近邻星系，星系团，银河系星团及银河系结构，大规模巡天，天文数据处理
邹虎，男，1984年出生，湖南娄底人，中国科学院国家天文台巡天观测和三十米望远镜研发团组研究员。主要从事星系形成演化研究和大规模测光及光谱巡天。主持和参与了多项国家自然科学基金项目和973项目，发表研究论文80多篇。研究方向包括银河系星团和潮汐星流、近邻星系、星系 形成及演化和星系团等。先后负责了国内最大的两个图像巡天项目：南银冠u波段巡天和北京-亚利桑那巡天（BASS）。深度参与了斯隆巡天（SDSS-IV）和暗能量光谱巡天（DESI）。目前是SDSS IV的正式成员和DESI项目董事会成员。参与中国空间站巡天望远镜的数据系统研制并负责主巡天测光工作。参与南极台址监测，获得江苏省科学技术奖三等奖。参与LAMOST早期巡天，发表首批星系研究课题。
Hu Zou, Jinghua Gao, Xu Zhou, et al., Photometric Redshifts and Stellar Masses for Galaxies from the DESI Legacy Imaging Surveys, The Astrophysical Journal Supplement Series, 2019, 242 (1) , 8
Hu Zou, Jinghua Gao, Xin Xu, et al., Galaxy Clusters from the DESI Legacy Imaging Surveys. I. Cluster Detection, The Astrophysical Journal Supplement Series, 2021, 253 (2) , 56
Hu Zou, Xu Zhou, Xiaohui Fan, et al., The Third Data Release of the Beijing-Arizona Sky Survey, The Astrophysical Journal Supplement Series, 2019, 245 (1) , 4
Hu Zou, Xu Zhou, Xiaohui Fan, et al., Project Overview of the Beijing-Arizona Sky Survey, Publications of the Astronomical Society of the Pacific, 2017, 129 (976) , 064101
Chi Huang, Hu Zou, Xu Kong, et al., The Mass-Metallicity Relation at z ～ 0.8: Redshift Evolution and Parameter Dependency, The Astrophysical Journal, 2019, 886 (1) , 31 Hu Zou, Xu Zhou, Zhaoji Jiang, et al., South Galactic Cap u-band Sky Survey (SCUSS): Data Release, The Astronomical Journal, 2016, 151 (2) , 37
Hu Zou, Xu Zhou, Zhaoji Jiang, et al., Sky Brightness and Transparency in the i-band at Dome A, Antarctica, The Astronomical Journal, 2010, 140 (2) , 602-611
Hu Zou, Wei Zhang, Yanbin Yang, et al., Stellar Population Properties and Evolution Analysis of NGC 628 with Panchromatic Photometry, The Astronomical Journal, 2011, 142 (1) , 16
Hu Zou, Yan-Bin Yang, Tian-Meng Zhang, et al., Kinematics and stellar population properties of the Andromeda galaxy by using the spectroscopic observations of the Guoshoujing Telescope, Research in Astronomy and Astrophysics, 2011, 11 (9) , 1093-1110
Hu Zou, Zhen-Yu Wu, Jun Ma, et al., The tidal tails of globular cluster Palomar 5 based on the neural networks method, Research in Astronomy and Astrophysics, 2009, 9 (10) , 1131-1148