 41.
[14]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, 39(7): 2288-2292.
[15]卜育德, 潘景昌, 衣振萍. 中低分辨率光谱的恒星 I0 元素丰度估计方法研究[J]. 2019.
[16]Bu Yude, Zeng J, Lei Z, et al. Searching for Hot Subdwarf Stars from the LAMOST Spectra. III. Classification of Hot Subdwarf Stars in the Fourth Data Release of LAMOST Using a Deep Learning Method[J]. The Astrophysical Journal, 2019, 886(2): 128.
[17]Wu M, Bu Yude, Pan J, et al. Spectra-gans: A new automated denoising method for low-s/n stellar spectra[J]. IEEE Access, 2020, 8: 107912-107926.
[18]Bu Yude, Kumar Y B, Xie J, et al. Estimation of stellar ages and masses using gaussian process regression[J]. The Astrophysical Journal Supplement Series, 2020, 249(1): 7.
[19]Xie J, Bu Yude, Liang J, et al. Improve the Search of Very Metal-poor Stars Using the Deep Learning Method[J]. The Astronomical Journal, 2021, 162(4): 155.
[20]Cai B, Kong X, Shi J, Gao Q, Bu Yude, Yi Z. Li-rich Giants Identified from LAMOST DR8 Low-resolution Survey[J]. The Astronomical Journal, 2023, 165(2): 52.
[21]Guo F, Cheng Z, Kong X, Zhang Y, Bu Yude, Yi Z, et al. Searching for Barium Stars from the LAMOST Spectra Using the Machine-learning Method: I[J]. The Astronomical Journal, 2023, 165(2): 40.
[22]Minglei W, Jingchang P, Zhenping Y, Xiaoming K, Bu Yude. Atmospheric parameter measurement of Low-S/N stellar spectra based on deep learning[J]. Optik, 2020, 218: 165004.
[23]Zhongding C, Tianmin W, Bu Yude, et al. Se-ResNet+ SVM model: an effective method of searching for hot subdwarfs from LAMOST[J]. arXiv preprint arXiv:2212.10372, 2022.
[24]Liu W, Bu Yude, Kong X, et al. Identifying hot subdwarf stars from photometric data using Gaussian mixture model and graph neural network[J]. arXiv preprint arXiv:2212.10072, 2022.
[25]Liang J, Bu Yude, Tan K, et al. Estimation of stellar atmospheric parameters with light gradient boosting machine algorithm and principal component analysis[J]. The Astronomical Journal, 2022, 163(4): 153.
[26]Yi Z, Li J, Du W, Liu M, Liang Z, Xing Y, Pan J, Bu Yude, et al. Automatic detection of low surface brightness galaxies from Sloan Digital Sky Survey images[J]. Monthly Notices of the Royal Astronomical Society, 2022, 513(3): 3972-3981.
[27]Wu F, Bu Yude, Zhang M, et al. Directly Deriving Parameters from SDSS Photometric Images[J]. The Astronomical Journal, 2023, 166(3): 88.
[28]Bai S. C, Shi Q, Zhang H, Guo R, Shen X. C, Liu T. Z, Degeling A. W, Tian A, Bu Yude, et al. 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.
[29]Wu T, Bu Yude, Xie J, et al. Estimating stellar parameters and identifying very metal-poor stars for low-resolution spectra (R∼ 200)[J]. Publications of the Astronomical Society of Australia, 2024, 41: e002.
[30]Wu M, Bu Yude. Defective flux and splicing abnormality restoration of stellar spectra in LAMOST based on deep learning[J]. Publications of the Astronomical Society of Japan, 2025, 77(1): 46-60.
[31]Zhang J, Bu Yude, Zhang M, et al. A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs[J]. The Astrophysical Journal Supplement Series, 2025, 276(2): 53.
[32]Bai S, Guo R, Xiao Y, Shi Q, Yao Z, Pu Z, Sun W, Degeling A. Tian A, Rae I, Yao S, Zong Q, Fu S, Bu Yude et al. Spontaneously generated flux ropes in 3‐D magnetic reconnection[J]. Journal of Geophysical Research: Space Physics, 2025, 130(1): e2024JA033461.
[33]Wu H, Bu Yude, Zhang J C, et al. Search for hot subdwarf stars from SDSS images using a deep learning method: SwinBayesNet[J]. Astronomy & Astrophysics, 2025, 693: A245.
[34]Wu H, Bu Yude, Zhang J, et al. VizieR Online Data Catalog: Catalog of hot subdwarf candidates (Wu+, 2025)[J]. VizieR Online Data Catalog, 2024, 369: J/A+ A/693/A245.
