空间数据的智能处理。

2024.9 山东省自然科学基金项目：《基于宽波段测光图像的恒星大气物理参数直接估计与极贫金属星搜寻算法研究》
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 世俱杯买球官网网站青年学者未来计划
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 世俱杯买球官网网站基本科研业务费《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

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, Pan J, Jiang B, et al. Spectral feature extraction based on the DCPCA method[J]. Publications of the Astronomical Society of Australia, 2013, 30: e24.
3. Bu Yude, Pan J, Jiang B, et al. Stellar spectral subclass classification based on locally linear embedding[J]. Publications of the Astronomical Society of Japan, 2013, 65(4): 81.
4. Chen F, Wu Y, 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 Isomap 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 nonlinear 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 J, 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 Z, Bu Yude, Zhao J, et al. Searching for hot subdwarf stars from the LAMOST spectra. II. Pure spectroscopic identification method[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 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. Wu M, Pan J, Yi Z, Kong X, Bu Yude. Atmospheric parameter measurement of low-S/N stellar spectra based on deep learning[J]. Optik, 2020, 218: 165004.
20. Xie J, Bu Yude, Liang J, et al. Improve the search of very metal-poor stars using deep learning method[J]. The Astronomical Journal, 2021, 162(4): 155.
21. 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.
22. 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.
23. 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.
24. Guo F, Cheng Z, Kong X, Zhang Y, Bu Yude, Yi Z, et al. Searching for barium stars from the LAMOST spectra using machine-learning method[J]. The Astronomical Journal, 2023, 165(2): 40.
25. Wu F, Bu Yude, Zhang M, et al. Directly deriving parameters from SDSS photometric images[J]. The Astronomical Journal, 2023, 166(3): 88.
26. 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.
27. Yang Z, Liu M, Yuan H, Bu Yude, et al. Star photometry for DECaLS and SDSS images based on convolutional neural networks[J]. The Astronomical Journal, 2023, 166(5): 210.
28. 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.
29. 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.
30. Bai S C, Shi Q, Zhang H, Guo R, Shen X C, Liu T Z, Degeling A, 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.
31. 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.
32. Liu W, Bu Yude, Kong X, et al. Identifying hot subdwarf stars from photometric data using Gaussian mixture model and graph neural network[J]. Publications of the Astronomical Society of Japan, 2024, 76(3): 329–339.
33. 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 SDSS images using deep learning[J]. The Astronomical Journal, 2024, 168(2): 74.
34. 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.
35. 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.
36. Zhang M, Bu Yude, Wu F, et al. SPT: Spectral transformer for age and mass estimations of red giant stars[J]. Astronomy & Astrophysics, 2024, 683: A163.
37. Zhang M, Bu Yude, Wu F, et al. The impact of UV spectra on searches for extremely metal-poor stars[J]. Astronomy & Astrophysics, 2024, 691: A21.
38. Zhang R, Liu M, Yi Z, Yuan H, Yang Z, Bu Yude, et al. Deblending overlapping galaxies in DECaLS using transformer-based algorithm[J]. Publications of the Astronomical Society of Australia, 2024, 41: e035.
39. Bai S, 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.
40. Tahir M, Yude B, Mehmood T, et al. Classification of LAMOST spectra of B-type and hot subdwarf stars using kernel support vector machine[J]. Scientific Reports, 2024, 14(1): 16815.
41. Tahir M, Yude B, Mehmood T, et al. Block selection in multiblock partial least squares for modeling genotype–phenotype relations in Saccharomyces[J]. PLOS ONE, 2025, 20(1): e0316350.
42. He P, Li C, Xu M, et al. Potential influence of geomagnetic activity on blood pressure statistical fluctuations at mid-magnetic latitudes[J]. Communications Medicine, 2025, 5(1): 143.
43. Zhang A, Kong X, Liu B, et al. Identifying ring galaxies in DESI Legacy Imaging Surveys using machine learning methods[J]. The Astrophysical Journal Supplement Series, 2025, 279(2): 52.
44. Wu H, Bu Yude, Zhang J, et al. Search for hot subdwarf stars from SDSS images using a deep learning method: SwinBayesNet[J]. Astronomy & Astrophysics, 2025, 693: A245.
45. 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.
46. 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.
47. Zhang Y, Bu Yude, Zhang J, et al. An advanced deep learning model for identifying blue horizontal-branch stars from LAMOST DR10[J]. The Astronomical Journal, 2025, 170(3): 158.
48. Wang K, Bu Yude, Zhang Y, et al. Double-lined spectroscopic binaries identified in LAMOST DR11 with a deep learning model[J]. The Astrophysical Journal Supplement Series, 2025, 280(1): 
49. Zhang Y, Zhang J, Bu Yude, et al. The discovery of new hot subdwarf stars in LAMOST DR12[J]. Research in Astronomy and Astrophysics, 2025, 25(10): 104008.
50. Zhang J, Zhang Y, Bu Yude, et al. A blue horizontal-branch star detector based on SDSS images[J]. Publications of the Astronomical Society of Japan, 2025.
51. Zhang J, Xie D, Bu Yude, et al. An adaptive parameter estimator for poor-quality spectral data of white dwarfs[J]. Astronomy & Astrophysics, 2025, 704: A37.
52. Zhang J, Bu Yude, et al. Finding new hot subdwarf stars in SDSS images[J]. The Astronomical Journal, 2025, 170(2): 94.
53. Li S, Wu F, Bu Yude, et al. Directly deriving atmospheric parameters for one million stars from SMSS photometric images[J]. Astronomy & Astrophysics, 2025, 698: A322.
54. Sun J, Bu Y, Zhang J, et al. Enhancing stellar spectra with diffusion probabilistic models: A novel approach to denoising low SNR astronomical data[J]. Research in Astronomy and Astrophysics, 2025, 25(10): 104007.
55. Sun J, Bu Y, Zhang M, et al. Advancing stellar parameter estimation: Uncertainty-aware astrophysical fusion network for red giant ages and abundances from ultra-low-resolution spectra[J]. The Astrophysical Journal, 2025, 995(2): 174.
56. Lei Z, Dong Y, Kou B, et al. Deep learning–driven atmospheric parameter prediction for hot subdwarf stars with synthetic and observed spectra[J]. The Astrophysical Journal Supplement Series, 2026, 283(1): 16.
57. Zhang M, Bu Y, Shi J, et al. SPT-GloCal: Enhancing [O/Fe] and [Mg/Fe] determinations in metal-poor stars with UV-extended low-resolution CSST spectra[J]. Astronomy & Astrophysics, 2026, 706: A12.
58. Zhang A, Kong X, Liu B, et al. Identifying Ring Galaxies in DESI Legacy Imaging Surveys Using Machine Learning Methods[J]. The Astrophysical Journal Supplement Series, 2025, 279(2): 52.

buyude001@163.com,buyude@sdu.edu.cn

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）

2003-2008 武汉大学世俱杯买球官网网站 硕博连读          
2015-2017 中科院博士后

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

2019年11月-2020年10月，美国Notre Dame大学 访问学者