研究领域

天文数据处理、海量光谱分析和数据挖掘。

教育背景

1998-09--2001-12   中国科学院国家天文台   博士
1995-09--1998-04   北京理工大学   硕士
1987-09--1991-06   电子科技大学   学士

工作经历

LAMOST 运行和发展中心主任

工作简历

2018-01~现在, 中国科学院国家天文台, 特聘研究员
2008-12~现在, 中国科学院国家天文台, 研究员
2003-12~2008-12,中国科学院国家天文台, 副研究员
2001-12~2003-12,中国科学院国家天文台, 助理研究员

研究论文(近10年发表的部分论文)

期刊论文（2015-2024）

83. An Empirical Sample of Spectra of M-type Stars with Homogeneous Atmospheric-parameter Labels, Du, Bing; Luo, A. -Li; Wang, Song; and 6 coauthors, 2024, The Astrophysical Journal Supplement Series. 275, 42D 

82. Ensemble Learning for Stellar Classification and Radius Estimation from Multimodal Data, Deng, Zhi-Jie; Yu, Sheng-Yuan; Luo, A. -Li; Kong, Xiao; Li, Xiang-Ru, 2024 Research in Astronomy and Astrophysics, 24, 5019D 

 81. Estimating Stellar Atmospheric Parameters and [α/Fe] for LAMOST O-M-type Stars Using a Spectral Emulator, Liang, Jun-Chao; Luo, A. -Li; and 7 coauthors, 2024, The Astrophysical Journal Supplement Series, 275,8L 

80. Measuring the diffuse interstellar bands at 5780, 5797, and 6614 Å in low-resolution spectra of cool stars from LAMOST, Ma, Xiao-Xiao; Chen, Jian-Jun; Luo, A. -Li; and 7 coauthors, 2024 Astronomy & Astrophysics, 691, .282M 

79. Distance and stellar parameter estimations of solar-like stars from the LAMOST spectroscopic survey, Shen, Yue-Yue; Luo, A. -Li 2024, Astronomy & Astrophysics, 691, .218S 

78. Mira Variables Based on Emission Lines in LAMOST DR9, Qu, Cai-Xia; Luo, A. -Li; Du, Bing; Ma, Shu-Guo, 2024, The Astrophysical Journal Supplement Series,.974, 59Q 

 77. The origin of the X-ray luminosity of the green pea galaxies: X-ray binaries or active galactic nuclei?, Liu, Siqi; Luo, A. -Li; and 4 coauthors, 2024, Astronomy & Astrophysics, 689, 170L 

 76. A Sample of Am and Ap Candidates from LAMOST DR10 (v1.0) Based on the Ensemble Regression Model, Yang, Hai-Feng; Wang, Rui; Cai, Jiang-Hui; Luo, A. -Li; and 7 coauthors 2024, The Astrophysical Journal Supplement Series.272, 43Y 

75. Projected Rotational Velocities for LAMOST Stars with Effective Temperatures Lower than 9000 K, Zuo, Fang; Luo, A. -Li; Du, Bing; and 6 coauthors,  2024 The Astrophysical Journal Supplement Series.271, 4Z 

74. Stellar Atmospheric Parameters for Cool Dwarfs in Gaia Data Release 3, Qu, Cai-Xia; Luo, A. -Li; and 5 coauthors, 2024, The Astrophysical Journal Supplement Series.270, 32Q

 73. A Multimodal Transfer Learning Method for Classifying Images of Celestial Point Sources Wang, Bingjun; Hong, Shuxin; Yuan, Zhiyang; Luo, A. -Li; Kong, Xiao; Zou, Zhiqiang, 2023,  Publications of the Astronomical Society of the Pacific, 135, 4502W 

72. A Galaxy Morphology Classification Model Based on Momentum Contrastive Learning, Shen, Guoqiang; Zou, Zhiqiang; Luo, A. -Li; and 4 coauthors, 2023, Publications of the Astronomical Society of the Pacific,, 135, 4501S 

