Zaiben Chen

PhD Candidate
School of Information Technology & Electrical Engineering
The University of Queensland
Brisbane QLD 4072 AUSTRALIA

Contact
Office: Room 636, Building 78, St Lucia Campus (map)
Tel: +61-7-3365-7142
Email: zaiben@itee.uq.edu.au



General Information
Zaiben Chen is a PhD student of Data and Knowledge Engineering Research Group, School of Information Technology & Electrical Engineering at the University of Queensland. He is currently working on Spatial-Temporal Databases with Dr. Heng Tao Shen and Prof. Xiaofang Zhou. He got both his bachelor and master degree from Tsinghua University, China in 2005 and 2007 respectively.

Research Interests
  • Spatial Temporal Databases
  • Mobile Peer-to-Peer Networks
  • Trajectory Search


  • Publications
  • Zaiben Chen, Heng Tao Shen, Xiaofang Zhou and Jeffrey Xu Yu. "Monitoring Path Nearest Neighbor in Road Networks". In proceedings of 28th ACM International Conference on Management of Data (SIGMOD), pages 591-602, 2009.
  • Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou and Yafei Dai. "Hybrid Information Retrieval Policies Based on Cooperative Cache in Mobile P2P Networks". Frontiers of Computer Science in China, Vol. 3, No. 3, pages 381-395.2009.
  • Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou and Yafei Dai. "Hybrid Retrieval Mechanisms in Vehicle-based P2P Networks". In Proceedings of 9th International Conference on Computational Science (ICCS), pages 303-314 2009.
  • Zaiben Chen, Heng Tao Shen, Quanqing Xu and Xiaofang Zhou. "Instant Advertising in Mobile Peer-to-Peer Networks". In Proceedings of 25th IEEE International Conference on Data Engineering (ICDE), pages 736-747, 2009.


  • Work Experience
  • Tutor, Web Information Systems, INFS3202/7202, 2008
  • Casual Research Assistant, 2008
  • Intern, Microsoft Research Asia, 2009


  • Miscellaneous

  • Gnuplot, not so Frequently Asked Questions , Gnuplot demo
  • R-tree portal
  • An Introduction to Bayesian Networks and their Contemporary Applications
  • Statistical Data Mining Tutorials by Prof. Andrew Moore