Wei Wang

Department of Computer Science
Rutgers University
110 Frelinghuysen Road
Piscataway, NJ 08854-8019
ww@cs.rutgers.edu

(732) 445-6450 x4634 (Lab Phone)

Lab/Office: CoRE 340 - PANIC-Lab


About Me

I am currently an active member of the PANIC Lab in the Department of Computer Science at Rutgers University in New Jersey. My advisor is Dr. Amélie Marian.


Selected Publications

Unified Structure and Content Search for Personal Information Management Systems
Wei Wang, Amélie Marian, Thu D. Nguyen.
In Proceedings of the 14th International Conference on Extending Database Technology (EDBT), March 2011.
Paper: PDF (187KB)
Flexible Querying of Personal Information
Amélie Marian, Wei Wang.
In IEEE Data Engineering Bulletin. 32(2): 20-27 (2009).
Paper: PDF (90KB)
Fuzzy Multi-Dimensional Search in the Wayfinder File System
Christopher Peery, Wei Wang, Amélie Marian, Thu D. Nguyen.
In Proceedings of the 24th International Conference on Date Engineering (ICDE - Demo Track), April 2008.
Paper: PDF (187KB)
Poster: PDF (318KB),Powerpoint (1,881KB)
Multi-Dimensional Search for Personal Information Management Systems
Christopher Peery, Wei Wang, Amélie Marian, Thu D. Nguyen.
In Proceedings of the 11th International Conference on Extending Database Technology (EDBT), March 2008.
Paper: PDF (236KB)

Submitted for Publication

Efficient Multi-Dimensional Query Processing in Personal Information Management Systems
Wei Wang, Christopher Peery, Amélie Marian, Thu D. Nguyen.
Technical Report version (DCS-TR-627, Department of Computer Science, Rutgers University, April 2008).
Abstract: PDF (10KB)
Report: PDF (283KB)

Personal Search Tool

We have built a search prototype for ranked retrieval of personal data (e.g., email, ebook, academic document, music, picture files). It is based on our works on the multi-dimensional search, and unified structure and content search.

Screenshot

Snapshot of the personal search toolClick to enlarge.

The above screenshot shows the graphical user interface and search results for an example unified (structure and content) query condition together with other query conditions from the metadata dimension (i.e., modification time, file type).