71. Feature-Based Classification Neural Network for Kepler Light Curves from Quarter 1, Yan, Jing; Wu, Huanli; Qiu, Bo; Luo, A. -Li; Ren, Fuji, 2023, Universe, 9, 435Y 

70. Photometric redshift estimation of quasars with fused features from photometric data and images, Yao, Lin; Qiu, Bo; Luo, A. -Li; and 7 coauthors, 2023, Monthly Notices of the Royal Astronomical Society,.523.5799Y

 69. Ionized-gas Metallicity of the Strong [O III]λ5007 Emission-line Compact Galaxies in the LAMOST Survey，Liu, Siqi;, Luo, A. -Li;, Zhang, Wei; and 4 coauthors， 2023, The Astrophysical Journal Supplement Series.267, 16L 

68. S-type Stars from LAMOST DR10: Classification of Intrinsic and Extrinsic Stars, Chen, Jing; Li, Yin-Bi; Luo, A. -Li; Ma, Xiao-Xiao; Li, Shuo,2023, The Astrophysical Journal Supplement Series, 267, 5C 

67. The H I Gas Fraction Scaling Relation of the Green Pea Galaxies，Liu Siqi, Luo A-li; Zhang, Wei; and 3 coauthors 2023, Research in Astronomy and Astrophysics ,23, 5006   

66. Stellar Parameters and Chemical Abundances Estimated from LAMOST-II DR8 MRS Based on Cycle-StarNet, Wang, Rui; Luo, A. -Li; Zhang, Shuo and 3 coauthors, 2023, The Astrophysical Journal Supplement Series,.266...40W 

65. Galaxy image classification using hierarchical data learning with weighted sampling and label smoothing, Ma, Xiaohua ;Li, Xiangru ;Luo, Ali ;Zhang, Jinqu ;Li, Hui, Monthly Notices of the Royal Astronomical Society, 2023, 519(3): 4765-4779 

64. A spectroscopic modelling method for the detached eclipsing binaries to derive atmospheric parameters Xiang-Lei Chen, A-Li Luo* , and 6 coauthors, 2023, Astronomy & Astrophysics, 671, A92 

 63. Stellar classification with convolutional neural networks and photometric images: a new catalogue of 50 million SDSS stars without spectra, Shi Jing-Hang, Qiu Bo*, Luo A-Li*, and 3 coauthors, 2023, Monthly Notices of the Royal Astronomical Society,520.2269S 

62. Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. II. Period Estimates, Hou Wen, Luo, A-Li, and 3 coauthors, 2023, The Astronomical Journal,.165,148 

61. PhotoRedshift-MML: A multimodal machine learning method for estimating photometric redshifts of quasars, Hong Shuxin, Zou Zhiqiang*; Luo A-Li*, and 3 coauthors, 2023 Monthly Notices of the Royal Astronomical Society,518.5049 

60. The Significance of Thermally Pulsing Asymptotic Giant Branch Stars in Post-starburst Galaxies, Liu Siqi & Luo A -Li*, 2023, Research in Astronomy and Astrophysics,23,015017 

59. Unsupervised clustering and analysis of WISE spiral galaxies, Guo Xiaoyu, Liu Cuixiang, Qiu Bo*, Luo A-Li* and 4 coauthors 2022, Monthly Notices of the Royal Astronomical Society,517.1837 

58. Identification and Parameter Determination of F-type Herbig Stars from LAMOST DR8, Zhang Yun-Jin, Luo A-Li*, Jiang Biwei, and 5 coauthors, 2022 The Astrophysical Journal , 936, 151 

57.The diffuse interstellar bands 6381,6615 and 6662 in the LAMOST-MRS, Ke-Fei Wu, A- Li Luo*, Jian-Jun Chen, and coauthors, 2022, Research in Astronomy and Astrophysics, 

