QIU Xinying -School of Business

Personal Information	Gender: Female Nationality: China Research Interests: Text mining, Information Extraction, Information Retrieval
Courses Taught	MBA courses: Management Information Systems, Electronic Commerce Undergrad courses: Computer Science Overview, Information Retrieval
Educational History	PhD：The University of Iowa, US Management Information Systems Master：The University of Iowa, US Management Information Systems Bachelor：Shandong Normal University
Work Experience	Dr.Xin Ying Qiu is Associate Professor of Management Information Systems at Cisco School of Informatics, Guangdong University of Foreign Studies. Previously, she was Assistant Professor at Christopher Newport University , US . She received her Ph.D. from University of Iowa (2007), with research interest in information retrieval and text mining. She worked as Software Engineer at ONE Inc. Chicago after getting her master degree from the University of Iowa .
Research Outputs	Selected publications: [1] Qiu X Y, Srinivasan P, Hu Y. Supervised learning models to predict firm performance with annual reports: an empirical study[J]. Journal of the Association for Information Science and Technology, 2014, 65(2):400-413. (SCI, SSCI) [2] Qiu X Y, Jiang S, Deng K. Automatic Assessment of Information Disclosure Quality in Chinese Annual Reports [M] Natural Language Processing and Chinese Computing. Springer Berlin Heidelberg, 2013:288-298. (EI) [3] Balakrishnan R, Qiu X Y, Srinivasan P. On the predictive ability of narrative disclosures in annual reports[J]. European Journal of Operational Research, 2010, 202(3):789-801. (SCI) [4] Xinying Qiu, Kebing Deng, Shengyi Jiang, Likun Qiu, "Mining Quality Differences of Chinese Information Disclosure", ICIC Express Letters (Accepted) [5] 丘心颖，郑小翠，邓可斌. “分析师能有效发挥专业解读信息的作用吗？--基于汉字年报复杂性指标的研究”. 经济学（季刊），已录用。 Research projects: Dr. Qiu was one of the key developers of the US National Science Foundation Project “Text Meta Data Mining”. She is the PI of the Ministry of Education Project “On the Study of the Information Disclosure Quality of Chinese Publicly Traded Companies”, and the key participants of several provincial research projects.
Contact	Email: qiuxinying@gdufs.edu.cn