【General Information】
Department：Department of Software Engineering, Chengdu University of Information Technology
Professional Title：Lecture / Assistant Professor (under US System)
Birth Date：August, 1984
E-Mail：yaqwang@cuit.edu.cn
Mobile Phone Num.：13880989372
QQ Num.：52816860
Website：www.peeryair.com
【Personal Introduction】
Yaqiang Wang, Member of Communist Party of China. He received his PhD degree in 2013 from College of Computer Science, Sichuan University. His MS and BS degree were obtained from Sichuan University in 2010 and CUIT in 2007, respectively. He joins Chengdu University of Information Technology in 2014. He is a member of Association for Computational Linguistics (from 2012), a member of China Computer Federation (from 2016) and a member of the Sichuan Youth Science and Technology Innovation Group on Informatization Support Software and Data Mining (from 2014). He is also a reviewer of several top tier journals, such as Journal of Biomedical Informatics (Recognition Reviewer, SCI Indexed, IF: 2.447), Journal of Cheminformatics (SCI Indexed, IF: 3.95), BMC Complementary and Alternative Medicine (SCI Indexed, IF: 1.987), etc. In November 2014, he got an Outstanding Reviewer honor from Journal of Biomedical Informatics.
Yaqiang has published over 20 papers in his research domains. His 5 first author papers have more than 38 citations by Google Scholar. In recent years, he chaired or participated in six national, provincial and departmental projects.
【Research Interests】
Recently, his main research interests focus on:
1. Statistical Natural Language Processing: Information Extraction and Semantic Analysis
2. Statistical Machine Learning: Weakly Supervised Learning
3. Biomedical Informatics: Medical Text Analysis and Processing
【Projects】
1. Research on Fine-Grained Medical Entity Recognition from Clinical Records of Traditional Chinese Medicine based on Weakly Supervised Learning (61501063). Supported by The Young Scientists Fund of NSFC (2016.01 - 2018.12, PI)
2. Research on Key Techniques of SOA-based Domain Big Data Analysis Development Platform (2016Z070). Supported by Science and Technology Department of Sichuan Province (2016.04 - 2019.04, PI)
3. Research on Industry-Oriented Large-Scale Open Chinese Entity Relation Extraction Methods (15ZB0177). Supported by the Education Department of Sichuan Province (2015.01 - 2016.12, PI)
4. Project of the Sichuan Youth Science and Technology Innovation Group on Informatization Support Software and Data Mining (15ZB0177). Supported by Science and Technology Department of Sichuan Province (2014.01 - 2016.12, Project Member)
5. Research on Comprehensive Evaluation System of Electronic Health Records based on DeLone & McLean schema (71273182). Supported by NSFC (2012.01 - 2015.12, Project Member)
【Completed Projects】
1. Research on Low-Rank Decomposition of L1 Norm Matrix based on Dynamic System and Its Applications (61173182). Supported by NSFC (2012.01 - 2015.12, Project Member)
【Publications】
1. Yaqang Wang, Zhonghua Yu, Li Chen, Yunhui Chen, Yiguang Liu, Xiaoguang Hu, Yongguang Jiang. Supervised methods for symptom name recognition in free-text clinical records of traditional Chinese medicine: an empirical study. Journal of Biomedical Informatics, 2014, 47:91-104. (SCI Indexed, IF: 2.447, CAS 2 Level)
2. Yaqiang Wang, Yiguang Liu, Zhonghua Yu, Li Chen, Yongguang Jiang. A preliminary work on symptom name recognition from free-text clinical records of traditional Chinese medicine using conditional random fields and reasonable features. In Proceedings of the 2012 Workshop on Biomedical Natural Language Processing (BioNLP), pp.223-230. (Important International Conference in Biomedical Natural Language Processing）
3. Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Yongchao Liu, Li Chen, Yiguang Liu. A framework and its empirical study of automatic diagnosis of traditional Chinese medicine utilizing raw free-text clinical records. Journal of Biomedical Informatics, 2012, 45(2):210-223. (SCI Indexed, IF: 2.447, CAS 2 Level)
4. Yaqiang Wang, Zhonghua Yu, Yongguang Jiang, Kaikuo Xu, Xia Chen. Automatic symptom name normalization in clinical records of traditional Chinese medicine. BMC Bioinformatics, 2010, 11(1):40. (SCI Indexed, IF: 2.435, CAS 2 Level)
5. Yaqiang Wang, Hui Jin, Zhonghua Yu, Yongguang Jiang, Xuehong Zhang. Analysis of symptom groups in TCM based on association rules. Journal of Sichuan University (National Science Edition), 2009, 46(6):1650-1654. (Chinese Core Journals)
【Honors and Awards】
1. Outstanding Reviewer，Journal of Biomedical Informatics