 56.New emission-line galaxies and Galactic HII regions identified with spectra in the Unknown dataset of LAMOST DR7, Lu Yan, Luo A-Li*, and coauthors, 2022, Research in Astronomy and Astrophysics 

 55. S-type stars discovered in Medium-Resolution Spectra of LAMOST DR9，Chen, Jing; Luo, A-Li*; Li, Yin-Bi and 5 coauthors, 2022, The Astrophysical Journal， 

54. Identification, mass and age of primary red clump stars from spectral features derived with the LAMOST DR7, Xujiang He, Ali Luo, Yuqin Chen, MNRAS He, Xu-Jiang; Luo, A. -Li*; Chen, Yu-Qin, 2022, Monthly Notices of the Royal Astronomical Society, 512, 1710 

53.Ultracool dwarfs identified with spectra in LAMOST DR7，Wang You-Fen; Luo, A. -Li*; Chen, Wen-Ping, and 7 coauthors, 2022，Astronomy & Astrophysics，660，38 

52. Strong [OIII]λ5007emission line compact dwarf galaxies in LAMOST DR8 and DR9: Blueberries, Green Peas and Purple Grapes, Liu, Siqi; Luo, A. -Li*; Yang, Huan, and 8 coauthors, 2022, The Astrophysical Journal 927, 57 

51.Objective separation between CP1 and CP2 based on feature extraction with Machine Learning, Lun-Hua Shang, A-Li Luo* and 8 coauthors, The Astrophysical Journal Supplement Series, 259, 63 

50. A catalog of early-type H_alpha emission line stars and 62 newly confirmed Herbig Ae/Bes from LAMOST DR7, Zhang Yun-Jin, Hou Wen, Luo A-Li * and 6 coauthors, 2022, The Astrophysical Journal Supplement Series, 259,38 

49. Deep learning applications based on SDSS photometric data: detection and classification of sources, He Z., Qiu B., Luo A.-L., and 3 coauthors, 2021, Monthly Notices of the Royal Astronomical Society, 508, 2039. doi:10.1093/mnras/stab2243 

48. Identification of White Dwarfs from Gaia EDR3 via Spectra from LAMOST DR7, Kong Xiao, Luo A.-Li *, 2021, Research Note of American Astronomical Society, 5, 249. doi:10.3847/2515-5172/ac3417 

47. LASPM: the LAMOST stellar parameter pipeline for M-type stars and application to the sixth and seventh data release (DR6 and DR7), Du B., Luo A.-L. *, Zhang S., and 7 coauthors, 2021, Research in Astronomy and Astrophysics, 21, 202. doi:10.1088/1674-4527/21/8/202 

46. Rotational Velocities of Am and Non-chemical-peculiar Stars Based on Kepler and LAMOST DR5, Qin, Li, Luo A-Li*, Hou Wen, and 9 coauthors, 2021, The Astronomical Journal, 162, 32 

 45.Study on outliers in the big stellar spectral dataset of the fifth data release (DR5) of the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST), Lu,Y., Luo, A.-L*.,Wang L.-L., and 10 coauthors, 2021 Astronomy and Computing, 36, 100485 

44. uation of Stellar Parameters and Calibrating the Surface Gravity log g for LAMOST-II Median Resolution Survey, Chen, Xiang-Lei,  Luo A-Li*,  Chen, Jian-Jun, and 8 more coauthors, 2021, Publications of the Astronomical Society of the Pacific, 133, 1022, 044502, 

 43. M-subdwarf Research. II. Atmospheric Parameters and Kinematics, Zhang, Shuo, Luo A-Li*, Comte, Georges, and 12 more coauthors, 2021, The Astrophysical Journal, 908, 131 

42. 591 High-velocity Stars in the Galactic Halo Selected from LAMOST DR7 and Gaia DR2, Li, Yin-Bi, Luo A-Li*, Lu, You-Jun, and 14 more coauthors, 2021, The Astrophysical Journal Supplement Series, 252, 3 

