Yue (Ray) Wang

Assistant Professor, UNC School of Information and Library Science
(919) 966-5042
Manning Hall 07B
Pronouns: He/Him/His

Faculty Expertise:

Text data mining, including related areas such as machine learning, information retrieval, natural language processing, social and information network mining, and health informatics

BS (Information Security) and BA (English), Shanghai Jiao Tong University
MS (Computer Applied Technology), Shanghai Jiao Tong University
MS (Electrical and Computer Engineering), Georgia Institute of Technology, GT-Shanghai Campus, China
PhD (Comptuer Science and Engineering), University of Michigan, Ann Arbor

Yue Wang is interested in text data mining and machine learning with applications in health informatics. His dissertation focuses on developing principled interactive machine learning approaches that reduce human analysts' information processing workload. His work is motivated by and applied to various data mining problems, including high-recall information retrieval, clinical natural language processing, and qualitative content analysis. He publishes in both computer science and health informatics venues, including KDD, SIGIR, WSDM, and JAMIA. He and his collaborators won first place in the TREC 2013 Microblog Track, and he received the Best Paper Award and Outstanding Reviewer Award in WSDM 2016.

Awards and Recognition:
WSDM Best Paper Award (2016)
WSDM Outstanding Reviewer Award (2016)
Dow Distinguished Award for Interdisciplinary Sustainability (2015)

Selected Publications:
Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei. Interactive Medical Word Sense Disambiguation with Informed Learning. Journal of American Medical Informatics Association (JAMIA) 2018. Accepted on Jan. 29, 2018.

Xinning Gui, Yue Wang, Yubo Kou, Tera Reynolds, Yunan Chen, Qiaozhu Mei, Kai Zheng. Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak. In American Medical Informatics Associa-
tion Annual Symposium Proceedings (AMIA'17), Nov. 4-8, 2017, Washington, DC.

Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei. End-to-end Learning for Short Text Expansion. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), pages 1105-1113.eedings (AMIA'17), Nov. 4-8, 2017, Washington, DC.

Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei. Clinical Word Sense Disambiguation with Interactive Search and Classi cation. In American Medical Informatics Association 2016 Annual Symposium Proceedings (AMIA'16), pages 2062-2071. PMID: 28269966

Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei. Beyond Ranking: Optimizing Whole-Page Presentation. In Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM'16), pages 103-112, 2016. [Best Paper Award]