I come from Harbin, which is a city Northeast of China. My hometown is a beautiful city famous for ice and snow. After graduating from the department of computer science in Harbin Institute of Technology (HIT), I was admitted to the PhD program at the National University of Singapore (NUS). I am glad that I came here to see more of the world outside.
Currently I am a PhD candidate supervised by Prof. Beng Chin OOI. I am in the beginning steps of research, and I am eager and prepared to meet all of the challenges with which I will undoubtedly be presented.
My research interests mainly focus on database issues, including indexing, query processing, data storage and other related topics in database systems. My current research topic is on database exploration, which is to design algorithms to analyze database instances to effciently and accurately discover database schema elements, such as keys, meaningful join paths, and implicit relationships inherent in the data. These information and relationships are undoubtedly an invaluable tool for many data-driven applications.
Meihui Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava. "Automatic Discovery of Attributes in Relational Databases". SIGMOD 2011, Athens, Greece.
Gang Chen, Chen Liu, Meiyu Lu, Beng Chin Ooi, Shanshan Ying, Anthony K. H. Tung, Dongxiang Zhang, Meihui Zhang. "A Cross-Service Travel Engine for Trip Planning". SIGMOD 2011, Athens, Greece. (Demo)
Meihui Zhang, Marios Hadjieleftheriou, Beng Chin Ooi, Cecilia M. Procopiuc, Divesh Srivastava. "On Multi-Column Foreign Key Discovery". VLDB 2010, Singapore.
Meihui Zhang, Su Chen, Christian Jensen, Beng Chin Ooi and Zhenjie Zhang. "Effectively Indexing Uncertain Moving Objects for Predictive Queries". VLDB 2009, Lyon, France.
MarcoPolo: A Community System for Sharing and Integrating Travel Information on Maps
Marcopolo is designed as a cross-service travel engine for trip planners. The system seamlessly and semantically integrates various types of travel services and resources. A user-friendly visualization tool is being developed for travelers to conveniently browse and design the personal itineraries on the Google Maps.
Attributes Discovery in Relational Databases [SIGMOD2011]
AT&T Labs, New Jersey, U.S., May 2010 – Aug. 2010
This work is to cluster relational columns into attributes, i.e., to identify strong relationships between columns based on the common properties and characteristics of the values they contain.
On Multi-Column Foreign Key Discovery [VLDB2010]
AT&T Labs, New Jersey, U.S., June 2009 – Sep. 2009
This work proposes a robust algorithm for discovering single-column and multi-column foreign keys in relational databases.
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