41. SPCANet: Stellar Parameters and Chemical Abundances Network for LAMOST-II Medium Resolution Survey, Wang, Rui, Luo A-Li*, Chen, Jian-Jun, and 6 more coauthors, 2020, The Astrophysical Journal, 891, 23 

40. Celestial Spectra Classification Network Based on Residual and Attention Mechanisms, Zhiqiang Zou, Tiancheng Zhu, Lingzhe Xu, and A-Li Luo*, 2020, Publications of the Astronomical Society of the Pacific, 132, 044503 

39. Classification for Unrecognized Spectra in LAMOST DR6 Using Generalization of Convolutional Neural Networks, Zi-Peng Zheng, Bo Qiu, A-Li Luo*, and Yin-Bi Li, 2020, Publications of the Astronomical Society of the Pacific, 132, 024504 

 38. Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. I. The Sample, Hou, Wen, Luo A-Li*, Li, Yin-Bi, and Qin, Li, 2020, The Astronomical Journal, 159, 43 

37. Properties of Radial Velocities measurement based on LAMOST-II Medium-Resolution Spectroscopic Observations, Wang. R., Luo, A.-L*., Chen.J.J. and 28 coauthors, 2019, The Astrophysical Journal Supplement Series, 243,37 

36. A catalog of DB white dwarfs from the LAMOST DR5 and construction of templates, Kong, Xiao, Luo, A. –Li*, & Li, Xiang-Ru, 2019, Research in Astronomy and Astrophysics, 19,88 

 35. Metallic-line Stars Identified from Low-resolution Spectra of LAMOST DR5, Qin, Li; Luo, A. –Li*; Hou, Wen and 6 coauthors, 2019, The Astrophysical Journal Supplement Series, 242,13 

34. Recognition of M-type stars in the unclassified spectra of LAMOST DR5 using a hash-learning method Guo, Y.-X., Luo, A.-L*., Zhang, S., and 6 coauthors,2019, Monthly Notices of the Royal Astronomical Society, 482, 1889 

33. M-subdwarf Research. I. Identification, Modified Classification System, and Sample Construction; Zhang Shuo; Luo A.-Li*; Comte Georges; and 7 coauthors, 2019, The Astrophysical Journal Supplement Series, 240,  article id. 31, 15 pp. 

32. Double-peaked narrow emission-line galaxies in LAMOST survey, Wang, M.-X.; Luo, A.-L. *; Song, Y.-H.;  and 10 coauthors; 2019, Monthly Notices of the Royal Astronomical Society, 482, 1889 

31. An Empirical Template Library for FGK and Late-type A Stars Using LAMOST Observed Spectra, Du Bing; Luo, A.-Li*; Zuo, F.; and 16 coauthors, 2019, The Astrophysical Journal Supplement Series, 240,10. 

30. Analysis of stellar spectra from LAMOST DR5 with generative spectrum networks., Wang, R.; Luo, A.-L. *; Zhang, S.; and 9 coauthors, 2019, Publication of the Astronomical Society of the Pacific, 131, 4505 

29. Spectroscopic Identification and Chemical Distribution of HII Regions in the Galactic Anti-center Area from LAMOST, Wang, Li-Li; Luo, A.-Li*; Hou, Wen and 4 coauthors, 2018, Publication of the Astronomical Society of the Pacific, 130, 4301 

28. Hyperflares of M Dwarfs, Chang, H.-Y.; Lin, C.-L.; Ip, W.-H.; Huang, L.-C.; Hou, W.-C.; Yu, P.-C.; Song, Y.-H.; Luo, A., 2018, The Astrophysical Journal, 867, 78 

27. LAMOST Observations in the Kepler Field. II. Database of the Low-resolution Spectra from the Five-year Regular Survey, Zong, Weikai; Fu, Jian-Ning; De Cat, Peter; Shi, Jianrong; Luo, Ali*; and 17 coauthors, 2018, The Astrophysical Journal Supplement Series, 238, 30 

