基本信息
张彦霞 女 博导 中国科学院国家天文台
电子邮件： zyx@bao.ac.cn
通信地址： 北京市朝阳区大屯路甲20A中国科学院国家天文台
邮政编码： 100101
研究领域
天文统计学和天文信息学；
机器学习和人工智能在天文中的应用；
时序天文学；
天文中的变源探测和研究；
星系和类星体的测光红移
招生信息
一级学科： 07理学-0704天文学
学科专业：07理学-0704天文学-070401天体物理
学科专业：07理学-0704天文学-070420天文技术与方法
招生方向：
天文统计学和天文信息学；
天文学中的数据挖掘和知识发现；
大数据的存储、管理和分析；
机器学习和人工智能在天文中的应用；
多波段天文学；
招生专业
070401-天体物理0704Z1-天文技术与方法
招生方向
天文信息学、天文统计学、天文大数据、机器学习、人工智能类星体、恒星、星系、多波段天文学
教育背景
2000-09--2003-07 国家天文台 博士学位1997-09--2000-06 河北师范大学 硕士学位1993-09--1997-06 河北师范大学 学士学位
专利与奖励
1：中国科学院国家天文台，天体光谱类型人眼识别及红移测量软件【间称：ASERA】V1.0，2014，登记号：2014SR036589
2：中国科学院国家天文台，大型天文数据融合系统V1.0，2015，登记号：2015SR260657
3：中国科学院国家天文台，大型天文数据自动入库平台V1.0，2015，登记号：2015SR11487
2016年度被评为首届“国际天文统计学会会士”。
奖励信息
（1） 国际天文统计学会会士, 一等奖, 专项, 2016
出版信息
主要论文发表：
Zhang,Yan-xia, Zhou, Xin-lin, Zhao, Yong-heng, Wu, Xue-bing, Statistical Study of 2XMMi-DR3/SDSS-DR8 Cross-correlation Sample, 2013,AJ, 145,4
Zhang,Yanxia, Zhao, Yongheng, Zheng, Hongwen, Wu, Xue-bing, Classification of Quasars and Stars by Supervised and Unsupervised Methods, 2013, Proceedings IAU Symposium 288, 333
Zhang, Yanxia, Li, Lili, Zhao, Yongheng, Morphology Classification and Photometric Redshift Measurement of Galaxies, 2009, MNRAS, 392,233-239
Zhang, Yanxia, & Zhao, Yongheng. “Automated clustering algorithms for classification of astronomical objects”, 2004, A&A, 422, 1113-1121
Zhang, Yanxia. “Research on Automatic Classification Methods in Multiwavelength Astrophysics”, 2004, PASP, 116, 184
Zhang, Yanxia, & Zhao, Yongheng. “Classification in Multidimensional Parameter Space: Methods and Examples”, 2003, PASP, 115, 1006-1018
Zhang, Yan-xia, & Zhao, Yong-heng. “Learning Vector Quantization for Astronomical Objects Classification”, 2003, ChJAA, 3, 183
Zhang, Yanxia, Zhao, Yongheng, “A Comparison of BBN, ADTree and MLP in separating Quasars from Large Survey Catalogues”，2007, ChJAA, 7, 289-296
Zhang, Yanxia, Zhao,Yongheng,Gao,Dan, Decision table for classifying point sources based on FIRST and 2MASS databases,2008, Advances in Space Research, Volume 41, Issue 12, p. 1949-195
Peng, Nanbo，Zhang Yanxia, Zhao Yongheng and Wu Xue-bing，Selecting Quasar Candidates by a SVM Classification System, 2012，MNRAS, 425, 2599
Wu Xue-Bing, Hao Guoqiang, Jia Zhendong, Zhang Yanxia and Peng Nanbo SDSS quasars in the WISE preliminary data release and quasar candidate selection with the optical/infrared colors, 2012，AJ, 144, 49
Gao, Dan, Zhang,Yanxia, Zhao,Yongheng, Random forest algorithm for classification of multiwavelength data, 2009, RAA,9, 220-226
Gao, Dan, Zhang, Yanxia, Zhao,Yongheng, Support vector machines and kd-tree for separating quasars from large survey data bases,2008,MNRAS, 386(3), pp. 1417-1425
Wang, Dan, Zhang, Yanxia, Liu, Chao, Zhao, Yongheng, Two Novel Approaches for Photometric Redshift Estimation based on SDSS and 2MASS,2008,ChJAA,8(1), pp. 119-126
