Funding for this research was provided by:
National Natural Science Foundation of China (61602013)
Shenzhen Key Fundamental Research Projects (JCYJ2015030154330711, JCYJ20170818091546869)
Article History
Received: 17 April 2018
Accepted: 30 July 2018
First Online: 10 August 2018
Authors’ information
: Ying Shen is now an Assistant Research Professor in School of Electronics and Computer Engineering (SECE) at Peking University. She received her Ph.D. degree from the University of Paris Ouest Nanterre La Défense (France), specialized in Medical & Biomedical Information Science. She received her Erasmus Mundus Master degree in Natural Language Processing from the University of Franche-Comté (France) and University of Wolverhampton (England). Her research interest is mainly focused in the area of Medical Informatics, Natural Language Processing and Machine Learning. Daoyuan Chen received the BS degree in computer science from University of Electronic Science and Technology of China, in 2016. He is working toward the MS degree in computer science at Peking University. His research interest is mainly focused in the area of deep learning and knowledge graph. Buzhou Tang is now an Associate Professor in School of Computer Science and Technology at Harbin Institute of Technology. He received his Ph.D. degree and master degree from the Harbin Institute of Technology (China), specialized in Natural Language Processing. He received his bachelor degree in Computer Science from the Jilin University (China). His research fields include Artificial Intelligence, Machine Learning, Data Mining, Natural Language Processing and Biomedical Informatics. Min Yang is currently an Assistant Research Professor with the Shenzhen Institutes of Advanced Technology, Chinese Academy of Science. She received her Ph.D. degree from the University of Hong Kong in February 2017. Prior to that, she received her B.S. degree from Sichuan University in 2012. Her current research interests include machine learning, deep learning and natural language processing. Kai Lei received the Ph.D. in C.S. from Peking University, China, in 2015, M.Sc in C.S. from Columbia University in 1999 and B.Sc in C.S. from Peking University in 1998. He had worked for companies including IBM T.J Waston Research Center, Citigroup, Oracle, Google from 1999 to 2004. He currently is an associate professor in the School of Electonic and Computer Engineering (SECE), Peking University, Shenzhen, and participates in the CENI project supported by National Development and Reform Commission since 2016. His research interests include, knowledge graph, big data technologies and named data networking.
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: The authors declare that they have no competing interests.
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