26. A New Hyper-runaway Star Discovered from LAMOST and Gaia: Ejected Almost in the Galactic Rotation Direction, Li, Yin-Bi; Luo, A.-Li*; Zhao, Gang; and 11 coauthors, 2018, The Astronomical Journal,156, 87 

25. Spectral Feature Extraction for DB White Dwarfs Through Machine Learning Applied to New Discoveries in the Sdss DR12 and DR14, Kong, Xiao; Luo, A.-Li*; Li, Xiang-Ru; and 3 coauthors, 2018, Publication of the Astronomical Society of the Pacific, 130, 4203 

24. A Focus on L Dwarfs with Trigonometric Parallaxes, Wang, Y.; Smart, R. L.; Shao, Z.; Jones, H. R. A.; Marocco, F.; Luo, A.; Burgasser, A.; Zhong, J.; Du, B., 2018, Publication of the Astronomical Society of the Pacific, 130, 4402 

23. White dwarf-main sequence binaries from LAMOST: the DR5 catalogue, Ren, J.-J.; Rebassa-Mansergas, A.; Parsons, S. G.; Liu, X.-W.; Luo, A.-L.; Kong, X.; Zhang, H.-T., 2018, Monthly Notices of the Royal Astronomical Society, 477,464 

22. Spectral classification and composites of galaxies in LAMOST DR4, Wang, Li-Li; Luo, A.-Li*;, and 11 coauthors, 2018, Monthly Notices of the Royal Astronomical Society, 474, 1873 

21. Carbon stars identified from LAMOST DR4 using Machine Learning, Yin-Bi Li; A-Li Luo*; and 28 coauthors, 2018, The Astrophysical Journal Supplement Series, 234,3132.

 20. Low-resolution near-infrared spectroscopic signatures of unresolved ultracool companions to M dwarfs, Cook, N. J.; Pinfield, D. J.; Marocco, F.; Burningham, B.; Jones, H. R. A.; Frith, J.; Zhong, J.; Luo, A. L, and 9 coauthors, 2017, Monthly Notices of the Royal Astronomical Society, 467, 5001 

19. A new automated spectral feature extraction method and its application in spectral classification and defective spectra recovery, Wang, Ke; Guo, Ping; Luo, A.-Li*, 2017, Monthly Notices of the Royal Astronomical Society, 465, 4311 

18. Adaptive stellar spectral subclass classification based on Bayesian SVMs, Du, Changde; Luo, Ali*; Yang, Haifeng, 2017, New Astronomy, 51,51 

17. Estimating stellar atmospheric parameters, absolute magnitudes and elemental abundances from the LAMOST spectra with Kern el-based Principal Component Analysis, Xiang, M.-S.; Liu, X.-W.; Shi, J.-R.; Yuan, H.-B.; Huang, Y.; Luo, A.-L. and 13 coauthors, 2017, Monthly Notices of the Royal Astronomical Society, 464,3657 

16. LAMOST Observations of Flaring M Dwarfs in the Kepler Field, Chang, H.-Y.; Song, Y.-H.; Luo, A.-L.; and 7 coauthors, 2017, The Astrophysical Journal, 834,92 

15. Exoplanet orbital eccentricities derived from LAMOST-Kepler analysis, Xie, Ji-Wei; Dong, Subo; Zhu, Zhaohuan; Huber, Daniel; Zheng, Zheng; De Cat, Peter; Fu, Jianning; Liu, Hui-Gen; Luo, Ali; and 8 coauthors, 2016, PNAS (Proceedings of the National Academy of Sciences), 11311431 

14. LAMOST Spectrograph Response Curves: Stability and Application to flux calibration, Du, Bing; Luo, A-Li*; Kong, Xiao; and 14 coauthors, 2016, The Astrophysical Journal Supplement Series, 227,27 