Zhao, Yongheng, Zhang, Yanxia, Comparison of decision tree methods for finding active objects,2008, Advances in Space Research, Volume 41, Issue 12, p. 1955-1959
Zheng, Hongwen, Zhang, Yanxia, Feature selection for high-dimensional data in astronomy,2008, Advances in Space Research, Volume 41, Issue 12, p. 1960-1964
Wang Dan, Zhang, Yan-Xia et al., 2007, “Kernel Regression For Determining Photometric Redshifts From Sloan Broadband Photometry”, MNRAS, 382, 1601 -1606
Li, Lili, Zhang, Yanxia, Zhao, Yongheng, Yang, Dawei, “Estimating Photometric Redshifts with Artificial Neural Networks and Multi-parameters”，2007, ChJAA, 7, 448
Yan, Taisheng; Zhang, Yanxia; Zhao, Yongheng; Li, Ji, Exploration of SDSS stellar database by AutoClass, Science in China Series G, 2011, Vol. 54 (9): 1717-1726
Li, Lili, Zhang,Yanxia,Zhao,Yongheng,k-nearest neighbors for automated classification of celestial objects, 2008, Science in China, Series G,51(7), 916-922
Zhang, Bo, Li, Ji, Wang, Yue-Xiang, Zhang, Yan-Xia, et al., ”Two R-Process Components in Ultra-Metal-Poor Stars: The Neutron-Capture Element Distribution of CS 22892-052”, 2002, Ap&SS, 280, 325
Zhang, Bo, Zhang, Yan-xia, Li, Ji, Peng, Qiu-he, “A Statistical Model for Predicting the Average Abundance Patterns of the Heavier Elements in Metal-Poor Stars”, 2002, ChJAA, 2, 429
Zhang, Y.-X., Zhang, B., Li, J., et al., “The average abundance of heavy elements in metal-poor stars in different metallicity ranges”, 2001, ChA&A, 25, 187
Zhang, Bo, Zhang, Yan-Xia, Liu, Jun-Hong, et al., ”The abundance distribution of neutron-capture elements in metal-poor stars”, 2001, ChA&A, 25, 298
Zhang,Yan-xia, Zhou, Xin-lin, Zhao, Yong-heng, Wu, Xue-bing, Statistical Study of 2XMMi-DR3/SDSS-DR8 Cross-correlation Sample, 2013,AJ, 145,4
Zhang,Yanxia, Zhao, Yongheng, Zheng, Hongwen, Wu, Xue-bing, Classification of Quasars and Stars by Supervised and Unsupervised Methods, 2013, Proceedings IAU Symposium 288, 333
Zhang, Yanxia, Li, Lili, Zhao, Yongheng, Morphology Classification and Photometric Redshift Measurement of Galaxies, 2009, MNRAS, 392,233-239
Zhang, Yanxia, & Zhao, Yongheng. “Automated clustering algorithms for classification of astronomical objects”, 2004, A&A, 422, 1113-1121
Zhang, Yanxia. “Research on Automatic Classification Methods in Multiwavelength Astrophysics”, 2004, PASP, 116, 184
Zhang, Yanxia, & Zhao, Yongheng. “Classification in Multidimensional Parameter Space: Methods and Examples”, 2003, PASP, 115, 1006-1018
Zhang, Yan-xia, & Zhao, Yong-heng. “Learning Vector Quantization for Astronomical Objects Classification”, 2003, ChJAA, 3, 183
Zhang, Yanxia, Zhao, Yongheng, “A Comparison of BBN, ADTree and MLP in separating Quasars from Large Survey Catalogues”，2007, ChJAA, 7, 289-296