[35]Zhang M, Bu Yude, Wu F, et al. The impact of UV spectra on searches for extremely metal-poor stars: A study for future CSST observations[J]. Astronomy & Astrophysics, 2024, 691: A21.
[36]Song S, Kong X, Bu Yude, et al. MEASNet. I. A Model for Barium Star Identification and s-process Abundance Estimation from LAMOST DR10 Low-resolution Survey[J]. The Astrophysical Journal, 2024, 974(1): 78.
[37]Cheng Z, Kong X, Wu T, Zhang A, Liu B, Bu Yude et al. Se-ResNet+ SVM Model: An Effective Method of Searching for Hot Subdwarfs from LAMOST[J]. The Astrophysical Journal Supplement Series, 2024, 274(1): 2.
[38]Liang Z, Yi Z, Du W, Liu M, Liu Y, Wang J, Kong X, Bu Yude, et al. Automatic Search for Low-surface-brightness Galaxies from Sloan Digital Sky Survey Images Using Deep Learning[J]. The Astronomical Journal, 2024, 168(2): 74.
[39]Xie D, Zhang J, Bu Yude, et al. An adaptive parameter estimator for poor-quality spectral data of white dwarfs[J]. arxiv preprint arxiv:2406.04248, 2024.
[40]Liu W, Bu Yude, Kong X, et al. Identifying hot subdwarf stars from photometric data using a Gaussian mixture model and graph neural network[J]. Publications of the Astronomical Society of Japan, 2024, 76(3): 329-339.
[41]Zhang R, Liu M, Yi Z, Yuan H, Yang Z, Bu Yude, et al. Deblending overlapping galaxies in DECaLS using transformer-based algorithm: A method combining multiple bands and data types[J]. Publications of the Astronomical Society of Australia, 2024, 41: e035.
[42]Bai S C, Shi Q, Shen X C, Tian A, Zhang H, Guo R, Wang M, Degeling A, Bu Yude, et al. Whistler‐mode waves inside short large‐amplitude magnetic field structures: Characteristics and generation mechanisms[J]. Journal of Geophysical Research: Space Physics, 2024, 129(3): e2023JA032392.
[43]Zhang M, Wu F, Bu Yude, et al. SPT: Spectral transformer for age and mass estimations of red giant stars[J]. Astronomy & Astrophysics, 2024, 683: A163.
[44]Xing Y, Yi Z, Liang Z, Su H, Du W He M, Liu M, Kong X, Bu Yude, et al. VizieR Online Data Catalog: Low-surface-brightness galaxy cand. from SDSS DR16 (Xing+, 2023)[J]. VizieR Online Data Catalog, 2024, 226: J/ApJS/269/59.
[45]Su H, Yi Z, Liang Z, Du W, Liu M, Kong X, Bu Yude, et al. LSBGnet: an improved detection model for low-surface brightness galaxies[J]. Monthly Notices of the Royal Astronomical Society, 2024, 528(1): 873-882.
[46]Zhang M, Wu F, Bu Yude, et al. Spt: Spectral transformer for red giant stars age and mass estimation[J]. arxiv preprint arxiv:2401.04900, 2024.
[47]Xing Y, Yi Z, Liang Z, Su H, Du W, He M, Liu M, Kong X, Bu Yude, Wu H. Edge-on Low-surface-brightness Galaxy Candidates Detected from SDSS Images Using YOLO[J]. The Astrophysical Journal Supplement Series, 2023, 269(2): 59.
[48]Yuan H, Liu M, Yang Z, Bu Yude, et al. Red Giants Search Method Based on Convolutional Neural Networks[J]. The Astronomical Journal, 2023, 166(6): 244.
[49]Yang Z, Liu M, Yuan H, Bu Yude, et al. 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.
[50]Bai S C, Shi Q, Zhang H, Guo R, Shen X, Liu T Z, Degeling A Tian M, Bu Yude, et al. 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.
[51]Cao Z, Yi Z, Pan J, Su H, Bu Yude, et al. L-Dwarf Detection from SDSS Images Using Improved Faster R-CNN[J]. The Astronomical Journal, 2023, 165(4): 184.
[52]Li X, Bu Yude, Xie J, et al. Determine the Masses and Ages of Red Giant Branch Stars from Low-resolution LAMOST Spectra Using DenseNet[J]. arxiv preprint arxiv:2106.04945, 2021.
 
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 武汉大学数学与统计学院 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、ApJs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)