Yuan An, Ph.D.
Title: Site Managing Director, CVDI; Associate Professor in the College of Computing and Informatics, Drexel University
Ph.D. - Computer Science
University of Toronto
(2001 - 2007)
M.Cs. - Computer Science
(1999 - 2001)
ME - Systems Engineering
BE - Automation
I earned my Ph.D. degree in Computer Science from the University of Toronto in April 2007. My supervisors were Prof. John Mylopoulos and Prof. Alex Borgida. I studied data semantics and knowledge management in information systems. I developed a framework of capturing semantics for database schemas in terms of conceptual models and using the semantics to facilitate information integration. From May 2007 to August 2007, I worked as postdoctoral fellow in the Department of Computer Science at the University of Toronto, and my research interests were expanded to Data Integration in Life Sciences and Healthcare. In September of 2007, I joined the former College of Information Science and Technology at Drexel University in Philadelphia as an Assistant Professor. In September of 2013, I was promoted to Associate Professor with tenure in the newly formedCollege of Computing and Informatics at Drexel University.
From 1999 to 2001, I studied in the Faculty of Computer Science at Dalhousie University, Canada. Under the supervision of Prof. Evangelos Milios and Prof. Jeannette C.M. Janssen. I studied the problem of characterizing and mining the citation graph of computer science literature. I developed a web robot for extracting the citation graph from citeseer and applied graph-theoretic algorithms for pattern discovery. We obtained some interesting results! I earned my Master’s degree in Computer Science in 2001.
Eearlier, I attended the Tsinghua University in Beijng, China, and obtained a Bachelor’s and a Master’s Degree from the Department of Automation, in 1987 and 1989, respectively. I worked in Beijing SIWA Inc. serving as technical staff, department manager, and vice president until 1999.
Yuan Ling, Yuan An, Mengwen Liu, Sadid Hasan, Yetian Fan, and Xiaohua Hu: Integrating Extra Knowledge into Word Embedding Models Via Graph Regularization. The 2017 International Joint Conference on Neural Networks (IJCNN 2017). Anchorage, Alaska, USA, May 14-19, 2017. (pdf)
Yuan Ling, Yuan An, and Sadid Hasan. Improving Clinical Diagnosis Inference through Integration of Structured and Unstructured Knowledge. The first workshop on Sense, Concept and Entity Representations and their Applications (SENSE), co-located with The 15th European Chapter of the Association for Computational Linguistics (EACL 2017), April 3-7, 2017, Valencia, Spain. (pdf)
Jian Wang, Honglei Li, Yuan An, Hongfei Lin, Zhihao Yang: Biomedical event trigger detection based on convolutional neural network. IJDMB 15(3): 195-213 (2016)
Jian Wang, Jianhai Zhang, Yuan An, Hongfei Lin, Zhihao Yang, Yijia Zhang and Yuanyuan Sun. Biomedical event trigger detection by dependency-based word embedding.BMC Medical Genomics. 2016 9(Suppl 2):45. Published: 10 August 2016.
Jian Wang, Jianhai Zhang, Yuan An, Hongfei Lin, Zhihao Yang, Yijia Zhang, Yuanyuan Sun. Biomedical event trigger detection by dependency-based word embedding.BIBM 2015: 429-432
Christophe Debruyne, Herve Panetto, Robert Meersman, Tharam S. Dillon, Georg Weichhart, Yuan An, Claudio Agostino Ardagna. On the Move to Meaningful Internet Systems: OTM 2015 Conferences – Confederated International Conferences: CoopIS, ODBASE, and C&TC 2015. Rhodes, Greece, October 26-30, 2015, Proceedings. Lecture Notes in Computer Science 9415, Springer 2015, ISBN 978-3-319-26147-8.
Mengwen Liu, Yuan An, et al. Constraint Multi-Instance Multi-Label Model for Distant Supervision of Biomedical Relation Extraction. IEEE IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2015
Anton Slutsky, Xiaohua Hu, Yuan An. Learning Focused Hierarchical Topic Models with Semi-Supervision in Microblogs. PAKDD 2015.
Yue Shang, Wanying Ding, Haohong Wang, Lifan Guo, Mengwen Liu, Xiaoli Song, Xiaohua Hu, Yuan An. Scalable User Intent Mining using a Multimodal Restricted Boltzmann Machine. International Conference on Computing, Networking and Communications(ICNC 2015), Anaheim, California, USA, 2015
Yuan Ling, Xingpeng Jiang, Yuan An, Xiaohua Hu. Data Exploration and Visualization of Risk Factors for Heart Disease from Medical Documents Using Non-Negative Matrix Factorization (NMF). Seventh i2b2 Shared Task and Workshop, Washington DC. November14, 2014.
Yuan Ling, Yuan An, Xiaohua Hu. A Matching Framework for Modeling Symptom and Medication Relationships from Clinical Notes. In the IEEE Conference on Bioinformatics and Biomedicine (BIBM14), pages 515-520. (pdf)
Mengwen Liu, Yuan Ling, Yuan An, Xiaohua Hu, Alan Yagoda, and Rick Misra, Relation Extraction from Biomedical Literature with Minimal Supervision and Grouping Strategy. In the IEEE Conference on Bioinformatics and Biomedicine (BIBM14), pages 444-449. (pdf)
Yizhou Zang, Yuan An, and Xiaohua Hu. Automatically Recommending Healthy Living Programs to Patients with Chronic Diseases through Hybrid Content-Based and Collaborative Filtering. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2014, Belfast, UK, pages 578-582. (pdf)
Lin, X. Zhang, M. Shang, Y., and An, Y.. An ontology and brain-model-based semantic discovery and visualization system. Paper to be presented at Cognitive’2014: The sixth International Conference on Advanced Cognitive Technologies and Applications. May 25-29, 2014. (pdf) (Best Paper Award)
I. Burstyn, A. Slutsky, DG. Lee, AB Singer, Y. An, YL. Michael. Beyond crosswalks: Reliability of exposure assessment following automated coding of free-text job descriptions for occupational epidemiology. The Annals of Occupational Hygiene, 2014, 58 (4): 482-492.
Anton Slutsky, Xiaohua Hu, Yuan An. Hash-based Stream LDA: Topic Modeling in Social Streams. PAKDD (1) 2014: 151-162, Taiwan.
For a full list of Dr. An’s publications, please visit http://cci.drexel.edu/faculty/yan/
- Novel Methods for Data Integration and Information Extraction over Complex Heterogeneous Data 7a.007.DU
- Deep Neural Embeddings for Knowledge & Association Graph Based Question Answering 6a.013.DU
- Novel Methods for Hidden Relation and Error Detection
- Semantic Information Extraction, Integration, and Visualization for Big Data Analytics
- Multi-Industry Semantic Discovery Tool Sets for Data Integration, Data Warehousing, and E-Science