毛进
+
Personal Information
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):Mao Jin
- E-Mail:
- Date of Employment:2020-07-01
- Education Level:With Certificate of Graduation for Doctorate Study
- Gender:Male
- Professional Title:Associate professor
- Status:Employed
- Academic Titles:武汉大学信息管理科学系主任、数据智能研究院副院长
- Alma Mater:武汉大学
- Teacher College:School of Information Management
- Discipline:
Other specialties in Library and Information Studies and Archives Management;
Information science
- Honors and Titles
2018 elected:首批湖北省联合培养博士后青年创新人才
2018 elected:湖北省“楚天学者”计划楚天学子
2018 elected:第四届中国科协青年人才托举工程（2018-2020）
2019 elected:中国科技情报学会青年情报科学家
2019 elected:中国科学技术情报学会情报工程创新团队
- [101]. Yaxue Ma, Jin Mao*, Gang Li. Location recommendation by combining geographical, categorical, and social preferences with location popularity. Proceedings of the Association for Information Science and Technology. 2019.
- [102]. Jin Mao*, Ji Zhang, Kun Lu, Gang Li. Understanding the relevance between text and images in disaster‐related social media posts. Proceedings of the Association for Information Science and Technology. 2019.
- [103]. Mao J, Lu K, Zhao W, et al. How many keywords do authors assign to research articles–a multi-disciplinary analysis?. iConference 2018 Proceedings. 2018.
- [104]. Moore L, Mao J, Blank C, Ackerman M, Hong Cui. (2016). Automated Text Mining of Prokaryotic Phenotypic Characters using MicroPIE.. The annual American Society for Microbiology general meeting. 2016.
- [105]. Mao J, Moore L, Blank C, Cui H. 2016. An Information Extraction Tool for Microbial Characters. Proceedings of iConference 2016. 2016.
- [106]. Lu K., Mao J., & Li G. (2015, December). Enhancing Subject Metadata with Automated Weighting in the Medical Domain: A Comparison of Different Measures.. In International Conference on Asian Digital Libraries . 2015.
- [107]. Mao J, & Lu K. (2014). Leverage the associations between documents, subject headings and terms to enhance retrieval.. In Proceedings of the Seventh International Workshop on Exploiting Semantic Annotations in Information Retrieval(ESAIR’2014). 2014.
- [108]. Li G, Mao J. Mining document, concept and term associations for effective retrieval.. 第20届海峡两岸信息管理发展与策略研讨会，武汉. 2014.
- [109]. Lu K., & Mao J. (2013). Automatically Infer Subject Terms and Documents Associations through Text Mining.. ASIST Annual meeting 2013. 2013.