[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.山东大学学报（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.
