Xingquan Zhu

Xingquan Zhu is an assistant professor in the Department of Computer Science and Engineering at Florida Atlantic University, Boca Raton, FL. He received his Ph.D. in computer science from Fudan University, Shanghai, China, in 2001. From February 2001 to October 2002, he was a postdoctoral associate in the Department of Computer Science, Purdue University, West Lafayette, IN. From October 2002 to July 2006, he was a research assistant professor in the Department of Computer Science, University of Vermont, Burlington, VT. His research interests include data mining, machine learning, data quality, multimedia systems and information retrieval. Since 2000, Dr. Zhu has published extensively, including over 50 refereed papers in various journals and conference proceedings.

Publications

International Journal of Monitoring and Surveillance Technologies Research (IJMSTR)
Nikolaos Bourbakis, Konstantina S. Nikita. Est. 2013.
The International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) publishes cutting-edge research on monitoring and surveillance technologies. The journal...
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model
DongHong Sun, Li Liu, Peng Zhang, Xingquan Zhu, Yong Shi. © 2013. 14 pages.
Due to the flexibility of multi-criteria optimization, Regularized Multiple Criteria Linear Programming (RMCLP) has received attention in decision support systems. Numerous...
Augmented Reality Research for Architecture and Design
Mi Jeong Kim, Xiangyu Wang, Xingquan Zhu, Shih-Chung Kang. © 2012. 13 pages.
A growing body of research has shown that Augmented Reality (AR) has the potential to contribute to interaction and visualization for architecture and design. While this emerging...
Decision Rule Extraction for Regularized Multiple Criteria Linear Programming Model
DongHong Sun, Li Liu, Peng Zhang, Xingquan Zhu, Yong Shi. © 2011. 14 pages.
Due to the flexibility of multi-criteria optimization, Regularized Multiple Criteria Linear Programming (RMCLP) has received attention in decision support systems. Numerous...
Knowledge Discovery and Data Mining: Challenges and Realities
Xingquan Zhu, Ian Davidson. © 2007. 290 pages.
Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and...
Content-Based Video Indexing and Retrieval
Jianping Fan, Xingquan Zhu, Jing Xiao. © 2004. 35 pages.
Recent advances in digital video compression and networks have made videos more accessible than ever. Several content-based video retrieval systems have been proposed in the...