CHEN Su 陈诉

Department of Computer Science
School of Computing
National University of Singapore
Computing 1, Law Link, Singapore 117590
Email: chensu at comp.nus.edu.sg


General Info.

I was honored to join NUS in July, 2005. Currently, I'm a PhD candidate in the Department of Computer Science, NUS., supervised by Prof. Ooi Beng Chin. My research majors in database managements. I'm a member of NUS Database Group. From 2001 to 2005, I studied in Fudan University, Shanghai, China and got my B.S. degree from the Department of Computer Science and Engineering.





Research

My research interests are mainly in spatial and temporal databases, especially the moving object databases. My current research includes location aware services, geographic information systems, indexing and query processing on spatio-tempoal data in different circumstances. With the popularity of online map service and web 2.0 stuffs, managing and manipulating spatial and spatio-temporal data on the web becomes an attractive and new area.


Project

SpADE:A SPatio-temporal Autonomic Database Engine for location-aware services

The objectives of the project are to review the requirement for moving object applications, and propose various techniques that could be used to provide both effective and efficient database support for LBS.

We have built an operable system (version 1) for moving objects on the top of a popular relational database system MySQL. By making use of the well tested and robust B+-tree available in the MySQL, our implementation enables this relational database engine to effectively store moving object information after transformation. The indexes provide the most effective means in reducing the search cost and the overall query processing cost. The B-link tree provides a good degree of concurrency for the B+-tree, and unlike the R-tree based indexes, our indexes do not incur high update overhead (and hence lock contention)! Query processing strategies are subsequently developed around these indexes. User-specified spatial-temporal queries are converted into standard SQL statements which are efficiently processed in the relational engine. Most importantly, all these have been achieved neatly and cost effectively without altering too much of MySQL core.

 
MacroPolo: A Community System for Sharing and Integrating Travel Information in Maps

MarcoPolo, a Web 2.0 community system that allows users to label various kinds of resources with tags, and mark them to the map simply by labelling them with user-defined hierarchical geo-tags. The MarcoPolo system provides two effective interfaces for users to browse and search the resources: one is the keyword-based interface and the other is the map-based interface.

"I believe it was God's will that we should come back, so that men might know the things that are in the world, since, as we have said in the first chapter of this book, no other man, Christian or Saracen, Mongol or pagan, has explored so much of the world as Messer Marco, son of Messer Niccolo Polo, great and noble citizen of the city of Venice. "

--Macro Polo
CoSpace: On Bridging the Real World and Cyber Worlds

CoSpace is a system which automatically discovers relevant information from different domains, e.g., web pages, images, google maps and etc. It maps objects from different domains into a unique virtual domain and uses a unified representation for all objects. It can support cross-domain similarity search effectively.


Experiences

AT&T Labs, New Jersey, U.S.
- Summer Intern, Jul. - Oct. 2008, 2009
Studied problem of data quality and data clean. Developed mechanisms and algorithms for preventing unintended updates on a database. Implemented a prototype for experimental usage.


Publication

Su Chen, Xin Luna Dong, Laks V.S. Lakshmanan, Divesh Srivastava. We Challenge You to Certify Your Updates, accepted by 31th International Conference on Management of Data (SIGMOD), Athens, Greece, 2011.

Su Chen, Beng Chin Ooi, Zhenjie Zhang. An Adaptive Updating Protocol for Reducing Moving Object Database Workload. In Proceedings of the VLDB Endowment (PVLDB), pages 735-746, volume 3, number 1, 2010

Su Chen, Mario A. Nacismento, Beng Chin Ooi, Kian-Lee Tan. Continuous Online Index Tuning in Moving Object Databases. ACM Transactions on Database Systems (TODS), Volume 35, Number 3, 2010.

Meihui Zhang, Su Chen, Christian S. Jensen, Beng Chin Ooi, Zhenjie Zhang. Effectively Indexing Uncertain Moving Objects for Predictive Queries. 35th International Conference on Very Large Data Bases (VLDB), Auguest 24-28, 2009 Lyon, France.

Su Chen, Dan Lin, Christian S. Jensen. A Benchmark for Evaluating Moving Objects Indexes. 34th International Conference on Very Large Data Bases (VLDB), Auguest 23-28, 2008, Auckland, New Zealand. [slides] [code]

Su Chen, Beng Chin Ooi, Kian-Lee Tan, Mario A. Nacismento. ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree for Moving Objects. ACM SIGMOD Int'l. Conference on Management of Data (SIGMOD), page 29-42, June 9–12, 2008, Vancouver, BC, Canada. [slides] [Technique Report]

[Demo Paper] Y. Chen, S. Chen, Y. Gu, M. Hui, F. Li, C. Liu, L. Liu, B. C. Ooi, X. Yang, D. Zhang, and Y. Zhou: MarcoPolo: A Community System for Sharing and Integrating Travel Information on Maps. 12th International Conference on Extending Database Technology (EDBT), Saint-Petersburg, Russia, 2009. [slides]


Links

 

Last Modified: Thursday Nov-24-2011 15:39:56 SGT