Daqing He

  • Professor
  • Associate Chair

Prof. He is interested in, and actively working on, various sub-topics areas of Information Retrieval and Natural Language Processing, which include adaptive and interactive information retrieval, text extraction and generation, and seeking and managing of information and data on the Web. The goal of Prof. He's research is to develop effective, efficient and friendly tools for people to access large, distributed, and heterogeneous information collections.

Prof. He has a secondary academic affiliation with the Intelligent Systems Program, an interdisciplinary academic unit focusing on research and education on Artificial Intelligence. He is the director of a research lab called Information Retrieval, Integration and Synthesis. He was the chair of SIS Council, the governing body for the iSchool, between 2012 and 2014. He currently serves on the editorial board of SCI/SSCI indexed journals “Information Processing and Management”, “Internet Research” and “Aslib Journal of Information Management”.

Institution of Highest Degree

  • University of Edinburgh, Ph.D.

Representative Publications

Xie, Bo, Daqing He, Tim Mercer, Youfa Wang, Dan Wu, Kenneth R. Fleischmann, Yan Zhang et al. "Global health crises are also information crises: A call to action." Journal of the Association for Information Science and Technology (2020).

Zou, Ning, Shaobo Liang, and Daqing He. "Issues and challenges of user and data interaction in healthcare-related IoT." Library Hi Tech (2020).

Meng, Rui, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, and Daqing He. "Does order matter? an empirical study on generating multiple keyphrases as a sequence." arXiv preprint arXiv:1909.03590 (2019).

Research Interests

Information retrieval (monolingual and multilingual)
Information access on the social web
Adaptive web systems and user modeling
Interactive retrieval interface design
Web log mining and analysis
Research data management

Research Grants

1. Development and Implementation of a Health e-Librarian with Personalized Recommender (HELPeR). NIH, Co-PI. 2019/09/05 – 2023/07/31. 1R01LM013038-01A1. $1,200,000.

2. Transferable, Controllable, Applicable Keyphrase Generation. Amazon Research Award. PI. 2020/08/01-2021/07/31