 13. Activity indicators and stellar parameters of the Kepler targets. An application of the ROTFIT pipeline to LAMOST-Kepler stellar spectra, Frasca, A.; Molenda-Żakowicz, J.; De Cat, P.; Catanzaro, G.; Fu, J. N.; Ren, A. B.; Luo, A. L.; Shi, J. R.; Wu, Y.; Zhang, H. T., 2016, Astronomy & Astrophysics, 594, 39

 12. A catalog of early-type emission-line stars and Hα line profiles from LAMOST DR2, Hou, Wen; Luo, A.-Li*; and 10 coauthors, 2016, Research in Astronomy and Astrophysics, 16,138

 11. Carbon Stars from LAMOST DR2 Data, Ji, Wei; Cui, Wenyuan; Liu, Chao; Luo, Ali; Zhao, Gang; Zhang, Bo 2016, The Astrophysics Journal Supplement Series ,226, 1 

10. LAMOST Observations in the Kepler Field. Analysis of the Stellar Parameters Measured with LASP Based on Low-resolution Spectra, Ren, Anbing; Fu, Jianning; De Cat, Peter; Wu, Yue; Yang, Xiaohu; Shi, Jianrong;  Luo, Ali; and 8 coauthors, 2016, The Astrophysics Journal Supplement Series, 225,28

 9. Nearby M subdwarfs from LAMOST data release 2, Bai, Yu; Luo, A.-Li*; and 23 coauthors, 2016, Research in Astronomy and Astrophysics, 16,107 

8. A Systematic Search for the Spectra with Features of Crystalline Silicates in the Spitzer IRS Enhanced Products, Chen, Rui; Luo, Ali*; Liu, Jiaming; Jiang, Biwei, 2016, The Astronomical Journal, 151, 146 

7. An Efficient Method for Rare Spectra Retri in Astronomical Databases, Du, Changde; Luo, Ali*; Yang, Haifeng; Hou, Wen; Guo, Yanxin, 2016, Publication of the Astronomical Society of the Pacific, 128,4502

 6. Identifying Carbon stars from the LAMOST pilot survey with the efficient manifold ranking algorithm, Si, Jian-Min; Li, Yin-Bi; Luo, A.-Li*; and 8 coauthors, 2015, Research in Astronomy and Astrophysics, 15,1671 

5. 19 low mass hypervelocity star candidates from the first data release of the LAMOST survey, Li, Yin-Bi; Luo, A.-Li*; Zhao, Gang; Lu, You-Jun; Wei, Peng; Du, Bing; Li, Xiang; Zhao, Yong-Heng; Han, Zhan-Wen; Wang, Bo; and 5 coauthors, 2015, Research in Astronomy and Astrophysics, 15,1364 

4. M Dwarf catalog of LAMOST general survey data release one, Guo, Yan-Xin; Yi, Zhen-Ping; Luo, A.-Li; Wang, You-Fen; Bai, Yu; Yang, Hai-Feng; Song, Yi-Han; Chen, Jian-Jun; Chen, Xiao-Yan; Zuo, Fang; and 12 Coauthors, 2015, Research in Astronomy and Astrophysics, 15,1182 

3. The first data release (DR1) of the LAMOST regular survey, Luo, A.-Li*; Zhao, Yong-Heng; Zhao, Gang and 142 coauthors, 2015, Research in Astronomy and Astrophysics, 15,1095 

2. Kinematics and activity of M dwarfs in LAMOST DR1, Yi, Zhen-Ping; Luo, A.-Li; Zhao, Jing-Kun; Song, Yi-Han; Pan, Jing-Chang; Zhao, Yong-Heng; Zhang, Yong, 2015, Research in Astronomy and Astrophysics, 15,860

 1. A large sample of metallic-line star candidates from LAMOST Data Release 1, Hou, Wen; Luo, Ali*; and 8 coauthors, 2015, Monthly Notices of the Royal Astronomical Society, 449, 1401