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Fei Li
Office: 4945 BBBB, 2260 Hayward Street |
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About Me:I obtained Ph.D. from University of Michigan. My advisor is Professor H. V. Jagadish at the Database Group. My research interests focus on Database Usability, especially, how to enable non-technical users to compose logically complex queries.Projects:NaLIR is a generic interactive natural language interface for querying relational databases. It is able to handle even quite complex queries in a variety of application domains, and the carefully designed interactive communications can avoid misinterpretation with minimum user burden.Schema-free SQL is a framework that enables users to specify queries over relational databases without requiring full knowledge of the schema. Schema-free SQL respects whatever specifications are given, all the way from a little more than keywords to full SQL. Approximate XML Joins (undergraduate): Various approaches are proposed to enhance the efficiency and accuracy in approximate XML joins, e.g. hash-based methods, transformation-based methods and filter-refinement mechanisms. Publications:Icorating: A deep-learning system for scam ico identification.S. Bian, Z. Deng, F. Li, W. Monroe, P. Shi, Z. Sun, W. Wu, S. Wang, W. Wang, A. Yuan, T. Zhang, J. Li arXiv:1803.03670, 2018. Understanding Natural Language Queries over Relational Databases. F. Li and H. V. Jagadish SIGMOD Records, 2016 (Research Highlights). Constructing an Interactive Natural Language Interface for Relational Databases. F. Li and H. V. Jagadish VLDB, 2015 (Best Paper Award). Schema-Free SQL. F. Li, T. Pan, and H. V. Jagadish SIGMOD, 2014. NaLIR: An Interactive Natural Language Interface for Querying Relational Databases. F. Li and H. V. Jagadish SIGMOD (demo), 2014. Approximate XML Joins at Label Level. F. Li, H. Wang, L. Hao, J. Li and H. Gao Information Science, 2014. A Survey on Tree Edit Distance Lower Bound Estimation Techniques for Similarity Join on XML Data. F. Li, H. Wang, J. Li and H. Gao SIGMOD Record, 2013. Usability, Databases, and HCI. F. Li and H. V. Jagadish IEEE Data Eng. Bull, 2012. Efficient Algorithms for Identification of Similarity XML Fragments based on Tree Edit Distance. H. Wang, J. Li and F. Li XML Data Mining: Models, Methods, and Applications, Andrea Tagarelli, 2012. Approximate XML Joins Using g-String. F. Li, H. Wang, C. Zhang, L. Hao, J. Li and H. Gao VLDB workshop - XSym, 2010. pq-Hash: An Efficient Method for Approximate XML Joins. F. Li, H. Wang, L. Hao, J. Li and H. Gao WAIM workshop - XMLDM, 2010. | |||