Zhang, Yanxia, Zhao,Yongheng,Gao,Dan, Decision table for classifying point sources based on FIRST and 2MASS databases,2008, Advances in Space Research, Volume 41, Issue 12, p. 1949-195
Peng, Nanbo，Zhang Yanxia, Zhao Yongheng and Wu Xue-bing，Selecting Quasar Candidates by a SVM Classification System, 2012，MNRAS, 425, 2599
Wu Xue-Bing, Hao Guoqiang, Jia Zhendong, Zhang Yanxia and Peng Nanbo SDSS quasars in the WISE preliminary data release and quasar candidate selection with the optical/infrared colors, 2012，AJ, 144, 49
Gao, Dan, Zhang,Yanxia, Zhao,Yongheng, Random forest algorithm for classification of multiwavelength data, 2009, RAA,9, 220-226
Gao, Dan, Zhang, Yanxia, Zhao,Yongheng, Support vector machines and kd-tree for separating quasars from large survey data bases,2008,MNRAS, 386(3), pp. 1417-1425
Wang, Dan, Zhang, Yanxia, Liu, Chao, Zhao, Yongheng, Two Novel Approaches for Photometric Redshift Estimation based on SDSS and 2MASS,2008,ChJAA,8(1), pp. 119-126
Zhao, Yongheng, Zhang, Yanxia, Comparison of decision tree methods for finding active objects,2008, Advances in Space Research, Volume 41, Issue 12, p. 1955-1959
Zheng, Hongwen, Zhang, Yanxia, Feature selection for high-dimensional data in astronomy,2008, Advances in Space Research, Volume 41, Issue 12, p. 1960-1964
Wang Dan, Zhang, Yan-Xia et al., 2007, “Kernel Regression For Determining Photometric Redshifts From Sloan Broadband Photometry”, MNRAS, 382, 1601 -1606
Li, Lili, Zhang, Yanxia, Zhao, Yongheng, Yang, Dawei, “Estimating Photometric Redshifts with Artificial Neural Networks and Multi-parameters”，2007, ChJAA, 7, 448
Yan, Taisheng; Zhang, Yanxia; Zhao, Yongheng; Li, Ji, Exploration of SDSS stellar database by AutoClass, Science in China Series G, 2011, Vol. 54 (9): 1717-1726
Li, Lili, Zhang,Yanxia,Zhao,Yongheng,k-nearest neighbors for automated classification of celestial objects, 2008, Science in China, Series G,51(7), 916-922
Zhang, Bo, Li, Ji, Wang, Yue-Xiang, Zhang, Yan-Xia, et al., ”Two R-Process Components in Ultra-Metal-Poor Stars: The Neutron-Capture Element Distribution of CS 22892-052”, 2002, Ap&SS, 280, 325
Zhang, Bo, Zhang, Yan-xia, Li, Ji, Peng, Qiu-he, “A Statistical Model for Predicting the Average Abundance Patterns of the Heavier Elements in Metal-Poor Stars”, 2002, ChJAA, 2, 429
Zhang, Y.-X., Zhang, B., Li, J., et al., “The average abundance of heavy elements in metal-poor stars in different metallicity ranges”, 2001, ChA&A, 25, 187
Zhang, Bo, Zhang, Yan-Xia, Liu, Jun-Hong, et al., ”The abundance distribution of neutron-capture elements in metal-poor stars”, 2001, ChA&A, 25, 298
指导学生
已指导学生
裴彤 硕士研究生 070420-天文技术与方法
彭南博 博士研究生 070420-天文技术与方法
张静怡 博士研究生 0704Z1-天文技术与方法
金鑫 硕士研究生 070401-天体物理
现指导学生
李长华 博士研究生 0704Z1-天文技术与方法
已毕业学生
高丹 2008年博士毕业
王丹 2007年博士毕业
钟守波 2015年硕士毕业
严太生 2009年硕士毕业
李丽丽 2007年硕士毕业
涂洋 2016年硕士毕业
马赫 2013年硕士毕业